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DBMS > Hazelcast vs. TinkerGraph

System Properties Comparison Hazelcast vs. TinkerGraph

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionA widely adopted in-memory data gridA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-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
Score9.81
Rank#47  Overall
#6  Key-value stores
Score0.18
Rank#292  Overall
#27  Graph DBMS
Websitehazelcast.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationhazelcast.org/­imdg/­docs
DeveloperHazelcast
Initial release20082009
Current release4.2, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsAll OS with a Java VM
Data schemeschema-freeschema-free
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.yes infothe object must implement a serialization strategyno
Secondary indexesyesno
SQL infoSupport of SQLSQL-like query languageno
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
TinkerPop 3
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Groovy
Java
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesno
Triggersyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithmnone
Foreign keys infoReferential integritynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesno
Durability infoSupport for making data persistentyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlRole-based access controlno
More information provided by the system vendor
HazelcastTinkerGraph
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
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Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
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Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
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Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more

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HazelcastTinkerGraph
Recent citations in the news

Hazelcast Platform to Bring Historical, Real-Time Data Together
24 August 2021, Datanami

Hazelcast CEO on the rise of real-time translytics
28 August 2021, VentureBeat

Video: 10 Minute IT Jams - Who is Hazelcast?
15 September 2021, IT Brief Australia

Hazelcast Announces Integrated Real-Time Applications Platform
16 July 2021, Forbes

Hazelcast unveils real-time intelligent app platform for analytics
15 July 2021, VentureBeat

provided by Google News

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Hazelcast, San Mateo, CA

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