DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Amazon DynamoDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison Amazon DynamoDB vs. Microsoft Azure Synapse Analytics

Please select another system to include it in the comparison.

Our visitors often compare Amazon DynamoDB and Microsoft Azure Synapse Analytics with Amazon Redshift, Microsoft Azure Cosmos DB and Google BigQuery.

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Key-value store
Relational 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
Score14.22
Rank#37  Overall
#23  Relational DBMS
Websiteaws.amazon.com/­dynamodbazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.microsoft.com/­azure/­synapse-analytics
DeveloperAmazonMicrosoft
Initial release20122016
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.
Implementation languageC++
Server operating systemshostedhosted
Data schemeschema-freeyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLnoyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresnoTransact SQL
Triggersyes infoby integration with AWS Lambdano
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioning
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
Immediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
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 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)yes

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon DynamoDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

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

Lavender Confectionery & Bakery halves weekly planning time with Azure Synapse Analytics and Power BI
11 April 2025, Microsoft

Azure Synapse Analytics: Transforming Data Management
12 April 2025, Simplilearn.com

Doing more with less internally at Microsoft with Microsoft Azure
23 January 2025, Microsoft

Azure Data Factory and Security: Protect your data today
6 March 2025, Plain Concepts

Simply unmatched, truly limitless: Announcing Azure Synapse Analytics
4 November 2019, Microsoft Azure

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Present your product here