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DBMS > Dgraph vs. Hazelcast vs. IBM Db2 Event Store vs. JanusGraph

System Properties Comparison Dgraph vs. Hazelcast vs. IBM Db2 Event Store vs. JanusGraph

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHazelcast  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA widely adopted in-memory data gridDistributed Event Store optimized for Internet of Things use casesA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelGraph DBMSKey-value storeEvent Store
Time Series DBMS
Graph DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Websitedgraph.iohazelcast.comwww.ibm.com/­products/­db2-event-storejanusgraph.org
Technical documentationdgraph.io/­docshazelcast.org/­imdg/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.janusgraph.org
DeveloperDgraph Labs, Inc.HazelcastIBMLinux Foundation; originally developed as Titan by Aurelius
Initial release2016200820172017
Current release5.3.6, November 20232.00.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercial infofree developer edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC and C++Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infothe object must implement a serialization strategynono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoSQL-like query languageyes infothrough the embedded Spark runtimeno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesyesyes
Triggersnoyes infoEventsnoyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes infoReplicated MapActive-active shard replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlno infoPlanned for future releasesRole-based access controlfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server

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More resources
DgraphHazelcastIBM Db2 Event StoreJanusGraph infosuccessor of Titan
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