DBMS > Amazon DynamoDB vs. FaunaDB vs. PostgreSQL vs. STSdb
System Properties Comparison Amazon DynamoDB vs. FaunaDB vs. PostgreSQL vs. STSdb
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||Amazon DynamoDB Xexclude from comparison||FaunaDB Xexclude from comparison||PostgreSQL Xexclude from comparison||STSdb Xexclude from comparison|
|Description||Hosted, scalable database service by Amazon with the data stored in Amazons cloud||Strongly consistent database capable of global horizontal scale with a focus on operational simplicity||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Key-Value Store with special method for indexing optimized for high performance using a special indexing method|
|Primary database model||Document store|
Time Series DBMS
|Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Key-value store|
|Secondary database models||Document store|
|Developer||Amazon||Fauna, Inc.||PostgreSQL Global Development Group www.postgresql.org/developer||STS Soft SC|
|Initial release||2012||2014||1989 1989: Postgres, 1996: PostgreSQL||2011|
|Current release||12.1, November 2019|
|License Commercial or Open Source||commercial free tier for a limited amount of database operations||commercial||Open Source BSD||Open Source GPLv2, commercial license available|
|Cloud-based only Only available as a cloud service||yes||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Server operating systems||hosted||Linux||FreeBSD|
|Typing predefined data types such as float or date||yes||no||yes||yes primitive types and user defined types (classes)|
|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.||no||yes specific XML-type available, but no XML query functionality.|
|SQL Support of SQL||no||no||yes standard with numerous extensions||no|
|APIs and other access methods||RESTful HTTP API||RESTful HTTP API||ADO.NET|
native C library
streaming API for large objects
|.NET Client API|
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||no||user defined functions||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||no||yes||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||horizontal partitioning consistent hashing||partitioning by range, list and (since PostgreSQL 11) by hash||none|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Masterless||Master-slave 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||no||no|
|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||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||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes||yes|
|Durability Support for making data persistent||yes||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)||Identity management, authentication, and access control||fine grained access rights according to SQL-standard||no|
|More information provided by the system vendor|
|Specific characteristics||Serverless cloud database for modern applications Native GraphQL API High performance...|
|Competitive advantages||Document-relational interface: combines flexibility in modeling with flexibility...|
|Key customers||Nextdoor ShiftX|
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||CData: Connect to Big Data & NoSQL through standard Drivers.|
|CYBERTEC: your professional partner for PostgreSQL services and Data Science based on PostgreSQL since 2000. With offices in Austria, Uruguay, Estonia and Switzerland, CYBERTEC operates worldwide!|
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
DBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
2ndQuadrant: PostgreSQL Solutions for the Enterprise.
SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
Dremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.
pgDash: In-Depth PostgreSQL Monitoring.
General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts|
The popularity of cloud-based DBMSs has increased tenfold in four years Increased popularity for consuming DBMS services out of the cloud
Increased popularity for consuming DBMS services out of the cloud
PostgreSQL is the DBMS of the Year 2018
|Recent citations in the news|
How DynamoDB Is Gaining Popularity In The Developer Community
The top 30 Amazon products and services tech pros used this year
Druva sinks deeper backup hooks into AWS
Cloud Computing Solutions Market to Witness Huge Growth by 2019-2026 with Key Players Oracle, Amazon DynamoDB, Ancoris, CliQr, Midokura, Netpremacy, Cloudyn, Celigo, Aryaka
AWS: Yes, We’re Launching a Managed Apache Cassandra Service; No, We’re Not Monsters
provided by Google News
Cloud native, chaos-tolerant FaunaDB adds support for SQL, GraphQL, and CQL
Has FaunaDB Cracked the Code for Global Transactionality?
FaunaDB brings its serverless database to Netlify to help developers create apps
provided by Google News
Crunchy Certified PostGIS Achieves Open Geospatial Consortium Compliance
Faster PostgreSQL connection recovery
PostgREST Turns PostGRE RESTful
EnterpriseDB Announces Postgres Platform 12; Extends Leading Open Source Database
provided by Google News
Penetration Tester, AWS Specialist
Specialist 3, Voice Comms
Director of AWS Architecture
Technical Account Manager - Virtual Location - Kentucky
AWS Solution Engineer
Frontend Chat Engineer - Cryptowatch (Remote)
Data Visualization Analyst
Data Analytics Scientist
Software Engineer - Medical Imaging
Share this page