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DBMS > Datomic vs. Geode vs. IBM Db2 warehouse vs. Postgres-XL

System Properties Comparison Datomic vs. Geode vs. IBM Db2 warehouse vs. Postgres-XL

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGeode  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesCloud-based data warehousing serviceBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitewww.datomic.comgeode.apache.orgwww.ibm.com/­products/­db2/­warehousewww.postgres-xl.org
Technical documentationdocs.datomic.comgeode.apache.org/­docswww.postgres-xl.org/­documentation
DeveloperCognitectOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.IBM
Initial release2012200220142014 infosince 2012, originally named StormDB
Current release1.0.7075, December 20231.1, February 201710 R1, October 2018
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonoyesno
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 VM infothe JDK (8 or later) is also requiredhostedLinux
macOS
Data schemeyesschema-freeyesyes
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.nonono infoImport/export of XML data possibleyes infoXML type, but no XML query functionality
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoSQL-like query language (OQL)yesyes infodistributed, parallel query execution
APIs and other access methodsRESTful HTTP APIJava Client API
Memcached protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
Java
.Net
All JVM based languages
C++
Groovy
Java
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsPL/SQL, SQL PLuser defined functions
TriggersBy using transaction functionsyes infoCache Event Listenersyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentyesyesno
User concepts infoAccess controlnoAccess rights per client and object definablefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DatomicGeodeIBM Db2 warehouse infoformerly named IBM dashDBPostgres-XL
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