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DBMS > Amazon Redshift vs. Microsoft Azure Search vs. Sphinx

System Properties Comparison Amazon Redshift vs. Microsoft Azure Search vs. Sphinx

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonMicrosoft Azure Search  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsSearch-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSSearch engineSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.01
Rank#30  Overall
#17  Relational DBMS
Score6.70
Rank#56  Overall
#6  Search engines
Score6.47
Rank#59  Overall
#7  Search engines
Websiteaws.amazon.com/­redshiftazure.microsoft.com/­en-us/­services/­searchsphinxsearch.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docs
DeveloperAmazon (based on PostgreSQL)MicrosoftSphinx Technologies Inc.
Initial release201220152001
Current releaseV13.2.1, January 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesno
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 indexesrestrictedyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIProprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C#
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationno

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More resources
Amazon RedshiftMicrosoft Azure SearchSphinx
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