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DBMS > Hazelcast vs. Microsoft Azure Search vs. TypeDB vs. UniData,UniVerse

System Properties Comparison Hazelcast vs. Microsoft Azure Search vs. TypeDB vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMicrosoft Azure Search  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionA widely adopted in-memory data gridSearch-as-a-service for web and mobile app developmentTypeDB is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value storeSearch engineGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Multivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.66
Rank#48  Overall
#6  Key-value stores
Score6.99
Rank#57  Overall
#7  Search engines
Score0.82
Rank#194  Overall
#18  Graph DBMS
#95  Relational DBMS
Score4.19
Rank#81  Overall
#2  Multivalue DBMS
Websitehazelcast.comazure.microsoft.com/­en-us/­services/­searchvaticle.comwww.rocketsoftware.com/­products/­rocket-u2
Technical documentationhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­searchdocs.vaticle.comwww.rocketsoftware.com/­products/­rocket-u2/­documentation
DeveloperHazelcastMicrosoftGrakn Labs / VaticleRocket Software
Initial release2008201520161985
Current release4.2, March 2021V12.3, July 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoGPL Version 3, commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyesschema-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.yes infothe object must implement a serialization strategynono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenonoyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP APIconsole (shell)
gRPC protocol
Workbase (visualisation software)
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnonoyes
Triggersyes infoEventsnonoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoby using Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes infoImplicit feature of the cloud serviceMulti-source replication infoby using CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoby using Apache Kafka and Apache Zookeeperno
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 integritynonono infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACIDACID 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.yesnono
User concepts infoAccess controlRole-based access controlyes infousing Azure authenticationyes infoat REST API level; other APIs in progressAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
HazelcastMicrosoft Azure SearchTypeDB infoformerly named GraknUniData,UniVerse
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
» more
TypeDB is a database technology that serves as the knowledge base foundation to intelligent...
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
Expressive and flexible data model: The meta-schema of TypeDB allows for modelling...
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
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
AGPL and Commercial . The commercial license is priced based on cluster resources...
» more

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More resources
HazelcastMicrosoft Azure SearchTypeDB infoformerly named GraknUniData,UniVerse
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