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DBMS > Sphinx vs. Warp 10

System Properties Comparison Sphinx vs. Warp 10

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Editorial information provided by DB-Engines
NameSphinx  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionOpen source search engine for searching in data from different sources, e.g. relational databasesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSearch engineTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.56
Rank#57  Overall
#6  Search engines
Score0.10
Rank#300  Overall
#27  Time Series DBMS
Websitesphinxsearch.comwww.warp10.io
Technical documentationsphinxsearch.com/­docswww.warp10.io/­content/­02_Getting_started
DeveloperSphinx Technologies Inc.SenX
Initial release20012015
Current release3.3.1 , July 2020
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or datenoyes
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.no
Secondary indexesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query language (SphinxQL)no
APIs and other access methodsProprietary protocolHTTP API
Jupyter
WebSocket
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyes infoWarpScript
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes 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.yes
User concepts infoAccess controlnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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SphinxWarp 10
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