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DBMS > Infobright vs. Kdb vs. Sphinx vs. Transwarp Hippo

System Properties Comparison Infobright vs. Kdb vs. Sphinx vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameInfobright  Xexclude from comparisonKdb  Xexclude from comparisonSphinx  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendHigh performance Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Search engineVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websiteignitetech.com/­softwarelibrary/­infobrightdbkx.comsphinxsearch.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationcode.kx.comsphinxsearch.com/­docs
DeveloperIgnite Technologies Inc.; formerly InfoBright Inc.Kx Systems, a division of First Derivatives plcSphinx Technologies Inc.
Initial release20052000 infokdb was released 2000, kdb+ in 200320012023
Current release3.6, May 20183.5.1, February 20231.0, May 2023
License infoCommercial or Open Sourcecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial infofree 32-bit versionOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCqC++C++
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesnoVector, Numeric and String
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.noyesno
Secondary indexesno infoKnowledge Grid Technology used insteadyes infotable attribute 'grouped'yes infofull-text index on all search fieldsno
SQL infoSupport of SQLyesSQL-like query language (q)SQL-like query language (SphinxQL)no
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Proprietary protocolRESTful HTTP API
Supported programming languages.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
Python
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnoyes infowith viewsnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesrights management via user accountsnoRole based access control and fine grained access rights
More information provided by the system vendor
InfobrightKdbSphinxTranswarp Hippo
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
InfobrightKdbSphinxTranswarp Hippo
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