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DBMS > Infobright vs. Kinetica vs. Sphinx vs. Yaacomo vs. YDB

System Properties Comparison Infobright vs. Kinetica vs. Sphinx vs. Yaacomo vs. YDB

Editorial information provided by DB-Engines
NameInfobright  Xexclude from comparisonKinetica  Xexclude from comparisonSphinx  Xexclude from comparisonYaacomo  Xexclude from comparisonYDB  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendFully vectorized database across both GPUs and CPUsOpen source search engine for searching in data from different sources, e.g. relational databasesOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computingA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websiteignitetech.com/­softwarelibrary/­infobrightdbwww.kinetica.comsphinxsearch.comyaacomo.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.kinetica.comsphinxsearch.com/­docsydb.tech/­en/­docs
DeveloperIgnite Technologies Inc.; formerly InfoBright Inc.KineticaSphinx Technologies Inc.Q2WEB GmbHYandex
Initial release20052012200120092019
Current release7.1, August 20213.5.1, February 2023
License infoCommercial or Open Sourcecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialOpen Source infoGPL version 2, commercial licence availablecommercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC, C++C++
Server operating systemsLinux
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Android
Linux
Windows
Linux
Data schemeyesyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononono
Secondary indexesno infoKnowledge Grid Technology used insteadyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query language (SphinxQL)yesSQL-like query language (YQL)
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Proprietary protocolJDBC
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneSource-replica replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesAccess rights for users and roles on table levelnofine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
InfobrightKineticaSphinxYaacomoYDB
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