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

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

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonInfobright  Xexclude from comparisonSphinx  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringHigh 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 modelRelational DBMS
Time Series DBMS
Relational DBMSSearch engineVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websitewww.mcobject.comignitetech.com/­softwarelibrary/­infobrightdbsphinxsearch.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationwww.mcobject.com/­docs/­extremedb.htmsphinxsearch.com/­docs
DeveloperMcObjectIgnite Technologies Inc.; formerly InfoBright Inc.Sphinx Technologies Inc.
Initial release2001200520012023
Current release8.2, 20213.5.1, 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

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Implementation languageC and C++CC++C++
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
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.no infosupport of XML interfaces availablenono
Secondary indexesyesno infoKnowledge Grid Technology used insteadyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyes infowith the option: eXtremeSQLyesSQL-like query language (SphinxQL)no
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary protocolRESTful HTTP API
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
.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 proceduresyesnonono
Triggersyes infoby defining eventsnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
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 capabilitiesnoRole based access control and fine grained access rights
More information provided by the system vendor
eXtremeDBInfobrightSphinxTranswarp Hippo
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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eXtremeDBInfobrightSphinxTranswarp Hippo
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