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DBMS > Amazon Redshift vs. Apache Phoenix vs. SAP HANA vs. Sphinx

System Properties Comparison Amazon Redshift vs. Apache Phoenix vs. SAP HANA vs. Sphinx

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Phoenix  Xexclude from comparisonSAP HANA  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsA scale-out RDBMS with evolutionary schema built on Apache HBaseIn-memory, column based data store. Available as appliance or cloud serviceOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.63
Rank#33  Overall
#20  Relational DBMS
Score2.10
Rank#131  Overall
#63  Relational DBMS
Score45.49
Rank#22  Overall
#16  Relational DBMS
Score6.06
Rank#61  Overall
#6  Search engines
Websiteaws.amazon.com/­redshiftphoenix.apache.orgwww.sap.com/­products/­hana.htmlsphinxsearch.com
Technical documentationdocs.aws.amazon.com/­redshiftphoenix.apache.orghelp.sap.com/­hanasphinxsearch.com/­docs
DeveloperAmazon (based on PostgreSQL)Apache Software FoundationSAPSphinx Technologies Inc.
Initial release2012201420102001
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.0 SPS07 (April 4, 2023), April 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++
Server operating systemshostedLinux
Unix
Windows
Appliance or cloud-serviceFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesyes
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.nonono
Secondary indexesrestrictedyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesyesSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
JDBCJDBC
ODBC
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functionsSQLScript, Rno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyesno

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More resources
Amazon RedshiftApache PhoenixSAP HANASphinx
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