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DBMS > Datomic vs. Dolt vs. Microsoft SQL Server vs. RisingWave

System Properties Comparison Datomic vs. Dolt vs. Microsoft SQL Server vs. RisingWave

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDolt  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA MySQL compatible DBMS with Git-like versioning of data and schemaMicrosofts flagship relational DBMSA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitewww.datomic.comgithub.com/­dolthub/­dolt
www.dolthub.com
www.microsoft.com/­en-us/­sql-serverwww.risingwave.com/­database
Technical documentationdocs.datomic.comdocs.dolthub.comlearn.microsoft.com/­en-US/­sql/­sql-serverdocs.risingwave.com/­docs/­current/­intro
DeveloperCognitectDoltHub IncMicrosoftRisingWave Labs
Initial release2012201819892022
Current release1.0.7075, December 2023SQL Server 2022, November 20221.2, September 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0commercial inforestricted free version is availableOpen Source infoApache Version 2.0
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, ClojureGoC++Rust
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
Linux
Windows
Docker
Linux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesStandard SQL-types and JSON
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsRESTful HTTP APICLI Client
HTTP REST
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
PostgreSQL wire protocol
Supported programming languagesClojure
Java
Ada
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
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infocurrently in alpha releaseTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaUDFs in Python or Java
TriggersBy using transaction functionsyesyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersA 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 Edition
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 integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnoOnly one user is configurable, and must be specified in the config file at startupfine grained access rights according to SQL-standardUsers and Roles

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More resources
DatomicDoltMicrosoft SQL ServerRisingWave
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