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DBMS > GridGain vs. Microsoft SQL Server vs. ObjectBox vs. WakandaDB

System Properties Comparison GridGain vs. Microsoft SQL Server vs. ObjectBox vs. WakandaDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonObjectBox  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteMicrosofts flagship relational DBMSExtremely fast embedded database for small devices, IoT and MobileWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value store
Relational DBMS
Relational DBMSObject oriented DBMSObject oriented DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.gridgain.comwww.microsoft.com/­en-us/­sql-serverobjectbox.iowakanda.github.io
Technical documentationwww.gridgain.com/­docs/­index.htmllearn.microsoft.com/­en-US/­sql/­sql-serverdocs.objectbox.iowakanda.github.io/­doc
DeveloperGridGain Systems, Inc.MicrosoftObjectBox LimitedWakanda SAS
Initial release2007198920172012
Current releaseGridGain 8.5.1SQL Server 2022, November 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoApache License 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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 and C++C++, JavaScript
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Windows
Android
iOS
Linux
macOS
Windows
Linux
OS X
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.yesyesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Proprietary native APIRESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
JavaScript
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanoyes
Triggersyes (cache interceptors and events)yesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes, but depending on the SQL-Server Editiononline/offline synchronization between client and servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardyesyes
More information provided by the system vendor
GridGainMicrosoft SQL ServerObjectBoxWakandaDB
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