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DBMS > ClickHouse vs. FatDB vs. FeatureBase vs. SurrealDB

System Properties Comparison ClickHouse vs. FatDB vs. FeatureBase vs. SurrealDB

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonFatDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonSurrealDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA 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.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSDocument store
Graph DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.77
Rank#31  Overall
#19  Relational DBMS
Score0.27
Rank#284  Overall
#128  Relational DBMS
Score1.08
Rank#176  Overall
#30  Document stores
#16  Graph DBMS
Websiteclickhouse.comwww.featurebase.comsurrealdb.com
Technical documentationclickhouse.com/­docsdocs.featurebase.comsurrealdb.com/­docs
DeveloperClickhouse Inc.FatCloudMolecula and Pilosa Open Source ContributorsSurrealDB Ltd
Initial release2016201220172022
Current releasev24.6.2.17-stable, July 20242022, May 2022v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#GoRust
Server operating systemsFreeBSD
Linux
macOS
WindowsLinux
macOS
Linux
macOS
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyesno
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)no infoVia inetgration in SQL ServerSQL queriesSQL-like query language
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC
JDBC
Kafka Connector
ODBC
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
C#Java
Python
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyesyes infovia applications
Triggersnoyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodeskey based and customShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess 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.no infoCan implement custom security layer via applicationsyes, based on authentication and database rules

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More resources
ClickHouseFatDBFeatureBaseSurrealDB
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