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DBMS > Amazon DynamoDB vs. Databricks

System Properties Comparison Amazon DynamoDB vs. Databricks

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Our visitors often compare Amazon DynamoDB and Databricks with PostgreSQL, Amazon Redshift and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score72.39
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score86.46
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.databricks.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.databricks.com
DeveloperAmazonDatabricks
Initial release20122013
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 systemshostedhosted
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes
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.yes
Secondary indexesyesyes
SQL infoSupport of SQLnowith Databricks SQL
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregates
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 nodesyesyes
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 regionACID
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.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)
More information provided by the system vendor
Amazon DynamoDBDatabricks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon DynamoDBDatabricks
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