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DBMS > CrateDB vs. Cubrid vs. openGauss vs. Rockset

System Properties Comparison CrateDB vs. Cubrid vs. openGauss vs. Rockset

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonCubrid  Xexclude from comparisonopenGauss  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionDistributed Database based on LuceneCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSRelational DBMSDocument store
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#9  Vector DBMS
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websitecratedb.comcubrid.com (korean)
cubrid.org (english)
gitee.com/­opengauss
opengauss.org
rockset.com
Technical documentationcratedb.com/­docscubrid.org/­manualsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.rockset.com
DeveloperCrateCUBRID Corporation, CUBRID FoundationHuawei and openGauss communityRockset
Initial release2013200820192019
Current release11.0, January 20213.0, March 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaC, C++, JavaC, C++, JavaC++
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
Windows
Linuxhosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesdynamic typing
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.nononono infoingestion from XML files supported
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyesANSI SQL 2011Read-only SQL queries, including JOINs
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
HTTP REST
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions (Javascript)Java Stored Proceduresyesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by range, list and hash)Automatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
CrateDBCubridopenGaussRockset
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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More resources
CrateDBCubridopenGaussRockset
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