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DBMS > Datomic vs. IBM Db2 Event Store vs. Realm vs. TerminusDB

System Properties Comparison Datomic vs. IBM Db2 Event Store vs. Realm vs. TerminusDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonRealm  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDistributed Event Store optimized for Internet of Things use casesA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Document storeGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.datomic.comwww.ibm.com/­products/­db2-event-storerealm.ioterminusdb.com
Technical documentationdocs.datomic.comwww.ibm.com/­docs/­en/­db2-event-storerealm.io/­docsterminusdb.github.io/­terminusdb/­#
DeveloperCognitectIBMRealm, acquired by MongoDB in May 2019DataChemist Ltd.
Initial release2012201720142018
Current release1.0.6735, June 20232.011.0.0, January 2023
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infofree developer edition availableOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC and C++Prolog, Rust
Server operating systemsAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionAndroid
Backend: server-less
iOS
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesnoyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimenoSQL-like query language (WOQL)
APIs and other access methodsRESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesClojure
Java
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Java infowith Android only
Objective-C
React Native
Swift
JavaScript
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesno inforuns within the applications so server-side scripts are unnecessaryyes
TriggersBy using transaction functionsnoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersActive-active shard replicationnoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoin-memory journaling
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 infoIn-Memory realm
User concepts infoAccess controlnofine grained access rights according to SQL-standardyesRole-based access control

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More resources
DatomicIBM Db2 Event StoreRealmTerminusDB infoformer name was DataChemist
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