DBMS > Amazon DynamoDB vs. PostgreSQL vs. XTDB
System Properties Comparison Amazon DynamoDB vs. PostgreSQL vs. XTDB
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|Editorial information provided by DB-Engines
|Amazon DynamoDB Xexclude from comparison
|PostgreSQL Xexclude from comparison
|XTDB formerly named Crux Xexclude from comparison
|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
|A general purpose database with bitemporal SQL and Datalog and graph queries
|Primary database model
|Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
|Secondary database models
Graph DBMS with Apache Age
Vector DBMS with pgvector extension
|PostgreSQL Global Development Group www.postgresql.org/developer
|1989 1989: Postgres, 1996: PostgreSQL
|16.2, February 2024
|1.19, September 2021
|License Commercial or Open Source
|commercial free tier for a limited amount of database operations
|Open Source BSD
|Open Source MIT License
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
|Server operating systems
|All OS with a Java 8 (and higher) VM
|Typing predefined data types such as float or date
|yes, extensible-data-notation format
|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.
|SQL Support of SQL
|yes standard with numerous extensions
|limited SQL, making use of Apache Calcite
|APIs and other access methods
|RESTful HTTP API
native C library
streaming API for large objects
|Supported programming languages
|Server-side scripts Stored procedures
|user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
|yes by integration with AWS Lambda
|Partitioning methods Methods for storing different data on different nodes
|partitioning by range, list and (since PostgreSQL 11) by hash
|Replication methods Methods for redundantly storing data on multiple nodes
|Source-replica replication other methods possible by using 3rd party extensions
|yes, each node contains all data
|MapReduce Offers an API for user-defined Map/Reduce methods
|no may be implemented via Amazon Elastic MapReduce (Amazon EMR)
|Consistency concepts Methods to ensure consistency in a distributed system
Immediate Consistency can be specified for read operations
|Foreign keys Referential integrity
|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
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|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
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|XTDB formerly named Crux
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|Recent citations in the news
A new and improved AWS CDK construct for Amazon DynamoDB tables | Amazon Web Services
AWS announces Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service
Announcing incremental export to S3 for Amazon DynamoDB
provided by Google News
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