DBMS > Amazon DynamoDB vs. PostgreSQL vs. Spark SQL
System Properties Comparison Amazon DynamoDB vs. PostgreSQL vs. Spark SQL
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|Editorial information provided by DB-Engines|
|Name||Amazon DynamoDB Xexclude from comparison||PostgreSQL Xexclude from comparison||Spark SQL Xexclude from comparison|
|Description||Hosted, scalable database service by Amazon with the data stored in Amazons cloud||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Spark SQL is a component on top of 'Spark Core' for structured data processing|
|Primary database model||Document store|
|Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Relational DBMS|
|Secondary database models||Document store|
|Developer||Amazon||PostgreSQL Global Development Group www.postgresql.org/developer||Apache Software Foundation|
|Initial release||2012||1989 1989: Postgres, 1996: PostgreSQL||2014|
|Current release||15.2, February 2023||3.3.0 ( 2.13), June 2022|
|License Commercial or Open Source||commercial free tier for a limited amount of database operations||Open Source BSD||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||FreeBSD|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes specific XML-type available, but no XML query functionality.||no|
|SQL Support of SQL||no||yes standard with numerous extensions||SQL-like DML and DDL statements|
|APIs and other access methods||RESTful HTTP API||ADO.NET|
native C library
streaming API for large objects
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||no||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||no|
|Triggers||yes by integration with AWS Lambda||yes||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||partitioning by range, list and (since PostgreSQL 11) by hash||yes, utilizing Spark Core|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Source-replica replication other methods possible by using 3rd party extensions||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||no may be implemented via Amazon Elastic MapReduce (Amazon EMR)||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Immediate Consistency can be specified for read operations
|Foreign keys Referential integrity||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID ACID across one or more tables within a single AWS account and region||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no|
|User concepts Access control||Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)||fine grained access rights according to SQL-standard||no|
More information provided by the system vendor
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|Related products and services|
|3rd parties||CData: Connect to Big Data & NoSQL through standard Drivers.|
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Amazon DynamoDB||PostgreSQL||Spark SQL|
|DB-Engines blog posts|
Cloud-based DBMS's popularity grows at high rates The popularity of cloud-based DBMSs has increased tenfold in four years Increased popularity for consuming DBMS services out of the cloud
The popularity of cloud-based DBMSs has increased tenfold in four years Increased popularity for consuming DBMS services out of the cloud
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Snowflake is the DBMS of the Year 2022, defending the title from last year Snowflake is the DBMS of the Year 2021 Driving the Future of PostgreSQL Adoption
Snowflake is the DBMS of the Year 2021 Driving the Future of PostgreSQL Adoption
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|Conferences and events|
PGCon 2023, PostgreSQL Conference for Users and Developers
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