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DBMS > Datomic vs. H2 vs. Rockset

System Properties Comparison Datomic vs. H2 vs. Rockset

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonH2  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#130  Overall
#65  Relational DBMS
Score10.12
Rank#47  Overall
#30  Relational DBMS
Score0.58
Rank#228  Overall
#36  Document stores
Websitewww.datomic.comwww.h2database.comrockset.com
Technical documentationdocs.datomic.comwww.h2database.com/­html/­main.htmldocs.rockset.com
DeveloperCognitectThomas MuellerRockset
Initial release201220052019
Current release0.9.5951, July 20191.4.200, October 2019
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC++
Server operating systemsAll OS with a Java VMAll OS with a Java VMhosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesdynamic 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.nonono infoingestion from XML files supported
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLnoyesRead-only SQL queries, including JOINs
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
HTTP REST
Supported programming languagesClojure
Java
JavaGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava Stored Procedures and User-Defined Functionsno
TriggersBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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 developmentyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
DatomicH2Rockset
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