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DBMS > Amazon Redshift vs. Infobright vs. Sadas Engine vs. searchxml

System Properties Comparison Amazon Redshift vs. Infobright vs. Sadas Engine vs. searchxml

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonInfobright  Xexclude from comparisonSadas Engine  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSRelational DBMSRelational DBMSNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websiteaws.amazon.com/­redshiftignitetech.com/­softwarelibrary/­infobrightdbwww.sadasengine.comwww.searchxml.net/­category/­products
Technical documentationdocs.aws.amazon.com/­redshiftwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwww.searchxml.net/­support/­handouts
DeveloperAmazon (based on PostgreSQL)Ignite Technologies Inc.; formerly InfoBright Inc.SADAS s.r.l.informationpartners gmbh
Initial release2012200520062015
Current release8.01.0
License infoCommercial or Open Sourcecommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCC++C++
Server operating systemshostedLinux
Windows
AIX
Linux
Windows
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes
Secondary indexesrestrictedno infoKnowledge Grid Technology used insteadyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesyesno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
WebDAV
XQuery
XSLT
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
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnonoyes infoon the application server
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate 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 dataACIDACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesAccess rights for users, groups and roles according to SQL-standardDomain, group and role-based access control at the document level and for application services

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More resources
Amazon RedshiftInfobrightSadas Enginesearchxml
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