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DBMS > GridGain vs. Netezza vs. Raima Database Manager vs. SAP SQL Anywhere

System Properties Comparison GridGain vs. Netezza vs. Raima Database Manager vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteData warehouse and analytics appliance part of IBM PureSystemsRDBMS with a small footprint, either embedded into an application or used as a database serverRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.40
Rank#268  Overall
#125  Relational DBMS
#21  Time Series DBMS
Score3.50
Rank#81  Overall
#44  Relational DBMS
Websitewww.gridgain.comwww.ibm.com/­products/­netezzaraima.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.raima.comhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperGridGain Systems, Inc.IBMRaima Inc.SAP infoformerly Sybase
Initial release2007200019841992
Current releaseGridGain 8.5.115, June 202117, July 2015
License infoCommercial or Open Sourcecommercial, open sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net, Python, REST, SQLC
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Linux infoincluded in applianceAndroid
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes
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.yesno infoExporting/Importing of XML structures possibleyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesyesyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Objective-C
PL/SQL
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationyes, in C/C++, Java, .Net or Perl
Triggersyes (cache interceptors and events)noyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationSource-replica replicationSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
Users with fine-grained authorization conceptnofine grained access rights according to SQL-standard
More information provided by the system vendor
GridGainNetezza infoAlso called PureData System for Analytics by IBMRaima Database Manager infoformerly named db_VistaSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» more
Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» more
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1 October 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GridGainNetezza infoAlso called PureData System for Analytics by IBMRaima Database Manager infoformerly named db_VistaSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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