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DBMS > AgensGraph vs. Hazelcast vs. Microsoft Azure Table Storage vs. UniData,UniVerse

System Properties Comparison AgensGraph vs. Hazelcast vs. Microsoft Azure Table Storage vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA widely adopted in-memory data gridA Wide Column Store for rapid development using massive semi-structured datasetsMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelGraph DBMS
Relational DBMS
Key-value storeWide column storeMultivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score6.87
Rank#55  Overall
#6  Key-value stores
Score4.92
Rank#73  Overall
#6  Wide column stores
Score3.47
Rank#93  Overall
#2  Multivalue DBMS
Websitebitnine.net/­agensgraphhazelcast.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationbitnine.net/­documentationhazelcast.org/­imdg/­docsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperBitnine Global Inc.HazelcastMicrosoftRocket Software
Initial release2016200820121985
Current release2.1, December 20185.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhostedAIX
HP-UX
Linux
Solaris
Windows
Data schemedepending on used data modelschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesoptional
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 strategyno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesSQL-like query languagenoyes
APIs and other access methodsCypher Query Language
JDBC
JCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP APIJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
Java
JavaScript
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyesyes infoEvent Listeners, Executor Servicesnoyes
Triggersnoyes infoEventsnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoReplicated Mapyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedoptimistic lockingACID infoconfigurable
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlAccess rights based on private key authentication or shared access signaturesAccess rights according to SQL-standard and operating system based

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More resources
AgensGraphHazelcastMicrosoft Azure Table StorageUniData,UniVerse
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