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DBMS > Microsoft Azure AI Search vs. PieCloudDB vs. Riak TS vs. Sphinx

System Properties Comparison Microsoft Azure AI Search vs. PieCloudDB vs. Riak TS vs. Sphinx

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonPieCloudDB  Xexclude from comparisonRiak TS  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentA cloud-native analytic database platform with new technologoy for elastic MPPRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineRelational DBMSTime Series DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.52
Rank#59  Overall
#6  Search engines
Score0.32
Rank#289  Overall
#133  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websiteazure.microsoft.com/­en-us/­services/­searchwww.openpie.comsphinxsearch.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchwww.tiot.jp/­riak-docs/­riak/­ts/­latestsphinxsearch.com/­docs
DeveloperMicrosoftOpenPieOpen Source, formerly Basho TechnologiesSphinx Technologies Inc.
Initial release201520152001
Current releaseV12.1, January 20233.0.0, September 20223.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++
Server operating systemshostedhostedLinux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnono
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.nono
Secondary indexesyesyesrestrictedyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesyes, limitedSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APICLI Client
JDBC
ODBC
HTTP API
Native Erlang Interface
Proprietary protocol
Supported programming languagesC#
Java
JavaScript
Python
Java
PL/SQL
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnouser defined functionsErlangno
Triggersnonoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyesShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.no
User concepts infoAccess controlyes infousing Azure authenticationUser Roles and pluggable authentication with full SQL Standardnono
More information provided by the system vendor
Microsoft Azure AI SearchPieCloudDBRiak TSSphinx
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Microsoft Azure AI SearchPieCloudDBRiak TSSphinx
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