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DBMS > DolphinDB vs. Microsoft Azure Search vs. Sphinx

System Properties Comparison DolphinDB vs. Microsoft Azure Search vs. Sphinx

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonMicrosoft Azure Search  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionTime Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languageSearch-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSSearch engineSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#202  Overall
#12  Time Series DBMS
Score6.70
Rank#56  Overall
#6  Search engines
Score6.47
Rank#59  Overall
#7  Search engines
Websitewww.dolphindb.comazure.microsoft.com/­en-us/­services/­searchsphinxsearch.com
Technical documentationwww.dolphindb.com/­helpdocs.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docs
DeveloperDolphinDB, IncMicrosoftSphinx Technologies Inc.
Initial release201820152001
Current releaseV13.2.1, January 2020
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsLinux
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesno
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 indexesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIProprietary protocol
Supported programming languagesC#
C++
Java
JavaScript
Python
R
.Net
C#
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesno
User concepts infoAccess controlAdministrators, Users, Groupsyes infousing Azure authenticationno

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More resources
DolphinDBMicrosoft Azure SearchSphinx
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