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

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

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonInfobright  Xexclude from comparisonSphinx  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendOpen 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 modelDocument store
Key-value store
Relational DBMSSearch engineVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websiteignitetech.com/­softwarelibrary/­infobrightdbsphinxsearch.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationsphinxsearch.com/­docs
DeveloperFatCloudIgnite Technologies Inc.; formerly InfoBright Inc.Sphinx Technologies Inc.
Initial release2012200520012023
Current release3.5.1, February 20231.0, May 2023
License infoCommercial or Open Sourcecommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open 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 languageC#CC++C++
Server operating systemsWindowsLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-freeyesyes
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.nono
Secondary indexesyesno infoKnowledge Grid Technology used insteadyes infofull-text index on all search fieldsno
SQL infoSupport of SQLno infoVia inetgration in SQL ServeryesSQL-like query language (SphinxQL)no
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
ODBC
Proprietary protocolRESTful HTTP API
Supported programming languagesC#.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
Python
Server-side scripts infoStored proceduresyes infovia applicationsnonono
Triggersyes infovia applicationsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
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.yesyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesnoRole based access control and fine grained access rights

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More resources
FatDBInfobrightSphinxTranswarp Hippo
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