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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Microsoft SQL Server vs TS-SQL

Microsoft SQL Server vs TS-SQL

OverviewComparisonAlternatives

Overview

Microsoft SQL Server
Microsoft SQL Server
Stacks21.3K
Followers15.5K
Votes540
TS-SQL
TS-SQL
Stacks0
Followers7
Votes0
GitHub Stars3.3K
Forks54

Microsoft SQL Server vs TS-SQL: What are the differences?

  1. Data Types: The key difference between Microsoft SQL Server and T-SQL is the data types they support. Microsoft SQL Server offers a wide range of data types such as int, varchar, datetime, etc., while T-SQL has a more limited set of data types available, which can affect how data is stored and queried in the databases.

  2. Syntax: Another significant difference is in the syntax used for querying data. Microsoft SQL Server uses Structured Query Language (SQL) to interact with databases, while T-SQL is an extension of SQL that adds additional features and functionality for working with SQL Server databases. This difference in syntax can impact how queries are written and executed.

  3. Compatibility: Microsoft SQL Server is a relational database management system (RDBMS) developed by Microsoft, while T-SQL is a specific implementation of SQL used in SQL Server. This means that T-SQL is specifically designed to work with SQL Server databases and may not be compatible with other database management systems.

  4. Functionality: Microsoft SQL Server offers a range of advanced features and functionalities such as data warehousing, business intelligence, and data analysis tools that go beyond basic database management. T-SQL, on the other hand, focuses on querying and manipulating data within SQL Server databases, making it more specialized in this area.

  5. Development Environment: Microsoft SQL Server provides a comprehensive development environment with tools such as SQL Server Management Studio (SSMS) for managing databases, writing queries, and monitoring performance. T-SQL, being a part of Microsoft SQL Server, is integrated into this development environment, allowing for seamless interaction with the database.

  6. Security: Security is another key difference between Microsoft SQL Server and T-SQL. Microsoft SQL Server offers robust security features such as encryption, authentication, and authorization mechanisms to protect data stored in the database. T-SQL also provides security mechanisms, but they are often managed within the context of SQL Server's overall security framework.

In Summary, Microsoft SQL Server and T-SQL differ in terms of data types, syntax, compatibility, functionality, development environment, and security features.

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Detailed Comparison

Microsoft SQL Server
Microsoft SQL Server
TS-SQL
TS-SQL

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

It is a SQL database implemented purely in TypeScript type annotations. This means that it operates solely on types - you define a "database" (just a type annotation) and then query it using some more type annotations. It supports a subset of SQL, including SELECT (with conditions and joins), INSERT, UPDATE and DELETE statements.

-
SQL database; TypeScript type annotations
Statistics
GitHub Stars
-
GitHub Stars
3.3K
GitHub Forks
-
GitHub Forks
54
Stacks
21.3K
Stacks
0
Followers
15.5K
Followers
7
Votes
540
Votes
0
Pros & Cons
Pros
  • 139
    Reliable and easy to use
  • 101
    High performance
  • 95
    Great with .net
  • 65
    Works well with .net
  • 56
    Easy to maintain
Cons
  • 4
    Expensive Licensing
  • 2
    Microsoft
  • 1
    Replication can loose the data
  • 1
    Allwayon can loose data in asycronious mode
  • 1
    The maximum number of connections is only 14000 connect
No community feedback yet
Integrations
No integrations available
TypeScript
TypeScript

What are some alternatives to Microsoft SQL Server, TS-SQL?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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