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DBMS > Hazelcast vs. ObjectBox vs. Postgres-XL vs. TigerGraph

System Properties Comparison Hazelcast vs. ObjectBox vs. Postgres-XL vs. TigerGraph

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonObjectBox  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA widely adopted in-memory data gridLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value storeObject oriented DBMS
Vector DBMS
Relational DBMSGraph DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Time Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.72
Rank#59  Overall
#6  Key-value stores
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score1.44
Rank#152  Overall
#14  Graph DBMS
Websitehazelcast.comgithub.com/­objectbox
objectbox.io
www.postgres-xl.orgwww.tigergraph.com
Technical documentationhazelcast.org/­imdg/­docsdocs.objectbox.iowww.postgres-xl.org/­documentationdocs.tigergraph.com
DeveloperHazelcastObjectBox Limited
Initial release200820172014 infosince 2012, originally named StormDB2017
Current release5.3.6, November 20234.0 (May 2024)10 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableBindings are released under Apache 2.0 infoApache License 2.0Open Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++CC++
Server operating systemsAll OS with a Java VMAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
macOS
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesyesyes
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 strategynoyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infodistributed, parallel query executionSQL-like query language (GSQL)
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary native APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnouser defined functionsyes
Triggersyes infoEventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlRole-based access controlyesfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
HazelcastObjectBoxPostgres-XLTigerGraph
News

MongoDB Realm & Device Sync alternatives – ObjectBox
17 September 2024

Local AI – what it is and why we need it
11 September 2024

First on-device Vector Database (aka Semantic Index) for iOS
24 July 2024

Retrieval Augmented Generation (RAG) with vector databases: Expanding AI Capabilities
18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HazelcastObjectBoxPostgres-XLTigerGraph
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30 April 2024, InfoWorld

TigerGraph Bolsters DB for Enterprise Graph Workloads
1 November 2023, Datanami

TigerGraph raises $105M Series C for its enterprise graph database
17 February 2021, TechCrunch

provided by Google News



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