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DBMS > Dgraph vs. Ehcache vs. Heroic vs. Stardog vs. Warp 10

System Properties Comparison Dgraph vs. Ehcache vs. Heroic vs. Stardog vs. Warp 10

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEhcache  Xexclude from comparisonHeroic  Xexclude from comparisonStardog  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA widely adopted Java cache with tiered storage optionsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelGraph DBMSKey-value storeTime Series DBMSGraph DBMS
RDF store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitedgraph.iowww.ehcache.orggithub.com/­spotify/­heroicwww.stardog.comwww.warp10.io
Technical documentationdgraph.io/­docswww.ehcache.org/­documentationspotify.github.io/­heroicdocs.stardog.comwww.warp10.io/­content/­02_Getting_started
DeveloperDgraph Labs, Inc.Terracotta Inc, owned by Software AGSpotifyStardog-UnionSenX
Initial release20162009201420102015
Current release3.10.0, March 20227.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJavaJavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono infoImport/export of XML data possibleno
Secondary indexesyesnoyes infovia Elasticsearchyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLnononoYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JCacheHQL (Heroic Query Language, a JSON-based language)
HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnononouser defined functions and aggregates, HTTP Server extensions in Javayes infoWarpScript
Triggersnoyes infoCache Event Listenersnoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoby using Terracotta ServerShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes infoby using Terracotta ServeryesMulti-source replication in HA-Clusterselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Immediate Consistency
Immediate Consistency in HA-ClusterImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourcenoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes 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.yesnoyesyes
User concepts infoAccess controlno infoPlanned for future releasesnoAccess rights for users and rolesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
DgraphEhcacheHeroicStardogWarp 10
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