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DBMS > QuestDB vs. Sphinx

System Properties Comparison QuestDB vs. Sphinx

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Editorial information provided by DB-Engines
NameQuestDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA high performance, low latency Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#272  Overall
#21  Time Series DBMS
Score6.54
Rank#55  Overall
#6  Search engines
Websitewww.questdb.iosphinxsearch.com
Technical documentationwww.questdb.io/­docs/­documentationOverviewsphinxsearch.com/­docs
DeveloperQuestDB LimitedSphinx Technologies Inc.
Initial release20142001
Current release3.2.1, January 2020
License infoCommercial or Open SourceOpen Source infoAGPL 3.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesno
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 indexesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsHTTP RESTProprietary protocol
Supported programming languagesJavaC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes 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 controlno

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QuestDBSphinx
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