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

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

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGridGain  Xexclude from comparisonHazelcast  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGridGain is an in-memory computing platform, built on Apache IgniteA widely adopted in-memory data gridA fast-speed and highly-scalable Graph DBMS
Primary database modelGraph DBMSRelational DBMSKey-value store
Relational DBMS
Key-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
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Websitedgraph.iowww.esgyn.cnwww.gridgain.comhazelcast.comgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdgraph.io/­docswww.gridgain.com/­docs/­index.htmlhazelcast.org/­imdg/­docshugegraph.apache.org/­docs
DeveloperDgraph Labs, Inc.EsgynGridGain Systems, Inc.HazelcastBaidu
Initial release20162015200720082018
Current releaseGridGain 8.5.15.3.6, November 20230.9
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen 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++, JavaJava, C++, .NetJavaJava
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
All OS with a Java VMLinux
macOS
Unix
Data schemeschema-freeyesyesschema-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.nonoyesyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLnoyesANSI-99 for query and DML statements, subset of DDLSQL-like query languageno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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.NetC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Groovy
Java
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)yes infoEvent Listeners, Executor Servicesasynchronous Gremlin script jobs
Triggersnonoyes (cache interceptors and events)yes 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 datacentersyes (replicated cache)yes infoReplicated Mapyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)yesvia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate 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 dataACIDACIDACIDone 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-standardSecurity Hooks for custom implementationsRole-based access controlUsers, roles and permissions

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More resources
DgraphEsgynDBGridGainHazelcastHugeGraph
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