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DBMS > Amazon DynamoDB vs. SvectorDB

System Properties Comparison Amazon DynamoDB vs. SvectorDB

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Our visitors often compare Amazon DynamoDB and SvectorDB with Databricks, DuckDB and Apache Spark (SQL).

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonSvectorDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudServerless cloud-native vector database infoServerless cloud-native vector database
Primary database modelDocument store
Key-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score79.30
Rank#15  Overall
#3  Document stores
#2  Key-value stores
Score0.00
Rank#385  Overall
#21  Vector DBMS
Websiteaws.amazon.com/­dynamodbsvectordb.com
Technical documentationdocs.aws.amazon.com/­dynamodbwww.svectordb.com/­docs
DeveloperAmazonSvectorDB
Initial release20122023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial
Cloud-based only infoOnly available as a cloud serviceyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedserver-less
Data schemeschema-free
Typing infopredefined data types such as float or dateyesstring, double, vector
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 indexesyes
SQL infoSupport of SQLno
APIs and other access methodsRESTful HTTP APIOpenAPI 3.0, RESTful HTTP API, Python SDK, JavaScript / TypeScript SDK
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresno
Triggersyes infoby integration with AWS Lambda
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integrityno
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 region
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

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More resources
Amazon DynamoDBSvectorDB
DB-Engines blog posts

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12 December 2019, Paul Andlinger

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7 February 2017, Matthias Gelbmann

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2 October 2015, Paul Andlinger

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Recent citations in the news

Amazon DynamoDB data modeling for Multi-Tenancy – Part 2
16 May 2025, Amazon Web Services

Ingest CSV data to Amazon DynamoDB using AWS Lambda
12 May 2025, Amazon Web Services

Using Amazon S3 Express One Zone as a caching layer for S3 Standard | Amazon Web Services
16 May 2025, Amazon Web Services

Announcing the end of support for AWS DynamoDB Session State Provider
7 May 2025, Amazon Web Services

Announcing configurable point-in-time recovery periods for Amazon DynamoDB
7 January 2025, Amazon Web Services

provided by Google News



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