Microsoft Sql Server Management Studio 2012 Download For Mac

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Microsoft SQL Server
Initial releaseApril 24, 1989; 30 years ago, as SQL Server 1.0
Stable release
Written inC, C++[1]
Operating systemLinux, Microsoft Windows Server, Microsoft Windows
Available inEnglish, Chinese, French, German, Italian, Japanese, Korean, Portuguese (Brazil), Russian, Spanish and Indonesian[2]
TypeRelational database management system
LicenseProprietary software

Microsoft SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network (including the Internet).

Microsoft markets at least a dozen different editions of Microsoft SQL Server, aimed at different audiences and for workloads ranging from small single-machine applications to large Internet-facing applications with many concurrent users.

  • 1History
  • 2Editions
  • 4Data storage
  • 5Data retrieval and programmability
  • 6Services


The history of Microsoft SQL Server begins with the first Microsoft SQL Server product—SQL Server 1.0, a 16-bit server for the OS/2 operating system in 1989—and extends to the current day.


  • MS SQL Server for OS/2 began as a project to port Sybase SQL Server onto OS/2 in 1989, by Sybase, Ashton-Tate, and Microsoft.
  • SQL Server 4.2 for NT is released in 1993, marking the entry onto Windows NT.
  • SQL Server 6.0 is released in 1995, marking the end of collaboration with Sybase; Sybase would continue developing their own variant of SQL Server, Sybase Adaptive Server Enterprise, independently of Microsoft.
  • SQL Server 7.0 is released in 1998, marking the conversion of the source code from C to C++.
  • SQL Server 2005, released in 2005, finishes the complete revision of the old Sybase code into Microsoft code.
  • SQL Server 2017, released in 2017, adds Linux support for these Linux platforms: Red Hat Enterprise Linux, SUSE Linux Enterprise Server, Ubuntu & Docker Engine.[3]


As of July 2019, the following versions are supported by Microsoft:

  • SQL Server 2012[4]
  • SQL Server 2014
  • SQL Server 2016
  • SQL Server 2017

From SQL Server 2016 onward, the product is supported on x64 processors only.[5]

The current version is Microsoft SQL Server 2017, released October 2, 2017. The RTM version is 14.1709.3807.1.

SQL Server 2019 has been released as a community technology preview and is slated for release to manufacturing in the second half of 2019.[6]


Microsoft makes SQL Server available in multiple editions, with different feature sets and targeting different users. These editions are:[7][8]

Mainstream editions[edit]

SQL Server Enterprise Edition includes both the core database engine and add-on services, with a range of tools for creating and managing a SQL Server cluster. It can manage databases as large as 524 petabytes and address 12 terabytes of memory and supports 640 logical processors (CPU cores).[9]
SQL Server Standard edition includes the core database engine, along with the stand-alone services. It differs from Enterprise edition in that it supports fewer active instances (number of nodes in a cluster) and does not include some high-availability functions such as hot-add memory (allowing memory to be added while the server is still running), and parallel indexes.
SQL Server Web Edition is a low-TCO option for Web hosting.
Business Intelligence
Introduced in SQL Server 2012 and focusing on Self Service and Corporate Business Intelligence. It includes the Standard Edition capabilities and Business Intelligence tools: PowerPivot, Power View, the BI Semantic Model, Master Data Services, Data Quality Services and xVelocity in-memory analytics.[10]
SQL Server Workgroup Edition includes the core database functionality but does not include the additional services. Note that this edition has been retired in SQL Server 2012.[11]
SQL Server Express Edition is a scaled down, free edition of SQL Server, which includes the core database engine. While there are no limitations on the number of databases or users supported, it is limited to using one processor, 1 GB memory and 10 GB database files (4 GB database files prior to SQL Server Express 2008 R2).[12] It is intended as a replacement for MSDE. Two additional editions provide a superset of features not in the original Express Edition. The first is SQL Server Express with Tools, which includes SQL Server Management Studio Basic. SQL Server Express with Advanced Services adds full-text search capability and reporting services.[13]

Specialized editions[edit]

Azure SQL Database is the cloud-based version of Microsoft SQL Server, presented as a platform as a service offering on Microsoft Azure.
Azure SQL Data Warehouse is the cloud-based version of Microsoft SQL Server in a MPP (massively parallel processing) architecture for analytics workloads, presented as a platform as a service offering on Microsoft Azure.
Compact (SQL CE)
The compact edition is an embedded database engine. Unlike the other editions of SQL Server, the SQL CE engine is based on SQL Mobile (initially designed for use with hand-held devices) and does not share the same binaries. Due to its small size (1 MB DLL footprint), it has a markedly reduced feature set compared to the other editions. For example, it supports a subset of the standard data types, does not support stored procedures or Views or multiple-statement batches (among other limitations). It is limited to 4 GB maximum database size and cannot be run as a Windows service, Compact Edition must be hosted by the application using it. The 3.5 version includes support for ADO.NET Synchronization Services. SQL CE does not support ODBC connectivity, unlike SQL Server proper.
SQL Server Developer Edition includes the same features as SQL Server Enterprise Edition, but is limited by the license to be only used as a development and test system, and not as production server. Starting early 2016, Microsoft made this edition free of charge to the public.[14]
Embedded (SSEE)
SQL Server 2005 Embedded Edition is a specially configured named instance of the SQL Server Express database engine which can be accessed only by certain Windows Services.
SQL Server Evaluation Edition, also known as the Trial Edition, has all the features of the Enterprise Edition, but is limited to 180 days, after which the tools will continue to run, but the server services will stop.[15]
Fast Track
SQL Server Fast Track is specifically for enterprise-scale data warehousing storage and business intelligence processing, and runs on reference-architecture hardware that is optimized for Fast Track.[16]
Introduced in SQL Server Express 2012, LocalDB is a minimal, on-demand, version of SQL Server that is designed for application developers.[17] It can also be used as an embedded database.[18]
Analytics Platform System (APS)
Formerly Parallel Data Warehouse (PDW) A massively parallel processing (MPP) SQL Server appliance optimized for large-scale data warehousing such as hundreds of terabytes.[19]
Datawarehouse Appliance Edition
Pre-installed and configured as part of an appliance in partnership with Dell & HP base on the Fast Track architecture. This edition does not include SQL Server Integration Services, Analysis Services, or Reporting Services.

Discontinued editions[edit]

Microsoft SQL Server Data Engine / Desktop Engine / Desktop Edition. SQL Server 7 and SQL Server 2000. Intended for use as an application component, it did not include GUI management tools. Later, Microsoft also made available a web admin tool. Included with some versions of Microsoft Access, Microsoft development tools, and other editions of SQL Server.[20]
Personal Edition
SQL Server 2000. Had workload or connection limits like MSDE, but no database size limit. Includes standard management tools. Intended for use as a mobile / disconnected proxy, licensed for use with SQL Server 2000 Standard edition.[20]
SQL Server 2008 R2 Datacenter is a full-featured edition of SQL Server and is designed for datacenters that need high levels of application support and scalability. It supports 256 logical processors and virtually unlimited memory and comes with StreamInsight Premium edition.[21] The Datacenter edition has been retired in SQL Server 2012; all of its features are available in SQL Server 2012 Enterprise Edition.[11]


The protocol layer implements the external interface to SQL Server. All operations that can be invoked on SQL Server are communicated to it via a Microsoft-defined format, called Tabular Data Stream (TDS). TDS is an application layer protocol, used to transfer data between a database server and a client. Initially designed and developed by Sybase Inc. for their Sybase SQL Server relational database engine in 1984, and later by Microsoft in Microsoft SQL Server, TDS packets can be encased in other physical transport dependent protocols, including TCP/IP, named pipes, and shared memory. Consequently, access to SQL Server is available over these protocols. In addition, the SQL Server API is also exposed over web services.[8]

Data storage[edit]

Data storage is a database, which is a collection of tables with typed columns. SQL Server supports different data types, including primitive types such as Integer, Float, Decimal, Char (including character strings), Varchar (variable length character strings), binary (for unstructured blobs of data), Text (for textual data) among others. The rounding of floats to integers uses either Symmetric Arithmetic Rounding or Symmetric Round Down (fix) depending on arguments: SELECT Round(2.5, 0) gives 3.

Microsoft SQL Server also allows user-defined composite types (UDTs) to be defined and used. It also makes server statistics available as virtual tables and views (called Dynamic Management Views or DMVs). In addition to tables, a database can also contain other objects including views, stored procedures, indexes and constraints, along with a transaction log. A SQL Server database can contain a maximum of 231 objects, and can span multiple OS-level files with a maximum file size of 260 bytes (1 exabyte).[8] The data in the database are stored in primary data files with an extension .mdf. Secondary data files, identified with a .ndf extension, are used to allow the data of a single database to be spread across more than one file, and optionally across more than one file system. Log files are identified with the .ldf extension.[8]

Storage space allocated to a database is divided into sequentially numbered pages, each 8 KB in size. A page is the basic unit of I/O for SQL Server operations. A page is marked with a 96-byte header which stores metadata about the page including the page number, page type, free space on the page and the ID of the object that owns it. Page type defines the data contained in the page: data stored in the database, index, allocation map which holds information about how pages are allocated to tables and indexes, change map which holds information about the changes made to other pages since last backup or logging, or contain large data types such as image or text. While page is the basic unit of an I/O operation, space is actually managed in terms of an extent which consists of 8 pages. A database object can either span all 8 pages in an extent ('uniform extent') or share an extent with up to 7 more objects ('mixed extent'). A row in a database table cannot span more than one page, so is limited to 8 KB in size. However, if the data exceeds 8 KB and the row contains varchar or varbinary data, the data in those columns are moved to a new page (or possibly a sequence of pages, called an allocation unit) and replaced with a pointer to the data.[22]

For physical storage of a table, its rows are divided into a series of partitions (numbered 1 to n). The partition size is user defined; by default all rows are in a single partition. A table is split into multiple partitions in order to spread a database over a computer cluster. Rows in each partition are stored in either B-tree or heap structure. If the table has an associated, clustered index to allow fast retrieval of rows, the rows are stored in-order according to their index values, with a B-tree providing the index. The data is in the leaf node of the leaves, and other nodes storing the index values for the leaf data reachable from the respective nodes. If the index is non-clustered, the rows are not sorted according to the index keys. An indexed view has the same storage structure as an indexed table. A table without a clustered index is stored in an unordered heap structure. However, the table may have non-clustered indices to allow fast retrieval of rows. In some situations the heap structure has performance advantages over the clustered structure. Both heaps and B-trees can span multiple allocation units.[23]

Buffer management[edit]

SQL Server buffers pages in RAM to minimize disk I/O. Any 8 KB page can be buffered in-memory, and the set of all pages currently buffered is called the buffer cache. The amount of memory available to SQL Server decides how many pages will be cached in memory. The buffer cache is managed by the Buffer Manager. Either reading from or writing to any page copies it to the buffer cache. Subsequent reads or writes are redirected to the in-memory copy, rather than the on-disc version. The page is updated on the disc by the Buffer Manager only if the in-memory cache has not been referenced for some time. While writing pages back to disc, asynchronous I/O is used whereby the I/O operation is done in a background thread so that other operations do not have to wait for the I/O operation to complete. Each page is written along with its checksum when it is written. When reading the page back, its checksum is computed again and matched with the stored version to ensure the page has not been damaged or tampered with in the meantime.[24]

Concurrency and locking[edit]

SQL Server allows multiple clients to use the same database concurrently. As such, it needs to control concurrent access to shared data, to ensure data integrity—when multiple clients update the same data, or clients attempt to read data that is in the process of being changed by another client. SQL Server provides two modes of concurrency control: pessimistic concurrency and optimistic concurrency. When pessimistic concurrency control is being used, SQL Server controls concurrent access by using locks. Locks can be either shared or exclusive. Exclusive lock grants the user exclusive access to the data—no other user can access the data as long as the lock is held. Shared locks are used when some data is being read—multiple users can read from data locked with a shared lock, but not acquire an exclusive lock. The latter would have to wait for all shared locks to be released.

Locks can be applied on different levels of granularity—on entire tables, pages, or even on a per-row basis on tables. For indexes, it can either be on the entire index or on index leaves. The level of granularity to be used is defined on a per-database basis by the database administrator. While a fine-grained locking system allows more users to use the table or index simultaneously, it requires more resources, so it does not automatically yield higher performance. SQL Server also includes two more lightweight mutual exclusion solutions—latches and spinlocks—which are less robust than locks but are less resource intensive. SQL Server uses them for DMVs and other resources that are usually not busy. SQL Server also monitors all worker threads that acquire locks to ensure that they do not end up in deadlocks—in case they do, SQL Server takes remedial measures, which in many cases are to kill one of the threads entangled in a deadlock and roll back the transaction it started.[8] To implement locking, SQL Server contains the Lock Manager. The Lock Manager maintains an in-memory table that manages the database objects and locks, if any, on them along with other metadata about the lock. Access to any shared object is mediated by the lock manager, which either grants access to the resource or blocks it.

SQL Server also provides the optimistic concurrency control mechanism, which is similar to the multiversion concurrency control used in other databases. The mechanism allows a new version of a row to be created whenever the row is updated, as opposed to overwriting the row, i.e., a row is additionally identified by the ID of the transaction that created the version of the row. Both the old as well as the new versions of the row are stored and maintained, though the old versions are moved out of the database into a system database identified as Tempdb. When a row is in the process of being updated, any other requests are not blocked (unlike locking) but are executed on the older version of the row. If the other request is an update statement, it will result in two different versions of the rows—both of them will be stored by the database, identified by their respective transaction IDs.[8]

Data retrieval and programmability[edit]

The main mode of retrieving data from a SQL Server database is querying for it. The query is expressed using a variant of SQL called T-SQL, a dialect Microsoft SQL Server shares with Sybase SQL Server due to its legacy. The query declaratively specifies what is to be retrieved. It is processed by the query processor, which figures out the sequence of steps that will be necessary to retrieve the requested data. The sequence of actions necessary to execute a query is called a query plan. There might be multiple ways to process the same query. For example, for a query that contains a join statement and a select statement, executing join on both the tables and then executing select on the results would give the same result as selecting from each table and then executing the join, but result in different execution plans. In such case, SQL Server chooses the plan that is expected to yield the results in the shortest possible time. This is called query optimization and is performed by the query processor itself.[8]

SQL Server includes a cost-based query optimizer which tries to optimize on the cost, in terms of the resources it will take to execute the query. Given a query, then the query optimizer looks at the database schema, the database statistics and the system load at that time. It then decides which sequence to access the tables referred in the query, which sequence to execute the operations and what access method to be used to access the tables. For example, if the table has an associated index, whether the index should be used or not: if the index is on a column which is not unique for most of the columns (low 'selectivity'), it might not be worthwhile to use the index to access the data. Finally, it decides whether to execute the query concurrently or not. While a concurrent execution is more costly in terms of total processor time, because the execution is actually split to different processors might mean it will execute faster. Once a query plan is generated for a query, it is temporarily cached. For further invocations of the same query, the cached plan is used. Unused plans are discarded after some time.[8][25]

SQL Server also allows stored procedures to be defined. Stored procedures are parameterized T-SQL queries, that are stored in the server itself (and not issued by the client application as is the case with general queries). Stored procedures can accept values sent by the client as input parameters, and send back results as output parameters. They can call defined functions, and other stored procedures, including the same stored procedure (up to a set number of times). They can be selectively provided access to. Unlike other queries, stored procedures have an associated name, which is used at runtime to resolve into the actual queries. Also because the code need not be sent from the client every time (as it can be accessed by name), it reduces network traffic and somewhat improves performance.[26] Execution plans for stored procedures are also cached as necessary.


Sql server management studio

T-SQL (Transact-SQL) is Microsoft's proprietary procedural language extension for SQL Server. It provides REPL (Read-Eval-Print-Loop) instructions that extend standard SQL's instruction set for Data Manipulation (DML) and Data Definition (DDL) instructions, including SQL Server-specific settings, security and database statistics management.

It exposes keywords for the operations that can be performed on SQL Server, including creating and altering database schemas, entering and editing data in the database as well as monitoring and managing the server itself. Client applications that consume data or manage the server will leverage SQL Server functionality by sending T-SQL queries and statements which are then processed by the server and results (or errors) returned to the client application. For this it exposes read-only tables from which server statistics can be read. Management functionality is exposed via system-defined stored procedures which can be invoked from T-SQL queries to perform the management operation. It is also possible to create linked Servers using T-SQL. Linked servers allow a single query to process operations performed on multiple servers.[27]

SQL Server Native Client (a.k.a. SNAC)[edit]

SQL Server Native Client is the native client side data access library for Microsoft SQL Server, version 2005 onwards. It natively implements support for the SQL Server features including the Tabular Data Stream implementation, support for mirrored SQL Server databases, full support for all data types supported by SQL Server, asynchronous operations, query notifications, encryption support, as well as receiving multiple result sets in a single database session. SQL Server Native Client is used under the hood by SQL Server plug-ins for other data access technologies, including ADO or OLE DB. The SQL Server Native Client can also be directly used, bypassing the generic data access layers.[28]

On November 28, 2011, a preview release of the SQL Server ODBC driver for Linux was released.[29]

SQL CLR[edit]

Microsoft SQL Server 2005 includes a component named SQL CLR ('Common Language Runtime') via which it integrates with .NET Framework. Unlike most other applications that use .NET Framework, SQL Server itself hosts the .NET Framework runtime, i.e., memory, threading and resource management requirements of .NET Framework are satisfied by SQLOS itself, rather than the underlying Windows operating system. SQLOS provides deadlock detection and resolution services for .NET code as well. With SQL CLR, stored procedures and triggers can be written in any managed.NET language, including C# and VB.NET. Managed code can also be used to define UDT's (user defined types), which can persist in the database. Managed code is compiled to CLI assemblies and after being verified for type safety, registered at the database. After that, they can be invoked like any other procedure.[30] However, only a subset of the Base Class Library is available, when running code under SQL CLR. Most APIs relating to user interface functionality are not available.[30]

When writing code for SQL CLR, data stored in SQL Server databases can be accessed using the ADO.NETAPIs like any other managed application that accesses SQL Server data. However, doing that creates a new database session, different from the one in which the code is executing. To avoid this, SQL Server provides some enhancements to the ADO.NET provider that allows the connection to be redirected to the same session which already hosts the running code. Such connections are called context connections and are set by setting context connection parameter to true in the connection string. SQL Server also provides several other enhancements to the ADO.NET API, including classes to work with tabular data or a single row of data as well as classes to work with internal metadata about the data stored in the database. It also provides access to the XML features in SQL Server, including XQuery support. These enhancements are also available in T-SQL Procedures in consequence of the introduction of the new XML Datatype (query, value, nodes functions).[31]


SQL Server also includes an assortment of add-on services. While these are not essential for the operation of the database system, they provide value added services on top of the core database management system. These services either run as a part of some SQL Server component or out-of-process as Windows Service and presents their own API to control and interact with them.

Machine Learning Services[edit]

The SQL Server Machine Learning services operates within the SQL server instance, allowing people to do machine learning and data analytics without having to send data across the network or be limited by the memory of their own computers. The services come with Microsoft's R and Python distributions that contain commonly used packages for data science, along with some proprietary packages (e.g. revoscalepy, RevoScaleR, microsoftml) that can be used to create machine models at scale.

Analysts can either configure their client machine to connect to a remote SQL server and push the script executions to it, or they can run a R or Python scripts as an external script inside a T-SQL query. The trained machine learning model can be stored inside a database and used for scoring.[32]

Service Broker[edit]

Used inside an instance, programming environment. For cross-instance applications, Service Broker communicates over TCP/IP and allows the different components to be synchronized, via exchange of messages. The Service Broker, which runs as a part of the database engine, provides a reliable messaging and message queuing platform for SQL Server applications.[33]

Sql Server Management Studio Download 2012

Replication Services[edit]

SQL Server Replication Services are used by SQL Server to replicate and synchronize database objects, either in entirety or a subset of the objects present, across replication agents, which might be other database servers across the network, or database caches on the client side. Lulla follows a publisher/subscriber model, i.e., the changes are sent out by one database server ('publisher') and are received by others ('subscribers'). SQL Server supports three different types of replication:[34]

Transaction replication
Each transaction made to the publisher database (master database) is synced out to subscribers, who update their databases with the transaction. Transactional replication synchronizes databases in near real time.[35]
Merge replication
Changes made at both the publisher and subscriber databases are tracked, and periodically the changes are synchronized bi-directionally between the publisher and the subscribers. If the same data has been modified differently in both the publisher and the subscriber databases, synchronization will result in a conflict which has to be resolved, either manually or by using pre-defined policies. rowguid needs to be configured on a column if merge replication is configured.[36]
Snapshot replication
Snapshot replication publishes a copy of the entire database (the then-snapshot of the data) and replicates out to the subscribers. Further changes to the snapshot are not tracked.[37]

Analysis Services[edit]

SQL Server Analysis Services adds OLAP and data mining capabilities for SQL Server databases. The OLAP engine supports MOLAP, ROLAP and HOLAP storage modes for data. Analysis Services supports the XML for Analysis standard as the underlying communication protocol. The cube data can be accessed using MDX and LINQ[38] queries.[39]Data mining specific functionality is exposed via the DMX query language. Analysis Services includes various algorithms—Decision trees, clustering algorithm, Naive Bayes algorithm, time series analysis, sequence clustering algorithm, linear and logistic regression analysis, and neural networks—for use in data mining.[40]

Reporting Services[edit]

SQL Server Reporting Services is a report generation environment for data gathered from SQL Server databases. It is administered via a web interface. Reporting services features a web services interface to support the development of custom reporting applications. Reports are created as RDL files.[41]

Reports can be designed using recent versions of Microsoft Visual Studio (Visual Studio.NET 2003, 2005, and 2008)[42] with Business Intelligence Development Studio, installed or with the included Report Builder. Once created, RDL files can be rendered in a variety of formats,[43][44] including Excel, PDF, CSV, XML, BMP, EMF, GIF, JPEG, PNG, and TIFF,[45] and HTML Web Archive.

Notification Services[edit]

Originally introduced as a post-release add-on for SQL Server 2000,[46] Notification Services was bundled as part of the Microsoft SQL Server platform for the first and only time with SQL Server 2005.[47][48] SQL Server Notification Services is a mechanism for generating), i.e., linguistic variants of a word (such as a verb in a different tense) will also be a match for a given word (but with a lower rank than an exact match). Proximity searches are also supported, i.e., if the words searched for do not occur in the sequence they are specified in the query but are near each other, they are also considered a match. T-SQL exposes special operators that can be used to access the FTS capabilities.[51][52]

The Full Text Search engine is divided into two processes: the Filter Daemon process (msftefd.exe) and the Search process (msftesql.exe). These processes interact with the SQL Server. The Search process includes the indexer (that creates the full text indexes) and the full text query processor. The indexer scans through text columns in the database. It can also index through binary columns, and use iFilters to extract meaningful text from the binary blob (for example, when a Microsoft Word document is stored as an unstructured binary file in a database). The iFilters are hosted by the Filter Daemon process. Once the text is extracted, the Filter Daemon process breaks it up into a sequence of words and hands it over to the indexer. The indexer filters out noise words, i.e., words like A, And etc., which occur frequently and are not useful for search. With the remaining words, an inverted index is created, associating each word with the columns they were found in. SQL Server itself includes a Gatherer component that monitors changes to tables and invokes the indexer in case of updates.[53]

When a full text query is received by the SQL Server query processor, it is handed over to the FTS query processor in the Search process. The FTS query processor breaks up the query into the constituent words, filters out the noise words, and uses an inbuilt thesaurus to find out the linguistic variants for each word. The words are then queried against the inverted index and a rank of their accurateness is computed. The results are returned to the client via the SQL Server process.[53]


SQLCMD is a command line application that comes with Microsoft SQL Server, and exposes the management features of SQL Server. It allows SQL queries to be written and executed from the command prompt. It can also act as a scripting language to create and run a set of SQL statements as a script. Such scripts are stored as a .sql file, and are used either for management of databases or to create the database schema during the deployment of a database.

SQLCMD was introduced with SQL Server 2005 and this continues with SQL Server 2012, 2014 and 2016. Its predecessor for earlier versions was OSQL and ISQL, which is functionally equivalent as it pertains to TSQL execution, and many of the command line parameters are identical, although SQLCMD adds extra versatility.

Visual Studio[edit]

Microsoft Visual Studio includes native support for data programming with Microsoft SQL Server. It can be used to write and debug code to be executed by SQL CLR. It also includes a data designer that can be used to graphically create, view or edit database schemas. Queries can be created either visually or using code. SSMS 2008 onwards, provides intellisense for SQL queries as well.

SQL Server Management Studio[edit]

SQL Server Management Studio is a GUI tool included with SQL Server 2005 and later for configuring, managing, and administering all components within Microsoft SQL Server. The tool includes both script editors and graphical tools that work with objects and features of the server.[54] SQL Server Management Studio replaces Enterprise Manager as the primary management interface for Microsoft SQL Server since SQL Server 2005. A version of SQL Server Management Studio is also available for SQL Server Express Edition, for which it is known as SQL Server Management Studio Express (SSMSE).[55]

A central feature of SQL Server Management Studio is the Object Explorer, which allows the user to browse, select, and act upon any of the objects within the server.[56] It can be used to visually observe and analyze query plans and optimize the database performance, among others.[57] SQL Server Management Studio can also be used to create a new database, alter any existing database schema by adding or modifying tables and indexes, or analyze performance. It includes the query windows which provide a GUI based interface to write and execute queries.[8]

SQL Server Operations Studio[edit]

SQL Server Operations Studio (Preview) is a cross platform query editor available as an optional download. The tool allows users to write queries; export query results; commit SQL scripts to GIT repositories and perform basic server diagnostics. SQL Server Operations Studio supports Windows, Mac and Linux systems.[58]

Business Intelligence Development Studio[edit]

Business Intelligence Development Studio (BIDS) is the IDE from Microsoft used for developing data analysis and Business Intelligence solutions utilizing the Microsoft SQL Server Analysis Services, Reporting Services and Integration Services. It is based on the Microsoft Visual Studio development environment but is customized with the SQL Server services-specific extensions and project types, including tools, controls and projects for reports (using Reporting Services), Cubes and data mining structures (using Analysis Services).[59] For SQL Server 2012 and later, this IDE has been renamed SQL Server Data Tools (SSDT).

See also[edit]


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  32. ^'What is SQL Server Machine Learning Services'. SQL Server homepage. Microsoft Corporation. Retrieved 2018-04-10.
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  34. ^'Types of Replication Overview'. Retrieved 2007-12-03.
  35. ^'Transactional Replication Overview'. Retrieved 2007-12-03.
  36. ^'Merge Replication Overview'. Retrieved 2007-12-03.
  37. ^'Snapshot replication Overview'. Retrieved 2007-12-03.
  38. ^'SSAS Entity Framework Provider'. Retrieved 2011-09-29.
  39. ^'Analysis Services Architecture'. Retrieved 2007-12-03.
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  41. ^'SQL Server Reporting Services'. Retrieved 2007-12-03.
  42. ^'Cannot open a SQL Reporting Services .rptproj file Microsoft Connect'. Archived from the original on February 3, 2012. Retrieved 2011-09-04.
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Cite error: A list-defined reference named 'Transact-SQL Reference' is not used in the content (see the help page).

Further reading[edit]

  • Lance Delano, Rajesh George et al. (2005). Wrox's SQL Server 2005 Express Edition Starter Kit (Programmer to Programmer). Microsoft Press. ISBN0-7645-8923-7.
  • Delaney, Kalen, et al. (2007). Inside SQL Server 2005: Query Tuning and Optimization. Microsoft Press. ISBN0-7356-2196-9.
  • Ben-Gan, Itzik, et al. (2006). Inside Microsoft SQL Server 2005: T-SQL Programming. Microsoft Press. ISBN0-7356-2197-7.
  • Klaus Elk (2018). SQL Server with C#. ISBN1-7203-5867-2.

External links[edit]

Wikimedia Commons has media related to Microsoft SQL Server.
Wikibooks has a book on the topic of: Microsoft SQL Server
Retrieved from ''

Azure Data Studio is a data management tool that enables you to work with SQL Server, Azure SQL DB and SQL DW from Windows, macOS and Linux.

Download the latest Azure Data Studio release

Windows User Installer
Windows System Installer
Windows ZIP
Linux TAR.GZ
Linux RPM
Linux DEB

Go to our download page for more specific instructions.

Try out the latest insiders build from master:

See the change log for additional details of what's in this release.

Feature Highlights

  • Cross-Platform DB management for Windows, macOS and Linux with simple XCopy deployment
  • SQL Server Connection Management with Connection Dialog, Server Groups, Azure Integration and Registered Servers
  • Object Explorer supporting schema browsing and contextual command execution
  • T-SQL Query Editor with advanced coding features such as autosuggestions, error diagnostics, tooltips, formatting and peek definition
  • Query Results Viewer with advanced data grid supporting large result sets, export to JSONCSVExcel, query plan and charting
  • Management Dashboard supporting customizable widgets with drill-through actionable insights
  • Visual Data Editor that enables direct row insertion, update and deletion into tables
  • Backup and Restore dialogs that enables advanced customization and remote filesystem browsing, configured tasks can be executed or scripted
  • Task History window to view current task execution status, completion results with error messages and task T-SQL scripting
  • Scripting support to generate CREATE, SELECT, ALTER and DROP statements for database objects
  • Workspaces with full Git integration and Find In Files support to managing T-SQL script libraries
  • Modern light-weight shell with theming, user settings, full-screen support, integrated terminal and numerous other features

Here are some of these features in action.


If you are interested in fixing issues and contributing directly to the code base,please see the document How to Contribute, which covers the following:

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.


Azure Data Studio localization is now open for community contributions. You can contribute to localization for both software and docs.

Localization is now opened for 10 languages: French, Italian, German, Spanish, Simplified Chinese, Traditional Chinese, Japanese, Korean, Russian, and Portuguese (Brazil). Help us make Azure Data Studio available in your language!

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Contributions and 'Thank You'

Microsoft Sql Server Management Studio 2012 Download For Mac Free

We would like to thank all our users who raised issues, and in particular the following users who helped contribute fixes:

  • Stevoni for Corrected Keyboard Shortcut Execution Issue #5480
  • yamatoya for fix the format #4899
  • GeoffYoung for Fix sqlDropColumn description #4422
  • AlexFsmn for Added context menu for DBs in explorer view to backup & restore db. #2277
  • sadedil for Missing feature request: Save as XML #3729
  • gbritton1 for Removed reference to object explorer #3463
  • Tarig0 for Add Routine_Type to CreateStoredProc fixes #3257 (#3286)
  • oltruong for typo fix #3025'
  • Thomas-S-B for Removed unnecessary IErrorDetectionStrategy #749
  • Thomas-S-B for Simplified code #750
  • rdaniels6813 for Add query plan theme support #3031
  • Ruturaj123 for Fixed some typos and grammatical errors #3027
  • PromoFaux for Use emoji shortcodes in instead of � #3009
  • ckaczor for Fix: DATETIMEOFFSET data types should be ISO formatted #714
  • hi-im-T0dd for Fixed sync issue with my forked master so this commit is correct #2948
  • hi-im-T0dd for Fixed when right clicking and selecting Manage-correct name displays #2794
  • philoushka for center the icon #2760
  • anthonypants for Typo #2775
  • kstolte for Fix Invalid Configuration in Launch.json #2789
  • kstolte for Fixing a reference to SQL Ops Studio #2788
  • AlexFsmn Feature: Ability to add connection name #2332
  • AlexFsmn Disabled connection name input when connecting to a server. #2566
  • SebastianPfliegel Added more saveAsCsv options #2099
  • ianychoi Fixes a typo: Mimunum -> Minimum #1994
  • AlexFsmn Fixed bug where proper file extension wasn't appended to the filename. #2151
  • AlexFsmn Added functionality for adding any file to import wizard #2329
  • AlexFsmn Fixed background issue when copying a chart to clipboard #2215
  • AlexFsmn Fixed problem where vertical charts didn't display labels correctly. #2263
  • AlexFsmn Fixed Initial values for charts to match visuals #2266
  • AlexFsmn Renamed chart option labels #2264
  • AlexFsmn Added feature for the opening file after exporting to CSV/XLS/JSON & query files #2216
  • AlexFsmm Get Connection String should copy to clipboard #2175
  • lanceklinger Fix for double-clicking column handle in results table #1504
  • westerncj for Removed duplicate contribution from (#753)
  • ntovas for Fix for duplicate extensions shown in 'Save File' dialog. (#779)
  • SebastianPfliegel for Add cursor snippet (#475)
  • mikaoelitiana for the fix: revert README and CONTRIBUTING after last VSCode merge (#574)
  • alextercete for Reinstate menu item to install from VSIX (#682)
  • alextercete for Fix 'No extension gallery service configured' error (#427)
  • mwiedemeyer for Fix #58: Default sort order for DB size widget (#111)
  • AlexTroshkin for Show disconnect in context menu only when connectionProfile connected (#150)
  • AlexTroshkin for Fix #138: Invalid syntax color highlighting (identity not highlighting) (#140))
  • stebet for Fix #153: Fixing sql snippets that failed on a DB with a case-sensitive collation. (#152)
  • SebastianPfliegel Remove sqlExtensionHelp (#312)
  • olljanat for Implemented npm version check (#314)
  • Adam Machanic for helping with the whoisactive extension
  • All community localization contributors:
    • French: Adrien Clerbois, ANAS BELABBES, Antoine Griffard, Arian Papillon, Eric Macarez, Eric Van Thorre, Jérémy LANDON, Matthias GROSPERRIN, Maxime COQUEREL, Olivier Guinart, thierry DEMAN-BARCELÒ, Thomas Potier
    • Italian: Aldo Donetti, Alessandro Alpi, Andrea Dottor, Bruni Luca, Gianluca Hotz, Luca Nardi, Luigi Bruno, Marco Dal Pino, Mirco Vanini, Pasquale Ceglie, Riccardo Cappello, Sergio Govoni, Stefano Demiliani
    • German: Anna Henke-Gunvaldson, Ben Weissman, David Ullmer, J.M. ., Kai Modo, Konstantin Staschill, Kostja Klein, Lennart Trunk, Markus Ehrenmüller-Jensen, Mascha Kroenlein, Matthias Knoll, Mourad Louha, Thomas Hütter, Wolfgang Straßer
    • Spanish: Alberto Poblacion, Andy Gonzalez, Carlos Mendible, Christian Araujo, Daniel D, Eickhel Mendoza, Ernesto Cardenas, Ivan Toledo Ivanovic, Fran Diaz, JESUS GIL, Jorge Serrano Pérez, José Saturnino Pimentel Juárez, Mauricio Hidalgo, Pablo Iglesias, Rikhardo Estrada Rdez, Thierry DEMAN, YOLANDA CUESTA ALTIERI
    • Japanese: Fujio Kojima, Kazushi KAMEGAWA, Masayoshi Yamada, Masayuki Ozawa, Seiji Momoto, Takashi Kanai, Takayoshi Tanaka, Yoshihisa Ozaki, 庄垣内治
    • Chinese (simplified): DAN YE, Joel Yang, Lynne Dong, Ryan(Yu) Zhang, Sheng Jiang, Wei Zhang, Zhiliang Xu
    • Chinese (Traditional): Bruce Chen, Chiayi Yen, Kevin Yang, Winnie Lin, 保哥 Will, 謝政廷
    • Korean: Do-Kyun Kim, Evelyn Kim, Helen Jung, Hong Jmee, jeongwoo choi, Jun Hyoung Lee, Jungsun Kim정선, Justin Yoo, Kavrith mucha, Kiwoong Youm, MinGyu Ju, MVP_JUNO BEA, Sejun Kim, SOONMAN KWON, sung man ko, Yeongrak Choi, younggun kim, Youngjae Kim, 소영 이
    • Russian: Andrey Veselov, Anton Fontanov, Anton Savin, Elena Ostrovskaia, Igor Babichev, Maxim Zelensky, Rodion Fedechkin, Tasha T, Vladimir Zyryanov
    • Portuguese Brazil: Daniel de Sousa, Diogo Duarte, Douglas Correa, Douglas Eccker, José Emanuel Mendes, Marcelo Fernandes, Marcondes Alexandre, Roberto Fonseca, Rodrigo Crespi

And of course, we'd like to thank the authors of all upstream dependencies. Please see a full list in the ThirdPartyNotices.txt

Where Is Sql Server 2012 Management Studio


Sql Server Management Studio Express

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