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DBMS > Ehcache vs. FatDB vs. Transwarp Hippo

System Properties Comparison Ehcache vs. FatDB vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFatDB  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA widely adopted Java cache with tiered storage optionsA .NET NoSQL DBMS that can integrate with and extend SQL Server.Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelKey-value storeDocument store
Key-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websitewww.ehcache.orgwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationwww.ehcache.org/­documentation
DeveloperTerracotta Inc, owned by Software AGFatCloud
Initial release200920122023
Current release3.10.0, March 20221.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#C++
Server operating systemsAll OS with a Java VMWindowsLinux
macOS
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and String
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 indexesnoyesno
SQL infoSupport of SQLnono infoVia inetgration in SQL Serverno
APIs and other access methodsJCache.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP API
Supported programming languagesJavaC#C++
Java
Python
Server-side scripts infoStored proceduresnoyes infovia applicationsno
Triggersyes infoCache Event Listenersyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serverselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes 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.yesyes
User concepts infoAccess controlnono infoCan implement custom security layer via applicationsRole based access control and fine grained access rights

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More resources
EhcacheFatDBTranswarp Hippo
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