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DBMS > Amazon DocumentDB vs. Microsoft SQL Server vs. Riak TS vs. TDengine

System Properties Comparison Amazon DocumentDB vs. Microsoft SQL Server vs. Riak TS vs. TDengine

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRiak TS  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceMicrosofts flagship relational DBMSRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVTime Series DBMS and big data platform
Primary database modelDocument storeRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websiteaws.amazon.com/­documentdbwww.microsoft.com/­en-us/­sql-servergithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationaws.amazon.com/­documentdb/­resourceslearn.microsoft.com/­en-US/­sql/­sql-serverwww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.tdengine.com
DeveloperMicrosoftOpen Source, formerly Basho TechnologiesTDEngine, previously Taos Data
Initial release2019198920152019
Current releaseSQL Server 2022, November 20223.0.0, September 20223.0, August 2022
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen SourceOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageC++ErlangC
Server operating systemshostedLinux
Windows
Linux
OS X
Linux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesnono
Secondary indexesyesyesrestrictedno
SQL infoSupport of SQLnoyesyes, limitedStandard SQL with extensions for time-series applications
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP API
Native Erlang Interface
JDBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaErlangno
Triggersnoyesyes infopre-commit hooks and post-commit hooksyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes, but depending on the SQL-Server Editionselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesno infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardnoyes
More information provided by the system vendor
Amazon DocumentDBMicrosoft SQL ServerRiak TSTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon DocumentDBMicrosoft SQL ServerRiak TSTDengine
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