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DBMS > Amazon Aurora vs. ReductStore vs. TDengine

System Properties Comparison Amazon Aurora vs. ReductStore vs. TDengine

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonReductStore  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Time Series DBMS and big data platform
Primary database modelRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score2.48
Rank#107  Overall
#9  Time Series DBMS
Websiteaws.amazon.com/­rds/­auroragithub.com/­reductstore
www.reduct.store
github.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.reduct.store/­docsdocs.tdengine.com
DeveloperAmazonReductStore LLCTDEngine, previously Taos Data
Initial release201520232019
Current release1.9, March 20243.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoBusiness Source License 1.1Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, RustC
Server operating systemshostedDocker
Linux
macOS
Windows
Linux
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.yesno
Secondary indexesyesno
SQL infoSupport of SQLyesStandard SQL with extensions for time-series applications
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP APIJDBC
RESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
JavaScript (Node.js)
Python
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesno
Triggersyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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-standardyes
More information provided by the system vendor
Amazon AuroraReductStoreTDengine
Specific characteristicsTDengineā„¢ is a time-series database designed to help traditional industries overcome...
» more
Competitive advantagesHigh Performance at Any Scale: With its distributed scalable architecture that grows...
» more
Typical application scenariosTDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» more
Market metricsTDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» 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 AuroraReductStoreTDengine
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Recent citations in the news

Replace Amazon QLDB with Amazon Aurora PostgreSQL for audit use cases
18 July 2024, AWS Blog

Build generative AI applications with Amazon Aurora and Amazon Bedrock Knowledge Bases
2 February 2024, AWS Blog

Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda
14 May 2024, AWS Blog

Amazon Aurora MySQL version 2 (with MySQL 5.7 compatibility) to version 3 (with MySQL 8.0 compatibility) upgrade checklist, Part 1
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How Gen replayed a database workload from Oracle to Amazon Aurora
9 July 2024, AWS Blog

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TDengine Cloud released to developers
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19 April 2023, Cloud Native Now

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10 February 2022, hackernoon.com

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3 November 2022, PR Newswire

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