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DBMS > Amazon Redshift vs. GigaSpaces vs. Netezza vs. Oracle Coherence vs. SAP SQL Anywhere

System Properties Comparison Amazon Redshift vs. GigaSpaces vs. Netezza vs. Oracle Coherence vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonGigaSpaces  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsData warehouse and analytics appliance part of IBM PureSystemsOracles in-memory data grid solutionRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.gigaspaces.comwww.ibm.com/­products/­netezzawww.oracle.com/­java/­coherencewww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.aws.amazon.com/­redshiftdocs.gigaspaces.com/­latest/­landing.htmldocs.oracle.com/­en/­middleware/­standalone/­coherencehelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperAmazon (based on PostgreSQL)Gigaspaces TechnologiesIBMOracleSAP infoformerly Sybase
Initial release20122000200020071992
Current release15.5, September 202014.1, August 202317, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, C++, .NetJava
Server operating systemshostedLinux
macOS
Solaris
Windows
Linux infoincluded in applianceAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoXML can be used for describing objects metadatanoyes
Secondary indexesrestrictedyesyesnoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-99 for query and DML statementsyesnoyes
APIs and other access methodsJDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
OLE DB
JCache
JPA
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C++
Java
Python
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C++
Java
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyesyesnoyes, in C/C++, Java, .Net or Perl
Triggersnoyes, event driven architecturenoyes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationyes, with selectable consistency levelSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlUsers with fine-grained authorization conceptauthentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standard

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More resources
Amazon RedshiftGigaSpacesNetezza infoAlso called PureData System for Analytics by IBMOracle CoherenceSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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