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DBMS > Apache Impala vs. Microsoft Azure AI Search vs. Oracle vs. Sphinx

System Properties Comparison Apache Impala vs. Microsoft Azure AI Search vs. Oracle vs. Sphinx

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOracle  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopSearch-as-a-service for web and mobile app developmentWidely used RDBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSSearch engineRelational DBMSSearch engine
Secondary database modelsDocument storeVector DBMSDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score1244.08
Rank#1  Overall
#1  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websiteimpala.apache.orgazure.microsoft.com/­en-us/­services/­searchwww.oracle.com/­databasesphinxsearch.com
Technical documentationimpala.apache.org/­impala-docs.htmllearn.microsoft.com/­en-us/­azure/­searchdocs.oracle.com/­en/­databasesphinxsearch.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMicrosoftOracleSphinx Technologies Inc.
Initial release2013201519802001
Current release4.1.0, June 2022V123c, September 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial inforestricted free version is availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C++
Server operating systemsLinuxhostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes infoSchemaless in JSON and XML columnsyes
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.nonoyes
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infowith proprietary extensionsSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCC#
Java
JavaScript
Python
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoPL/SQL infoalso stored procedures in Java possibleno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoisolation level can be parameterizedno
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.nonoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infousing Azure authenticationfine grained access rights according to SQL-standardno

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More resources
Apache ImpalaMicrosoft Azure AI SearchOracleSphinx
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Oracle Cloud World
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