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DBMS > Amazon DynamoDB vs. SurrealDB vs. TDengine

System Properties Comparison Amazon DynamoDB vs. SurrealDB vs. TDengine

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonSurrealDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA fully ACID transactional, developer-friendly, multi-model DBMSTime Series DBMS and big data platform
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score70.06
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Score2.48
Rank#107  Overall
#9  Time Series DBMS
Websiteaws.amazon.com/­dynamodbsurrealdb.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.aws.amazon.com/­dynamodbsurrealdb.com/­docsdocs.tdengine.com
DeveloperAmazonSurrealDB LtdTDEngine, previously Taos Data
Initial release201220222019
Current releasev1.5.0, May 20243.0, August 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen SourceOpen 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 languageRustC
Server operating systemshostedLinux
macOS
Windows
Linux
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesno
SQL infoSupport of SQLnoSQL-like query languageStandard SQL with extensions for time-series applications
APIs and other access methodsRESTful HTTP APIGraphQL
RESTful HTTP API
WebSocket
JDBC
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Deno
Go
JavaScript (Node.js)
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnono
Triggersyes infoby integration with AWS Lambdayes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Foreign keys infoReferential integritynono
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 regionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes, based on authentication and database rulesyes
More information provided by the system vendor
Amazon DynamoDBSurrealDBTDengine
Specific characteristicsTDengine™ 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.

Related products and services
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More resources
Amazon DynamoDBSurrealDBTDengine
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Recent citations in the news

How Samsung Cloud optimized Amazon DynamoDB costs | Amazon Web Services
19 September 2024, AWS Blog

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

Join the preview of attribute-based access control for Amazon DynamoDB | Amazon Web Services
3 September 2024, AWS Blog

Achieve near real-time analytics on Amazon DynamoDB with SingleStore
16 September 2024, AWS Blog

Faster development with Amazon DynamoDB and Amazon Q Developer
12 September 2024, AWS Blog

provided by Google News

SurrealDB 2.0 Introduces Advanced Security and Data Management Features
17 September 2024, Datanami

SurrealDB is helping developers consolidate their databases
18 June 2024, TechCrunch

Multi-model database startup SurrealDB raises $20M and announces cloud beta access
18 June 2024, SiliconANGLE News

SurrealDB Raises $20 Million to Disrupt Database Tech; Introduces New Cloud Beta Access
18 June 2024, PR Newswire

London-based SurrealDB secures over €18.6 million aiming to disrupt database technology
18 June 2024, EU-Startups

provided by Google News

TDengine Cloud released to developers
19 October 2022, App Developer Magazine

TDengine Brings Open Source Time-Series Database to Kubernetes
19 April 2023, Cloud Native Now

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

MindsDB is now the leading and fastest growing applied ML platform in the world
3 November 2022, PR Newswire

provided by Google News



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