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DBMS > Datomic vs. IBM Db2 Event Store vs. Oracle Rdb vs. Solr

System Properties Comparison Datomic vs. IBM Db2 Event Store vs. Oracle Rdb vs. Solr

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSolr  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 widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Relational DBMSSearch engine
Secondary database modelsSpatial DBMS
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
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.datomic.comwww.ibm.com/­products/­db2-event-storewww.oracle.com/­database/­technologies/­related/­rdb.htmlsolr.apache.org
Technical documentationdocs.datomic.comwww.ibm.com/­docs/­en/­db2-event-storewww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsolr.apache.org/­resources.html
DeveloperCognitectIBMOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software Foundation
Initial release2012201719842006
Current release1.0.6735, June 20232.07.4.1.1, 20219.5.0, February 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infofree developer edition availablecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC and C++Java
Server operating systemsAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionHP Open VMSAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic 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.nononoyes
Secondary indexesyesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyesSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoTransaction FunctionsyesJava plugins
TriggersBy using transaction functionsnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersActive-active shard replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes, on a single nodeoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
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
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 developmentyesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes

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More resources
DatomicIBM Db2 Event StoreOracle RdbSolr
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