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DBMS > Amazon DynamoDB vs. CouchDB vs. TDengine

System Properties Comparison Amazon DynamoDB vs. CouchDB vs. TDengine

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Time Series DBMS and big data platform
Primary database modelDocument store
Key-value store
Document storeTime Series DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.57
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score10.26
Rank#45  Overall
#7  Document stores
Score2.68
Rank#109  Overall
#8  Time Series DBMS
Websiteaws.amazon.com/­dynamodbcouchdb.apache.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.couchdb.org/­en/­stabledocs.tdengine.com
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerTDEngine, previously Taos Data
Initial release201220052019
Current release3.3.3, December 20233.0, August 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache version 2Open Source infoGPL 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 languageErlangC
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nono
Secondary indexesyesyes infovia viewsno
SQL infoSupport of SQLnonoStandard SQL with extensions for time-series applications
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIJDBC
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoView functions in JavaScriptno
Triggersyes infoby integration with AWS Lambdayesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionno infoatomic operations within a single document possible
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per databaseyes
More information provided by the system vendor
Amazon DynamoDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"TDengine
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 DynamoDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"TDengine
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Recent citations in the news

AWS announces Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service
28 November 2023, AWS Blog

Simplify cross-account access control with Amazon DynamoDB using resource-based policies | Amazon Web Services
20 March 2024, AWS Blog

A new and improved AWS CDK construct for Amazon DynamoDB tables | Amazon Web Services
31 January 2024, AWS Blog

Migrating Uber's Ledger Data from DynamoDB to LedgerStore
11 April 2024, Uber

Bulk update Amazon DynamoDB tables with AWS Step Functions | Amazon Web Services
20 March 2024, AWS Blog

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14 August 2021, MakeUseOf

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TDengine and Casne Engineering Partner to Drive Innovation in Industrial IoT
5 April 2023, GlobeNewswire

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20 September 2022, SiliconANGLE News

TDengine 3.0 Introduces Cloud Native Architecture to Simplify Large-scale Time-Series Data Operations in IoT
23 August 2022, Yahoo Finance

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

New TDengine Benchmark Results Show Up to 37.0x Higher Query Performance Than InfluxDB and TimescaleDB
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