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DBMS > Ehcache vs. Hypertable vs. JanusGraph vs. RavenDB vs. Realm

System Properties Comparison Ehcache vs. Hypertable vs. JanusGraph vs. RavenDB vs. Realm

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonHypertable  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonRavenDB  Xexclude from comparisonRealm  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA widely adopted Java cache with tiered storage optionsAn open source BigTable implementation based on distributed file systems such as HadoopA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Open Source Operational and Transactional Enterprise NoSQL Document DatabaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelKey-value storeWide column storeGraph DBMSDocument storeDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score7.60
Rank#52  Overall
#9  Document stores
Websitewww.ehcache.orgjanusgraph.orgravendb.netrealm.io
Technical documentationwww.ehcache.org/­documentationdocs.janusgraph.orgravendb.net/­docsrealm.io/­docs
DeveloperTerracotta Inc, owned by Software AGHypertable Inc.Linux Foundation; originally developed as Titan by AureliusHibernating RhinosRealm, acquired by MongoDB in May 2019
Initial release20092009201720102014
Current release3.10.0, March 20220.9.8.11, March 20160.6.3, February 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC#
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Unix
Windows
Linux
macOS
Raspberry Pi
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.nonono
Secondary indexesnorestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLnononoSQL-like query language (RQL)no
APIs and other access methodsJCacheC++ API
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesJavaC++
Java
Perl
PHP
Python
Ruby
Clojure
Java
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnonoyesyesno inforuns within the applications so server-side scripts are unnecessary
Triggersyes infoCache Event Listenersnoyesyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serverselectable replication factor on file system levelyesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Faunus, a graph analytics engineyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency
Immediate Consistency
Default 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 integritynonoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACIDACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realm
User concepts infoAccess controlnonoUser authentification and security via Rexster Graph ServerAuthorization levels configured per client per databaseyes

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More resources
EhcacheHypertableJanusGraph infosuccessor of TitanRavenDBRealm
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