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DBMS > Ehcache vs. OrigoDB vs. PlanetScale vs. Realm vs. TerminusDB

System Properties Comparison Ehcache vs. OrigoDB vs. PlanetScale vs. Realm vs. TerminusDB

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonOrigoDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonRealm  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsA fully ACID in-memory object graph databaseScalable, distributed, serverless MySQL database platform built on top of VitessA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelKey-value storeDocument store
Object oriented DBMS
Relational DBMSDocument storeGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
RDF store
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
#53  Document stores
#20  Object oriented DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.ehcache.orgorigodb.complanetscale.comrealm.ioterminusdb.com
Technical documentationwww.ehcache.org/­documentationorigodb.com/­docsplanetscale.com/­docsrealm.io/­docsterminusdb.github.io/­terminusdb/­#
DeveloperTerracotta Inc, owned by Software AGRobert Friberg et alPlanetScaleRealm, acquired by MongoDB in May 2019DataChemist Ltd.
Initial release20092009 infounder the name LiveDB202020142018
Current release3.10.0, March 202211.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen SourcecommercialOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#GoProlog, Rust
Server operating systemsAll OS with a Java VMLinux
Windows
Docker
Linux
macOS
Android
Backend: server-less
iOS
Windows
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesyesyes
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 infocan be achieved using .NETnono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoyes infowith proprietary extensionsnoSQL-like query language (WOQL)
APIs and other access methodsJCache.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
MySQL protocol
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesJava.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
JavaScript
Python
Server-side scripts infoStored proceduresnoyesyes infoproprietary syntaxno inforuns within the applications so server-side scripts are unnecessaryyes
Triggersyes infoCache Event Listenersyes infoDomain Eventsyesyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverhorizontal partitioning infoclient side managed; servers are not synchronizedShardingnoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationMulti-source replication
Source-replica replication
noneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynodepending on modelyes infonot for MyISAM storage enginenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDACID at shard levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyes infoWrite ahead logyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoIn-Memory realm
User concepts infoAccess controlnoRole based authorizationUsers with fine-grained authorization concept infono user groups or rolesyesRole-based access control

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More resources
EhcacheOrigoDBPlanetScaleRealmTerminusDB infoformer name was DataChemist
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