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DBMS > Hazelcast vs. Microsoft Azure AI Search vs. mSQL vs. Sphinx vs. SQream DB

System Properties Comparison Hazelcast vs. Microsoft Azure AI Search vs. mSQL vs. Sphinx vs. SQream DB

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSphinx  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionA widely adopted in-memory data gridSearch-as-a-service for web and mobile app developmentmSQL (Mini SQL) is a simple and lightweight RDBMSOpen source search engine for searching in data from different sources, e.g. relational databasesa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelKey-value storeSearch engineRelational DBMSSearch engineRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitehazelcast.comazure.microsoft.com/­en-us/­services/­searchhughestech.com.au/­products/­msqlsphinxsearch.comsqream.com
Technical documentationhazelcast.org/­imdg/­docslearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docsdocs.sqream.com
DeveloperHazelcastMicrosoftHughes TechnologiesSphinx Technologies Inc.SQream Technologies
Initial release20082015199420012017
Current release5.3.6, November 2023V14.4, October 20213.5.1, February 20232022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial infofree licenses can be providedOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++C++, CUDA, Haskell, Java, Scala
Server operating systemsAll OS with a Java VMhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes, ANSI Standard SQL Types
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 infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query languagenoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (SphinxQL)yes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Proprietary protocol.Net
JDBC
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
Java
JavaScript
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnononouser defined functions in Python
Triggersyes infoEventsnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenoneSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes infoImplicit feature of the cloud servicenonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
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 authenticationnono

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More resources
HazelcastMicrosoft Azure AI SearchmSQL infoMini SQLSphinxSQream DB
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