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DBMS > Dgraph vs. Ehcache vs. EsgynDB vs. Hazelcast vs. HugeGraph

System Properties Comparison Dgraph vs. Ehcache vs. EsgynDB vs. Hazelcast vs. HugeGraph

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEhcache  Xexclude from comparisonEsgynDB  Xexclude from comparisonHazelcast  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA widely adopted Java cache with tiered storage optionsEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA widely adopted in-memory data gridA fast-speed and highly-scalable Graph DBMS
Primary database modelGraph DBMSKey-value storeRelational DBMSKey-value storeGraph DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
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
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Websitedgraph.iowww.ehcache.orgwww.esgyn.cnhazelcast.comgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdgraph.io/­docswww.ehcache.org/­documentationhazelcast.org/­imdg/­docshugegraph.apache.org/­docs
DeveloperDgraph Labs, Inc.Terracotta Inc, owned by Software AGEsgynHazelcastBaidu
Initial release20162009201520082018
Current release3.10.0, March 20225.3.6, November 20230.9
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0
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 languageGoJavaC++, JavaJavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinuxAll OS with a Java VMLinux
macOS
Unix
Data schemeschema-freeschema-freeyesschema-freeyes
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.nononoyes infothe object must implement a serialization strategyno
Secondary indexesyesnoyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLnonoyesSQL-like query languageno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JCacheADO.NET
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaAll languages supporting JDBC/ODBC/ADO.Net.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Groovy
Java
Python
Server-side scripts infoStored proceduresnonoJava Stored Proceduresyes infoEvent Listeners, Executor Servicesasynchronous Gremlin script jobs
Triggersnoyes infoCache Event Listenersnoyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoby using Terracotta ServerShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes infoby using Terracotta ServerMulti-source replication between multi datacentersyes infoReplicated Mapyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesvia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integritynonoyesnoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDone or two-phase-commit; repeatable reads; read commitedACID
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 releasesnofine grained access rights according to SQL-standardRole-based access controlUsers, roles and permissions

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More resources
DgraphEhcacheEsgynDBHazelcastHugeGraph
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