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DBMS > Dgraph vs. Hazelcast vs. LeanXcale

System Properties Comparison Dgraph vs. Hazelcast vs. LeanXcale

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHazelcast  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA widely adopted in-memory data gridA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelGraph DBMSKey-value storeKey-value store
Relational 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
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Websitedgraph.iohazelcast.comwww.leanxcale.com
Technical documentationdgraph.io/­docshazelcast.org/­imdg/­docs
DeveloperDgraph Labs, Inc.HazelcastLeanXcale
Initial release201620082015
Current release5.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VM
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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 strategy
Secondary indexesyesyes
SQL infoSupport of SQLnoSQL-like query languageyes infothrough Apache Derby
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
Java
Scala
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Services
Triggersnoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 control

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More resources
DgraphHazelcastLeanXcale
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