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DBMS > Dolt vs. Microsoft SQL Server vs. ObjectBox vs. XTDB

System Properties Comparison Dolt vs. Microsoft SQL Server vs. ObjectBox vs. XTDB

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonObjectBox  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaMicrosofts flagship relational DBMSLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSObject oriented DBMS
Vector DBMS
Document store
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.93
Rank#194  Overall
#90  Relational DBMS
Score807.76
Rank#3  Overall
#3  Relational DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score0.13
Rank#330  Overall
#45  Document stores
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.microsoft.com/­en-us/­sql-servergithub.com/­objectbox
objectbox.io
github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.dolthub.comlearn.microsoft.com/­en-US/­sql/­sql-serverdocs.objectbox.iowww.xtdb.com/­docs
DeveloperDoltHub IncMicrosoftObjectBox LimitedJuxt Ltd.
Initial release2018198920172019
Current releaseSQL Server 2022, November 20224.0 (May 2024)1.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial inforestricted free version is availableBindings are released under Apache 2.0 infoApache License 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
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 languageGoC++C and C++Clojure
Server operating systemsLinux
macOS
Windows
Linux
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, plus "flex" map-like typesyes, extensible-data-notation format
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.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesnolimited SQL, making use of Apache Calcite
APIs and other access methodsCLI Client
HTTP REST
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Proprietary native APIHTTP REST
JDBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Clojure
Java
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes, but depending on the SQL-Server EditionData sync between devices allowing occasional connected databases to work completely offlineyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
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, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupfine grained access rights according to SQL-standardyes
More information provided by the system vendor
DoltMicrosoft SQL ServerObjectBoxXTDB infoformerly named Crux
News

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17 September 2024

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18 June 2024

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29 May 2024

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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
DoltMicrosoft SQL ServerObjectBoxXTDB infoformerly named Crux
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Conferences, events and webinars

PASS Data Community Summit
Seattle, Washington, 4-8 November 2024

Recent citations in the news

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