DBMS > Google Cloud Datastore vs. PostgreSQL vs. STSdb
System Properties Comparison Google Cloud Datastore vs. PostgreSQL vs. STSdb
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||Google Cloud Datastore Xexclude from comparison||PostgreSQL Xexclude from comparison||STSdb Xexclude from comparison|
|Description||Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform||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||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|
Graph DBMS with Apache Age
Vector DBMS with pgvector extension
|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||STS Soft SC|
|Initial release||2008||1989 1989: Postgres, 1996: PostgreSQL||2011|
|Current release||16.1, November 2023||4.0.8, September 2015|
|License Commercial or Open Source||commercial||Open Source BSD||Open Source GPLv2, commercial license available|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.|
|Server operating systems||hosted||FreeBSD|
|Typing predefined data types such as float or date||yes, details here||yes||yes primitive types and user defined types (classes)|
|no||yes specific XML-type available, but no XML query functionality.|
|SQL Support of SQL||SQL-like query language (GQL)||yes standard with numerous extensions||no|
|APIs and other access methods||gRPC (using protocol buffers) API|
RESTful HTTP/JSON API
native C library
streaming API for large objects
|.NET Client API|
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||using Google App Engine||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||no|
|Triggers||Callbacks using the Google Apps Engine||yes||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||partitioning by range, list and (since PostgreSQL 11) by hash||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication using Paxos||Source-replica replication other methods possible by using 3rd party extensions||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes using Google Cloud Dataflow||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency or Eventual Consistency depending on type of query and configuration Strong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.||Immediate Consistency|
|Foreign keys Referential integrity||yes via ReferenceProperties or Ancestor paths||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID Serializable Isolation within Transactions, Read Committed outside of Transactions||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|User concepts Access control||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||fine grained access rights according to SQL-standard||no|
More information provided by the system vendor
|Related products and services|
|3rd parties||pgDash: In-Depth PostgreSQL Monitoring. |
Timescale: Calling all PostgreSQL users – the 2023 State of PostgreSQL survey is now open! Share your favorite extensions, preferred frameworks, community experiences, and more. Take the survey today!
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
Fujitsu Enterprise Postgres: An Enterprise Grade PostgreSQL with the flexibility of a hybrid cloud solution combined with industry leading security, availability and performance.
Redgate webinars: A series of key topics for new PostgreSQL users.
Datasentinel: Platform for Monitoring and Analyzing the performance problems of your PostgreSQL Clusters
Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Navicat Monitor is a safe, simple and agentless remote server monitoring tool for PostgreSQL and many other database management systems.
Instaclustr: Fully Hosted & Managed PostgreSQL
|Google Cloud Datastore||PostgreSQL||STSdb|
|DB-Engines blog posts|
Snowflake is the DBMS of the Year 2022, defending the title from last year
|Recent citations in the news|
NetApp pushes ONTAP into VMware's Google Cloud Engine – Blocks and Files
Google’s Cloud Platform Gets Improved Hadoop Support With BigQuery And Cloud Datastore Connectors
Google announces new faster API for Google Cloud Datastore
What is Google Cloud?
At a High Level: Microsoft Azure vs. Google Cloud Platform
provided by Google News
OCI Database: Oracle Embraces PostgreSQL
Data Flow Tutorial With Mage.ai | Part 4: PostgreSQL Database - Technical Articles
Meet PGXMAN : The PostgreSQL Extension Manager
VMware and Google Cloud Announce Planned PostgreSQL-Compatible Database Solution for Traditional and ...
Crunchy Data and Center for Internet Security Announce Benchmark Update for PostgreSQL 16
provided by Google News
Cloud Services Fellow
Senior Software Engineer
Senior Full Stack Engineer for Payment Initiation Platform - Assistant Vice President
Staff Software Developer
Sr PostgreSQL DBA
Full Stack Developer
Share this page