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DBMS > Amazon Redshift vs. Dolt vs. Microsoft Azure Cosmos DB vs. NSDb

System Properties Comparison Amazon Redshift vs. Dolt vs. Microsoft Azure Cosmos DB vs. NSDb

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDolt  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsA MySQL compatible DBMS with Git-like versioning of data and schemaGlobally distributed, horizontally scalable, multi-model database serviceScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.37
Rank#32  Overall
#18  Relational DBMS
Score0.78
Rank#199  Overall
#97  Relational DBMS
Score39.71
Rank#26  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.00
Rank#360  Overall
#37  Time Series DBMS
Websiteaws.amazon.com/­redshiftgithub.com/­dolthub/­dolt
www.dolthub.com
azure.microsoft.com/­services/­cosmos-dbnsdb.io
Technical documentationdocs.aws.amazon.com/­redshiftdocs.dolthub.comdocs.microsoft.com/­azure/­cosmos-dbnsdb.io/­Architecture
DeveloperAmazon (based on PostgreSQL)DoltHub IncMicrosoft
Initial release2012201820142017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoJava, Scala
Server operating systemshostedLinux
macOS
Windows
hostedLinux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesyes: 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.nonono
Secondary indexesrestrictedyesyes infoAll properties auto-indexed by defaultall fields are automatically indexed
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesSQL-like query languageSQL-like query language
APIs and other access methodsJDBC
ODBC
CLI Client
HTTP REST
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
gRPC
HTTP REST
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Java
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infocurrently in alpha releaseJavaScriptno
TriggersnoyesJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDMulti-item ACID transactions with snapshot isolation within a partitionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardOnly one user is configurable, and must be specified in the config file at startupAccess rights can be defined down to the item level

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More resources
Amazon RedshiftDoltMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBNSDb
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