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DBMS > Ehcache vs. Google Cloud Bigtable vs. Heroic vs. JanusGraph vs. OrigoDB

System Properties Comparison Ehcache vs. Google Cloud Bigtable vs. Heroic vs. JanusGraph vs. OrigoDB

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHeroic  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A fully ACID in-memory object graph database
Primary database modelKey-value storeKey-value store
Wide column store
Time Series DBMSGraph DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.79
Rank#66  Overall
#8  Key-value stores
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score1.85
Rank#134  Overall
#12  Graph DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Websitewww.ehcache.orgcloud.google.com/­bigtablegithub.com/­spotify/­heroicjanusgraph.orgorigodb.com
Technical documentationwww.ehcache.org/­documentationcloud.google.com/­bigtable/­docsspotify.github.io/­heroicdocs.janusgraph.orgorigodb.com/­docs
DeveloperTerracotta Inc, owned by Software AGGoogleSpotifyLinux Foundation; originally developed as Titan by AureliusRobert Friberg et al
Initial release20092015201420172009 infounder the name LiveDB
Current release3.10.0, March 20221.0.0, October 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC#
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Unix
Windows
Linux
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyesUser defined using .NET types and collections
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.nonononono infocan be achieved using .NET
Secondary indexesnonoyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnonononono
APIs and other access methodsJCachegRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
.NET Client API
HTTP API
LINQ
Supported programming languagesJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
.Net
Server-side scripts infoStored proceduresnononoyesyes
Triggersyes infoCache Event Listenersnonoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerInternal replication in Colossus, and regional replication between two clusters in different zonesyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphsdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceAtomic single-row operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)User authentification and security via Rexster Graph ServerRole based authorization

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More resources
EhcacheGoogle Cloud BigtableHeroicJanusGraph infosuccessor of TitanOrigoDB
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