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DBMS > EDB Postgres vs. Ehcache vs. gStore vs. Splice Machine

System Properties Comparison EDB Postgres vs. Ehcache vs. gStore vs. Splice Machine

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Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonEhcache  Xexclude from comparisongStore  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionThe 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 Java cache with tiered storage optionsA native Graph DBMS to store and maintain very large RDF datasets.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSKey-value storeGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.14
Rank#342  Overall
#34  Graph DBMS
#16  RDF stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.enterprisedb.comwww.ehcache.orgen.gstore.cnsplicemachine.com
Technical documentationwww.enterprisedb.com/­docswww.ehcache.org/­documentationen.gstore.cn/­#/­enDocssplicemachine.com/­how-it-works
DeveloperEnterpriseDBTerracotta Inc, owned by Software AGSplice Machine
Initial release2005200920162014
Current release14, December 20213.10.0, March 20221.2, November 20233.1, March 2021
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentsOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSDOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++Java
Server operating systemsLinux
Windows
All OS with a Java VMLinuxLinux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-free and OWL/RDFS-schema supportyes
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.yes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infostandard with numerous extensionsnonoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCacheHTTP API
SPARQL 1.1
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
JavaC++
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyesyes infoJava
Triggersyesyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeSharding infoby using Terracotta ServerShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoby using Terracotta ServerMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceyesACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers, roles and permissions, Role-Based Access Control (RBAC) supportedAccess rights for users, groups and roles according to SQL-standard

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More resources
EDB PostgresEhcachegStoreSplice Machine
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