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

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

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeode  Xexclude from comparisonHazelcast  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA widely adopted in-memory data gridA fast-speed and highly-scalable Graph DBMS
Primary database modelGraph DBMSRelational DBMSKey-value storeKey-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
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Websitedgraph.iowww.esgyn.cngeode.apache.orghazelcast.comgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdgraph.io/­docsgeode.apache.org/­docshazelcast.org/­imdg/­docshugegraph.apache.org/­docs
DeveloperDgraph Labs, Inc.EsgynOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.HazelcastBaidu
Initial release20162015200220082018
Current release1.1, February 20175.3.6, November 20230.9
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen 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 languageGoC++, JavaJavaJavaJava
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredAll OS with a Java VMLinux
macOS
Unix
Data schemeschema-freeyesschema-freeschema-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 indexesyesyesnoyesyes infoalso supports composite index and range index
SQL infoSupport of SQLnoyesSQL-like query language (OQL)SQL-like query languageno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
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
All languages supporting JDBC/ODBC/ADO.Net.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Groovy
Java
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresuser defined functionsyes infoEvent Listeners, Executor Servicesasynchronous Gremlin script jobs
Triggersnonoyes infoCache Event Listenersyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersMulti-source replicationyes infoReplicated Mapyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesvia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integritynoyesnonoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights per client and object definableRole-based access controlUsers, roles and permissions

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More resources
DgraphEsgynDBGeodeHazelcastHugeGraph
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