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DBMS > Coveo vs. Ignite vs. Infobright vs. Sphinx

System Properties Comparison Coveo vs. Ignite vs. Infobright vs. Sphinx

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonIgnite  Xexclude from comparisonInfobright  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.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 databases
Primary database modelSearch engineKey-value store
Relational DBMS
Relational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.coveo.comignite.apache.orgignitetech.com/­softwarelibrary/­infobrightdbsphinxsearch.com
Technical documentationdocs.coveo.comapacheignite.readme.io/­docssphinxsearch.com/­docs
DeveloperCoveoApache Software FoundationIgnite Technologies Inc.; formerly InfoBright Inc.Sphinx Technologies Inc.
Initial release2012201520052001
Current releaseApache Ignite 2.63.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetCC++
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesno infoKnowledge Grid Technology used insteadyes infofull-text index on all search fields
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyesSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
Java
JavaScript
Python
C#
C++
Java
PHP
Python
Ruby
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
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)nono
Triggersyesyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesyesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
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 datayesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlgranular access controls, API key management, content filtersSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesno

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More resources
CoveoIgniteInfobrightSphinx
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