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DBMS > Citus vs. GeoMesa vs. JSqlDb vs. Riak KV vs. TDSQL for MySQL

System Properties Comparison Citus vs. GeoMesa vs. JSqlDb vs. Riak KV vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGeoMesa  Xexclude from comparisonJSqlDb  Xexclude from comparisonRiak KV  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.JavaScript Query Language Database, stores JavaScript objects and primitivesDistributed, fault tolerant key-value storeA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMSSpatial DBMSDocument store
Object oriented DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitewww.citusdata.comwww.geomesa.orgjsqldb.org (offline)www.tencentcloud.com/­products/­dcdb
Technical documentationdocs.citusdata.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.tencentcloud.com/­document/­product/­1042
DeveloperCCRi and othersKonrad von BackstromOpenSource, formerly Basho TechnologiesTencent
Initial release20102014201820092013
Current release8.1, December 20184.0.5, February 20240.8, December 20183.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache License 2.0Open SourceOpen Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScalaErlang
Server operating systemsLinuxLinux
macOS
Windows
Linux
OS X
hosted
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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.yes infospecific XML type available, but no XML query functionalitynononono
Secondary indexesyesyesnorestrictedyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnononoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Native Erlang Interface
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScriptC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nofunctions in JavaScriptErlangyes
Triggersyesnonoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layernoneSharding infono "single point of failure"Automatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsdepending on storage layernoneselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layerno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storageyes, using Riak SecurityUsers with fine-grained authorization concept

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More resources
CitusGeoMesaJSqlDbRiak KVTDSQL for MySQL
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