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

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

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSAP HANA  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsDatabase as a Service offering based on Apache CouchDBMicrosofts flagship relational DBMSIn-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 modelDocument store
Object oriented DBMS infoValues are user defined objects
Document storeRelational DBMSRelational DBMSSearch engine
Secondary database modelsGraph DBMS
Search engine
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
Score2.75
Rank#104  Overall
#19  Document stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.gigaspaces.comwww.ibm.com/­products/­cloudantwww.microsoft.com/­en-us/­sql-serverwww.sap.com/­products/­hana.htmlsphinxsearch.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlcloud.ibm.com/­docs/­Cloudantlearn.microsoft.com/­en-US/­sql/­sql-serverhelp.sap.com/­hanasphinxsearch.com/­docs
DeveloperGigaspaces TechnologiesIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftSAPSphinx Technologies Inc.
Initial release20002010198920102001
Current release15.5, September 2020SQL Server 2022, November 20222.0 SPS07 (April 4, 2023), April 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercial inforestricted free version is availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnono infoalso available as a cloud based serviceno
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++, .NetErlangC++C++
Server operating systemsLinux
macOS
Solaris
Windows
hostedLinux
Windows
Appliance or cloud-serviceFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesno
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 metadatanoyesno
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-99 for query and DML statementsnoyesyesSQL-like query language (SphinxQL)
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C++
Java
Python
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesView functions (Map-Reduce) in JavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaSQLScript, Rno
Triggersyes, event driven architectureyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federationyesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
Source-replica replication
yes, but depending on the SQL-Server Editionyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesnoyesyes
User concepts infoAccess controlRole-based access controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardyesno

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More resources
GigaSpacesIBM CloudantMicrosoft SQL ServerSAP HANASphinx
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