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DBMS > Apache Impala vs. Infobright vs. Sphinx vs. Vitess

System Properties Comparison Apache Impala vs. Infobright vs. Sphinx vs. Vitess

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonInfobright  Xexclude from comparisonSphinx  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopHigh 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 databasesScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websiteimpala.apache.orgignitetech.com/­softwarelibrary/­infobrightdbsphinxsearch.comvitess.io
Technical documentationimpala.apache.org/­impala-docs.htmlsphinxsearch.com/­docsvitess.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaIgnite Technologies Inc.; formerly InfoBright Inc.Sphinx Technologies Inc.The Linux Foundation, PlanetScale
Initial release2013200520012013
Current release4.1.0, June 20223.5.1, February 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0, commercial licenses available
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++Go
Server operating systemsLinuxLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 fieldsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language (SphinxQL)yes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary protocolADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoyes infoproprietary syntax
Triggersnononoyes
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 replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
Apache ImpalaInfobrightSphinxVitess
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