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DBMS > Alibaba Cloud MaxCompute vs. Datomic vs. Dolt vs. Microsoft Azure Synapse Analytics vs. NSDb

System Properties Comparison Alibaba Cloud MaxCompute vs. Datomic vs. Dolt vs. Microsoft Azure Synapse Analytics vs. NSDb

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonDatomic  Xexclude from comparisonDolt  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingDatomic 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 modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitewww.alibabacloud.com/­product/­maxcomputewww.datomic.comgithub.com/­dolthub/­dolt
www.dolthub.com
azure.microsoft.com/­services/­synapse-analyticsnsdb.io
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.datomic.comdocs.dolthub.comdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecture
DeveloperAlibabaCognitectDoltHub IncMicrosoft
Initial release20162012201820162017
Current release1.0.7075, December 2023
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 serviceyesnonoyesno
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 systemshostedAll OS with a Java VMLinux
macOS
Windows
hostedLinux
macOS
Data schemeyesyesyesyes
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 SQLSQL-like query languagenoyesyesSQL-like query language
APIs and other access methodsFluentd
Flume
MaxCompute Console
RESTful HTTP APICLI Client
HTTP REST
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
Supported programming languagesJavaClojure
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 proceduresuser defined functions infoin Javayes infoTransaction Functionsyes infocurrently in alpha releaseTransact SQLno
TriggersnoBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersnoneSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenone 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 methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno 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 datanoACIDACIDACIDno
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 controlAccess rights for users and rolesnoOnly one user is configurable, and must be specified in the config file at startupyes

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More resources
Alibaba Cloud MaxComputeDatomicDoltMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDb
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