DBMS > ITTIA vs. PostgreSQL vs. StarRocks
System Properties Comparison ITTIA vs. PostgreSQL vs. StarRocks
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|Editorial information provided by DB-Engines
|ITTIA Xexclude from comparison
|PostgreSQL Xexclude from comparison
|StarRocks Xexclude from comparison
|Edge Time Series DBMS with Real-Time Stream Processing
|Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
|An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics Forked from Apache Doris
|Primary database model
|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.
|Secondary database models
Graph DBMS with Apache Age
Vector DBMS with pgvector extension
|PostgreSQL Global Development Group www.postgresql.org/developer
|The Linux Foundation since Feb 2023
|1989 1989: Postgres, 1996: PostgreSQL
|16.2, February 2024
|2.5.3, March 2023
|License Commercial or Open Source
|Open Source BSD
|Open Source Apache Version 2.0
|Cloud-based only Only available as a cloud service
|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.
|CelerData Cloud – Realtime-analytics delivered at the push of a button
|C and C++
|Server operating systems
|Typing predefined data types such as float or date
|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
|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.
|user defined functions
|Partitioning methods Methods for storing different data on different nodes
|partitioning by range, list and (since PostgreSQL 11) by hash
|horizontal partitioning (by range and hash)
|Replication methods Methods for redundantly storing data on multiple nodes
|Source-replica replication other methods possible by using 3rd party extensions
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Concurrency Support for concurrent manipulation of data
|yes, multi-version concurrency control (MVCC)
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|Database file passwords
|fine grained access rights according to SQL-standard
|Role based access control and fine grained access rights
|More information provided by the system vendor
|StarRocks is an open-source, high-performance columnar analytical database that enables...
|One of the challenges of data lakehouse is to provide fast and interactive query...
|Typical application scenarios
|Real-time analytics Fraud detection System monitoring analytics User facing analytics...
|Trip.com Yoozoo Zepp health Airbnb Lenovo Tencent
|4.4k stars, 223 contributors on GitHub 971 members on Slack *a s of April 2023:
|Licensing and pricing models
|Apache-2.0 license Pay-as-you-go BYOC cloud service by CelerData
We invite representatives of system vendors to contact us for updating and extending the system information,
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