DBMS > Amazon DynamoDB vs. PostgreSQL vs. Quasardb
System Properties Comparison Amazon DynamoDB vs. PostgreSQL vs. Quasardb
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|Editorial information provided by DB-Engines|
|Name||Amazon DynamoDB Xexclude from comparison||PostgreSQL Xexclude from comparison||Quasardb 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||Distributed, high-performance timeseries database|
|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.||Time Series DBMS|
|Secondary database models||Document store|
Graph DBMS with Apache Age
|Developer||Amazon||PostgreSQL Global Development Group www.postgresql.org/developer||quasardb|
|Initial release||2012||1989 1989: Postgres, 1996: PostgreSQL||2009|
|Current release||15.3, May 2023||3.13.3, April 2022|
|License Commercial or Open Source||commercial free tier for a limited amount of database operations||Open Source BSD||commercial Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses|
|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 integer and binary|
|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|
|Secondary indexes||yes||yes||yes with tags|
|SQL Support of SQL||no||yes standard with numerous extensions||SQL-like query language|
|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||Sharding consistent hashing|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Source-replica replication other methods possible by using 3rd party extensions||Source-replica replication with selectable replication factor|
|MapReduce Offers an API for user-defined Map/Reduce methods||no may be implemented via Amazon Elastic MapReduce (Amazon EMR)||no||with Hadoop integration|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Immediate Consistency can be specified for read operations
|Immediate Consistency||Immediate Consistency|
|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||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes by using LevelDB|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes Transient mode|
|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||Cryptographically strong user authentication and audit trail|
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|Conferences and events|
PGCon 2023, PostgreSQL Conference for Users and Developers
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