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

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

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDolt  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonVoltDB  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 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 KubernetesDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score1.38
Rank#156  Overall
#72  Relational DBMS
Websitewww.datomic.comgithub.com/­dolthub/­dolt
www.dolthub.com
azure.microsoft.com/­services/­synapse-analyticsnsdb.iowww.voltdb.com
Technical documentationdocs.datomic.comdocs.dolthub.comdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturedocs.voltdb.com
DeveloperCognitectDoltHub IncMicrosoftVoltDB Inc.
Initial release20122018201620172010
Current release1.0.7180, July 202411.3, April 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureGoC++Java, ScalaJava, C++
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
hostedLinux
macOS
Linux
OS X infofor development
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringyes
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.nononono
Secondary indexesyesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLnoyesyesSQL-like query languageyes infoonly a subset of SQL 99
APIs and other access methodsRESTful HTTP APICLI Client
HTTP REST
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
Java API
JDBC
RESTful HTTP/JSON API
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#
Java
PHP
Java
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infocurrently in alpha releaseTransact SQLnoJava
TriggersBy using transaction functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding, horizontal partitioningShardingSharding
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.yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesUsing Apache Luceneyes infoSnapshots and command logging
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 development
User concepts infoAccess controlnoOnly one user is configurable, and must be specified in the config file at startupyesUsers and roles with access to stored procedures

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More resources
DatomicDoltMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbVoltDB
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