DBMS > PlanetScale vs. PostgreSQL vs. TimesTen
System Properties Comparison PlanetScale vs. PostgreSQL vs. TimesTen
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|Editorial information provided by DB-Engines|
|Name||PlanetScale Xexclude from comparison||PostgreSQL Xexclude from comparison||TimesTen Xexclude from comparison|
|Description||Scalable, distributed, serverless MySQL database platform built on top of Vitess||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||In-Memory RDBMS compatible to Oracle|
|Primary database model||Relational DBMS||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|
Graph DBMS with Apache Age
Vector DBMS with pgvector extension
|Developer||PlanetScale||PostgreSQL Global Development Group www.postgresql.org/developer||Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005|
|Initial release||2020||1989 1989: Postgres, 1996: PostgreSQL||1998|
|Current release||16.0, September 2023||11 Release 2 (188.8.131.52.0)|
|License Commercial or Open Source||commercial||Open Source BSD||commercial|
|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||Docker|
|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||yes with proprietary extensions||yes standard with numerous extensions||yes|
|APIs and other access methods||ADO.NET|
native C library
streaming API for large objects
Oracle Call Interface (OCI)
|Supported programming languages||Ada|
|Server-side scripts Stored procedures||yes proprietary syntax||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||PL/SQL|
|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|
|Source-replica replication other methods possible by using 3rd party extensions||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency across shards|
Immediate Consistency within a shard
|Immediate Consistency||Immediate Consistency or Eventual Consistency depending on configuration|
|Foreign keys Referential integrity||yes not for MyISAM storage engine||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID at shard level||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes table locks or row locks depending on storage engine||yes||yes|
|Durability Support for making data persistent||yes||yes||yes by means of logfiles and checkpoints|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no||yes|
|User concepts Access control||Users with fine-grained authorization concept no user groups or roles||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard|
More information provided by the system vendor
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|Related products and services|
|3rd parties||Datasentinel: Platform for Monitoring and Analyzing the performance problems of your PostgreSQL Clusters|
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.
pgDash: In-Depth PostgreSQL Monitoring.
Instaclustr: Fully Hosted & Managed PostgreSQL
Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
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 Monitor is a safe, simple and agentless remote server monitoring tool for PostgreSQL and many other database management systems.
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts|
Snowflake is the DBMS of the Year 2022, defending the title from last year
|Conferences and events|
PostgreSQL 101: An introduction to Multi-Version Concurrency Control and Vacuum
|Recent citations in the news|
PlanetScale Joins AWS ISV Accelerate Program
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PlanetScale Now Available on Google Cloud Marketplace
provided by Google News
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