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DBMS > DataFS vs. Datomic vs. Dolt vs. Microsoft Azure Synapse Analytics vs. NSDb

System Properties Comparison DataFS vs. Datomic vs. Dolt vs. Microsoft Azure Synapse Analytics vs. NSDb

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonDatomic  Xexclude from comparisonDolt  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Datomic 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 schemaElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#369  Overall
#18  Object oriented DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.93
Rank#194  Overall
#90  Relational DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitenewdatabase.comwww.datomic.comgithub.com/­dolthub/­dolt
www.dolthub.com
azure.microsoft.com/­services/­synapse-analyticsnsdb.io
Technical documentationdev.mobiland.com/­Overview.xspdocs.datomic.comdocs.dolthub.comdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecture
DeveloperMobiland AGCognitectDoltHub IncMicrosoft
Initial release20182012201820162017
Current release1.1.263, October 20221.0.7180, July 2024
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureGoC++Java, Scala
Server operating systemsWindowsAll OS with a Java VMLinux
macOS
Windows
hostedLinux
macOS
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes: int, bigint, decimal, string
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.nonononono
Secondary indexesnoyesyesyesall fields are automatically indexed
SQL infoSupport of SQLnonoyesyesSQL-like query language
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APICLI Client
HTTP REST
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
Supported programming languages.Net
C
C#
C++
VB.Net
Clojure
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
PHP
Java
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infocurrently in alpha releaseTransact SQLno
Triggersno, except callback-events from server when changes happenedBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnone infoBut extensive use of caching in the application peersnoneSharding, horizontal partitioningSharding
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
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and development
User concepts infoAccess controlWindows-ProfilenoOnly one user is configurable, and must be specified in the config file at startupyes

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More resources
DataFSDatomicDoltMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDb
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