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DBMS > GigaSpaces vs. Microsoft SQL Server vs. Realm vs. SAP HANA vs. YottaDB

System Properties Comparison GigaSpaces vs. Microsoft SQL Server vs. Realm vs. SAP HANA vs. YottaDB

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRealm  Xexclude from comparisonSAP HANA  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsMicrosofts flagship relational DBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataIn-memory, column based data store. Available as appliance or cloud serviceA fast and solid embedded Key-value store
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSDocument storeRelational DBMSKey-value store
Secondary database modelsGraph DBMS
Search engine
Document store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score44.69
Rank#22  Overall
#16  Relational DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitewww.gigaspaces.comwww.microsoft.com/­en-us/­sql-serverrealm.iowww.sap.com/­products/­hana.htmlyottadb.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmllearn.microsoft.com/­en-US/­sql/­sql-serverrealm.io/­docshelp.sap.com/­hanayottadb.com/­resources/­documentation
DeveloperGigaspaces TechnologiesMicrosoftRealm, acquired by MongoDB in May 2019SAPYottaDB, LLC
Initial release20001989201420102001
Current release15.5, September 2020SQL Server 2022, November 20222.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercial inforestricted free version is availableOpen SourcecommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono 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++, .NetC++C
Server operating systemsLinux
macOS
Solaris
Windows
Linux
Windows
Android
Backend: server-less
iOS
Windows
Appliance or cloud-serviceDocker
Linux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 metadatayesnonono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-99 for query and DML statementsyesnoyesby using the Octo plugin
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C++
Java
Python
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano inforuns within the applications so server-side scripts are unnecessarySQLScript, R
Triggersyes, event driven architectureyesyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes, but depending on the SQL-Server Editionnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesyes infoIn-Memory realmyesyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardyesyesUsers and groups based on OS-security mechanisms

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More resources
GigaSpacesMicrosoft SQL ServerRealmSAP HANAYottaDB
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