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DBMS > Datomic vs. openGauss vs. Warp 10

System Properties Comparison Datomic vs. openGauss vs. Warp 10

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonopenGauss  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.11
Rank#175  Overall
#79  Relational DBMS
Score0.06
Rank#351  Overall
#35  Time Series DBMS
Websitewww.datomic.comgitee.com/­opengauss
opengauss.org
www.warp10.io
Technical documentationdocs.datomic.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.warp10.io/­content/­02_Getting_started
DeveloperCognitectHuawei and openGauss communitySenX
Initial release201220192015
Current release1.0.7180, July 20243.0, March 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen SourceOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC, C++, JavaJava
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLnoANSI SQL 2011no
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesClojure
Java
C
C++
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyes infoWarpScript
TriggersBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning (by range, list and hash)Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
DatomicopenGaussWarp 10
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