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DBMS > AnzoGraph DB vs. Ehcache vs. Graph Engine vs. Hazelcast

System Properties Comparison AnzoGraph DB vs. Ehcache vs. Graph Engine vs. Hazelcast

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonEhcache  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA widely adopted Java cache with tiered storage optionsA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA widely adopted in-memory data grid
Primary database modelGraph DBMS
RDF store
Key-value storeGraph DBMS
Key-value store
Key-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Websitecambridgesemantics.com/­anzographwww.ehcache.orgwww.graphengine.iohazelcast.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.ehcache.org/­documentationwww.graphengine.io/­docs/­manualhazelcast.org/­imdg/­docs
DeveloperCambridge SemanticsTerracotta Inc, owned by Software AGMicrosoftHazelcast
Initial release2018200920102008
Current release2.3, January 20213.10.0, March 20225.3.6, November 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and CJava
Server operating systemsLinuxAll OS with a Java VM.NETAll OS with a Java VM
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 strategy
Secondary indexesnonoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoSQL-like query language
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JCacheRESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC++
Java
Python
JavaC#
C++
F#
Visual Basic
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesyes infoEvent Listeners, Executor Services
Triggersnoyes infoCache Event Listenersnoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infoby using Terracotta Serverhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes infoby using Terracotta Serveryes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterTunable Consistency (Strong, Eventual, Weak)Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityno infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourcenoone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess rights for users and rolesnoRole-based access control

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More resources
AnzoGraph DBEhcacheGraph Engine infoformer name: TrinityHazelcast
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