DBMS > ClickHouse vs. Microsoft SQL Server vs. TerarkDB
System Properties Comparison ClickHouse vs. Microsoft SQL Server vs. TerarkDB
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|Editorial information provided by DB-Engines
|ClickHouse Xexclude from comparison
|Microsoft SQL Server Xexclude from comparison
|TerarkDB Xexclude from comparison
|A high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.
|Microsofts flagship relational DBMS
|A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
|Primary database model
|Secondary database models
|Time Series DBMS
|ByteDance, originally Terark
|v184.108.40.2068-stable, December 2023
|SQL Server 2022, November 2022
|License Commercial or Open Source
|Open Source Apache 2.0
|commercial restricted free version is available
|commercial restricted open source version available
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|Server operating systems
|Typing predefined data types such as float or date
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|SQL Support of SQL
|Close to ANSI SQL (SQL/JSON + extensions)
|APIs and other access methods
MySQL wire protocol
PostgreSQL wire protocol
Tabular Data Stream (TDS)
|Supported programming languages
|C# 3rd party library
Elixir 3rd party library
Go 3rd party library
Java 3rd party library
Kotlin 3rd party library
Nim 3rd party library
Perl 3rd party library
PHP 3rd party library
Python 3rd party library
R 3rd party library
Ruby 3rd party library
Scala 3rd party library
|Server-side scripts Stored procedures
|Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
|Partitioning methods Methods for storing different data on different nodes
|key based and custom
|tables can be distributed across several files (horizontal partitioning); sharding through federation
|Replication methods Methods for redundantly storing data on multiple nodes
|Asynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.
|yes, but depending on the SQL-Server Edition
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|Access rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.
|fine grained access rights according to SQL-standard
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|Related products and services
|DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
|Navicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems.
Navicat for SQL Server gives you a fully graphical approach to database management and development.
DBHawk: Secure access to SQL, NoSQL and Cloud databases with an all-in-one solution.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Microsoft SQL Server
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