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DBMS > Drizzle vs. Microsoft SQL Server vs. ObjectBox vs. Splice Machine vs. WakandaDB

System Properties Comparison Drizzle vs. Microsoft SQL Server vs. ObjectBox vs. Splice Machine vs. WakandaDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonObjectBox  Xexclude from comparisonSplice Machine  Xexclude from comparisonWakandaDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Microsofts flagship relational DBMSExtremely fast embedded database for small devices, IoT and MobileOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSObject oriented DBMSRelational 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
Score845.81
Rank#3  Overall
#3  Relational DBMS
Score1.42
Rank#169  Overall
#5  Object oriented DBMS
Score0.54
Rank#257  Overall
#118  Relational DBMS
Score0.06
Rank#374  Overall
#17  Object oriented DBMS
Websitewww.microsoft.com/­en-us/­sql-serverobjectbox.iosplicemachine.comwakanda.github.io
Technical documentationlearn.microsoft.com/­en-US/­sql/­sql-serverdocs.objectbox.iosplicemachine.com/­how-it-workswakanda.github.io/­doc
DeveloperDrizzle project, originally started by Brian AkerMicrosoftObjectBox LimitedSplice MachineWakanda SAS
Initial release20081989201720142012
Current release7.2.4, September 2012SQL Server 2022, November 20223.1, March 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial inforestricted free version is availableOpen Source infoApache License 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C and C++JavaC++, JavaScript
Server operating systemsFreeBSD
Linux
OS X
Linux
Windows
Android
iOS
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesnoyesno
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Proprietary native APIJDBC
Native Spark Datasource
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
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
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanoyes infoJavayes
Triggersno infohooks for callbacks inside the server can be used.yesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnoneShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, but depending on the SQL-Server Editiononline/offline synchronization between client and serverMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.yesnoyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardyesAccess rights for users, groups and roles according to SQL-standardyes
More information provided by the system vendor
DrizzleMicrosoft SQL ServerObjectBoxSplice MachineWakandaDB
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More resources
DrizzleMicrosoft SQL ServerObjectBoxSplice MachineWakandaDB
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