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DBMS > ClickHouse vs. FeatureBase vs. Sphinx

System Properties Comparison ClickHouse vs. FeatureBase vs. Sphinx

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonFeatureBase  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSSearch engine
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.97
Rank#44  Overall
#28  Relational DBMS
Score0.42
Rank#316  Overall
#141  Relational DBMS
Score6.13
Rank#72  Overall
#8  Search engines
Websiteclickhouse.techwww.molecula.comsphinxsearch.com
Technical documentationclickhouse.tech/­docsdocs.molecula.cloudsphinxsearch.com/­docs
DeveloperClickhouse Inc.Molecula and Pilosa Open Source ContributorsSphinx Technologies Inc.
Initial release201620172001
Current releasev23.4.1.1943-stable, April 20232022, May 20223.4.1, July 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoC++
Server operating systemsFreeBSD
Linux
macOS
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
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 indexesyes, when using the MergeTree enginenoyes infofull-text index on all search fields
SQL infoSupport of SQLClose to ANSI SQLSQL queriesSQL-like query language (SphinxQL)
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
gRPC
JDBC
Kafka Connector
ODBC
Proprietary protocol
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Scala info3rd party library
Java
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyes 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.yesyes
User concepts infoAccess controlAccess rights for users and rolesno

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