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DBMS > Datomic vs. H2 vs. IBM Db2 Event Store vs. Rockset

System Properties Comparison Datomic vs. H2 vs. IBM Db2 Event Store vs. Rockset

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonH2  Xexclude from comparisonIBM Db2 Event Store  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.Distributed Event Store optimized for Internet of Things use casesA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSRelational DBMSEvent Store
Time Series DBMS
Document store
Secondary database modelsSpatial DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitewww.datomic.comwww.h2database.comwww.ibm.com/­products/­db2-event-storerockset.com
Technical documentationdocs.datomic.comwww.h2database.com/­html/­main.htmlwww.ibm.com/­docs/­en/­db2-event-storedocs.rockset.com
DeveloperCognitectThomas MuellerIBMRockset
Initial release2012200520172019
Current release1.0.6735, June 20232.2.220, July 20232.0
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC and C++C++
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionhosted
Data schemeyesyesyesschema-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 indexesyesyesnoall fields are automatically indexed
SQL infoSupport of SQLnoyesyes infothrough the embedded Spark runtimeRead-only SQL queries, including JOINs
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languagesClojure
Java
JavaC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava Stored Procedures and User-Defined Functionsyesno
TriggersBy using transaction functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardingAutomatic 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 databaseActive-active shard replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)No - written data is immutableyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
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 developmentyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
DatomicH2IBM Db2 Event StoreRockset
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