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DBMS > Amazon Redshift vs. DolphinDB vs. GeoMesa vs. Microsoft SQL Server vs. Tkrzw

System Properties Comparison Amazon Redshift vs. DolphinDB vs. GeoMesa vs. Microsoft SQL Server vs. Tkrzw

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDolphinDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Microsofts flagship relational DBMSA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSTime Series DBMSSpatial DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websiteaws.amazon.com/­redshiftwww.dolphindb.comwww.geomesa.orgwww.microsoft.com/­en-us/­sql-serverdbmx.net/­tkrzw
Technical documentationdocs.aws.amazon.com/­redshiftdocs.dolphindb.cn/­en/­help200/­index.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmllearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperAmazon (based on PostgreSQL)DolphinDB, IncCCRi and othersMicrosoftMikio Hirabayashi
Initial release20122018201419892020
Current releasev2.00.4, January 20225.0.0, May 2024SQL Server 2022, November 20220.9.3, August 2020
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source infoApache License 2.0commercial inforestricted free version is availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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 languageCC++ScalaC++C++
Server operating systemshostedLinux
Windows
Linux
Windows
Linux
macOS
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononoyesno
Secondary indexesrestrictedyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like query languagenoyesno
APIs and other access methodsJDBC
ODBC
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PythonyesnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningdepending on storage layertables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesdepending on storage layeryes, but depending on the SQL-Server Editionnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesdepending on storage layeryesyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardAdministrators, Users, Groupsyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardno

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More resources
Amazon RedshiftDolphinDBGeoMesaMicrosoft SQL ServerTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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