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DBMS > FeatureBase vs. Sphinx vs. Tkrzw

System Properties Comparison FeatureBase vs. Sphinx vs. Tkrzw

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonSphinx  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionReal-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 databasesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSSearch engineKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#304  Overall
#138  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Score0.09
Rank#354  Overall
#51  Key-value stores
Websitewww.featurebase.comsphinxsearch.comdbmx.net/­tkrzw
Technical documentationdocs.featurebase.comsphinxsearch.com/­docs
DeveloperMolecula and Pilosa Open Source ContributorsSphinx Technologies Inc.Mikio Hirabayashi
Initial release201720012020
Current release2022, May 20223.5.1, February 20230.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C++
Server operating systemsLinux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesnono
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 indexesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL queriesSQL-like query language (SphinxQL)no
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Proprietary protocol
Supported programming languagesJava
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
Python
Ruby
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 supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyes 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.yesyes infousing specific database classes
User concepts infoAccess controlnono

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FeatureBaseSphinxTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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