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DBMS > GigaSpaces vs. GridDB vs. IBM Cloudant vs. Microsoft SQL Server vs. SAP HANA

System Properties Comparison GigaSpaces vs. GridDB vs. IBM Cloudant vs. Microsoft SQL Server vs. SAP HANA

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonGridDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsScalable in-memory time series database optimized for IoT and Big DataDatabase as a Service offering based on Apache CouchDBMicrosofts flagship relational DBMSIn-memory, column based data store. Available as appliance or cloud service
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Key-value store
Relational DBMS
Document store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Websitewww.gigaspaces.comgriddb.netwww.ibm.com/­products/­cloudantwww.microsoft.com/­en-us/­sql-serverwww.sap.com/­products/­hana.html
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.griddb.netcloud.ibm.com/­docs/­Cloudantlearn.microsoft.com/­en-US/­sql/­sql-serverhelp.sap.com/­hana
DeveloperGigaspaces TechnologiesToshiba CorporationIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftSAP
Initial release20002013201019892010
Current release15.5, September 20205.1, August 2022SQL Server 2022, November 20222.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJava, C++, .NetC++ErlangC++
Server operating systemsLinux
macOS
Solaris
Windows
LinuxhostedLinux
Windows
Appliance or cloud-service
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampnoyesyes
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.no infoXML can be used for describing objects metadatanonoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL92, SQL-like TQL (Toshiba Query Language)noyesyes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Supported programming languages.Net
C++
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesnoView functions (Map-Reduce) in JavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaSQLScript, R
Triggersyes, event driven architectureyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federationyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationMulti-source replication
Source-replica replication
yes, but depending on the SQL-Server Editionyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate consistency within container, eventual consistency across containersEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelno infoatomic operations within a document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesyes
User concepts infoAccess controlRole-based access controlAccess rights for users can be defined per databaseAccess rights for users can be defined per databasefine grained access rights according to SQL-standardyes
More information provided by the system vendor
GigaSpacesGridDBIBM CloudantMicrosoft SQL ServerSAP HANA
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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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
GigaSpacesGridDBIBM CloudantMicrosoft SQL ServerSAP HANA
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