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DBMS > Hazelcast vs. Microsoft Azure AI Search vs. mSQL vs. OpenMLDB vs. Sphinx

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

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSphinx  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 RDBMSAn open-source machine learning database that provides a feature platform for training and inferenceOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeSearch engineRelational DBMSTime Series DBMSSearch engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12Vector DBMSRelational 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
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitehazelcast.comazure.microsoft.com/­en-us/­services/­searchhughestech.com.au/­products/­msqlopenmldb.aisphinxsearch.com
Technical documentationhazelcast.org/­imdg/­docslearn.microsoft.com/­en-us/­azure/­searchopenmldb.ai/­docs/­zh/­mainsphinxsearch.com/­docs
DeveloperHazelcastMicrosoftHughes Technologies4 Paradigm Inc.Sphinx Technologies Inc.
Initial release20082015199420202001
Current release5.3.6, November 2023V14.4, October 20212024-2 February 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial infofree licenses can be providedOpen SourceOpen Source infoGPL version 2, commercial licence available
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++, Java, ScalaC++
Server operating systemsAll OS with a Java VMhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesyesyesno
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 strategynonono
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyesSQL-like query language (SphinxQL)
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
JDBC
SQLAlchemy
Proprietary protocol
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++
Go
Java
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnononono
Triggersyes infoEventsnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenonehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes infoImplicit feature of the cloud servicenoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
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 commitednononono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlRole-based access controlyes infousing Azure authenticationnofine grained access rights according to SQL-standardno

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More resources
HazelcastMicrosoft Azure AI SearchmSQL infoMini SQLOpenMLDBSphinx
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