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DBMS > Fujitsu Enterprise Postgres vs. Oracle Coherence vs. Splice Machine vs. Warp 10

System Properties Comparison Fujitsu Enterprise Postgres vs. Oracle Coherence vs. Splice Machine vs. Warp 10

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSplice Machine  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Oracles in-memory data grid solutionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.postgresql.fastware.comwww.oracle.com/­java/­coherencesplicemachine.comwww.warp10.io
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.oracle.com/­en/­middleware/­standalone/­coherencesplicemachine.com/­how-it-workswww.warp10.io/­content/­02_Getting_started
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyOracleSplice MachineSenX
Initial release200720142015
Current releaseFujitsu Enterprise Postgres 14, January 202214.1, August 20233.1, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJavaJava
Server operating systemsLinux
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-free
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.nono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCache
JPA
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Java
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyes infoJavayes infoWarpScript
Triggersyesyes infoLive Eventsyesno
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingShared Nothhing Auto-Sharding, Columnar PartitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, with selectable consistency levelMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDconfigurableACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infooptionallyyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardauthentification to access the cache via certificates or http basic authenticationAccess rights for users, groups and roles according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
Fujitsu Enterprise PostgresOracle CoherenceSplice MachineWarp 10
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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Fujitsu Enterprise PostgresOracle CoherenceSplice MachineWarp 10
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