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DBMS > Microsoft Azure AI Search vs. OpenMLDB vs. Sphinx vs. ToroDB vs. Warp 10

System Properties Comparison Microsoft Azure AI Search vs. OpenMLDB vs. Sphinx vs. ToroDB vs. Warp 10

Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSphinx  Xexclude from comparisonToroDB  Xexclude from comparisonWarp 10  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSearch-as-a-service for web and mobile app developmentAn 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 databasesA MongoDB-compatible JSON document store, built on top of PostgreSQLTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSearch engineTime Series DBMSSearch engineDocument storeTime Series DBMS
Secondary database modelsVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.59
Rank#63  Overall
#7  Search engines
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchopenmldb.aisphinxsearch.comgithub.com/­torodb/­serverwww.warp10.io
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchopenmldb.ai/­docs/­zh/­mainsphinxsearch.com/­docswww.warp10.io/­content/­02_Getting_started
DeveloperMicrosoft4 Paradigm Inc.Sphinx Technologies Inc.8KdataSenX
Initial release20152020200120162015
Current releaseV12024-2 February 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL-V3Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, ScalaC++JavaJava
Server operating systemshostedLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
All OS with a Java 7 VMLinux
OS X
Windows
Data schemeyesFixed schemayesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infostring, integer, double, boolean, date, object_idyes
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.nononono
Secondary indexesyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoyesSQL-like query language (SphinxQL)no
APIs and other access methodsRESTful HTTP APIJDBC
SQLAlchemy
Proprietary protocolHTTP API
Jupyter
WebSocket
Supported programming languagesC#
Java
JavaScript
Python
C++
Go
Java
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnononoyes infoWarpScript
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationnoneSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlyes infousing Azure authenticationfine grained access rights according to SQL-standardnoAccess rights for users and rolesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Microsoft Azure AI SearchOpenMLDBSphinxToroDBWarp 10
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