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DBMS > Datomic vs. EDB Postgres vs. Hazelcast vs. SWC-DB

System Properties Comparison Datomic vs. EDB Postgres vs. Hazelcast vs. SWC-DB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEDB Postgres  Xexclude from comparisonHazelcast  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.A widely adopted in-memory data gridA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSRelational DBMSKey-value storeWide column store
Secondary database modelsDocument store
Spatial DBMS
Document store infoJSON support with IMDG 3.12Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.datomic.comwww.enterprisedb.comhazelcast.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.datomic.comwww.enterprisedb.com/­docshazelcast.org/­imdg/­docs
DeveloperCognitectEnterpriseDBHazelcastAlex Kashirin
Initial release2012200520082020
Current release1.0.6735, June 202314, December 20215.3.6, November 20230.5, April 2021
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infoBSD for PostgreSQL-componentsOpen Source infoApache Version 2; commercial licenses availableOpen 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, ClojureCJavaC++
Server operating systemsAll OS with a Java VMLinux
Windows
All OS with a Java VMLinux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.yes infothe object must implement a serialization strategyno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infostandard with numerous extensionsSQL-like query languageSQL-like query language
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary protocol
Thrift
Supported programming languagesClojure
Java
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoEvent Listeners, Executor Servicesno
TriggersBy using transaction functionsyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning infoby hash, list or rangeShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replicationyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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 developmentnoyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardRole-based access control

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More resources
DatomicEDB PostgresHazelcastSWC-DB infoSuper Wide Column Database
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