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DBMS > Ehcache vs. Fujitsu Enterprise Postgres vs. RavenDB vs. SWC-DB

System Properties Comparison Ehcache vs. Fujitsu Enterprise Postgres vs. RavenDB vs. SWC-DB

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonRavenDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseA high performance, scalable Wide Column DBMS
Primary database modelKey-value storeRelational DBMSDocument storeWide column store
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.23
Rank#68  Overall
#8  Key-value stores
Score0.37
Rank#281  Overall
#127  Relational DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Score0.01
Rank#387  Overall
#13  Wide column stores
Websitewww.ehcache.orgwww.postgresql.fastware.comravendb.netgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.ehcache.org/­documentationwww.postgresql.fastware.com/­product-manualsravendb.net/­docs
DeveloperTerracotta Inc, owned by Software AGPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHibernating RhinosAlex Kashirin
Initial release200920102020
Current release3.10.0, March 2022Fujitsu Enterprise Postgres 14, January 20225.4, July 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoAGPL version 3, commercial license 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 languageJavaCC#C++
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesnoyesyes
SQL infoSupport of SQLnoyesSQL-like query language (RQL)SQL-like query language
APIs and other access methodsJCacheADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietary protocol
Thrift
Supported programming languagesJava.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Server-side scripts infoStored proceduresnouser defined functionsyesno
Triggersyes infoCache Event Listenersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverpartitioning by range, list and by hashShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardAuthorization levels configured per client per database
More information provided by the system vendor
EhcacheFujitsu Enterprise PostgresRavenDBSWC-DB infoSuper Wide Column Database
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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EhcacheFujitsu Enterprise PostgresRavenDBSWC-DB infoSuper Wide Column Database
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