DBMS > IRONdb vs. PostgreSQL vs. VictoriaMetrics
System Properties Comparison IRONdb vs. PostgreSQL vs. VictoriaMetrics
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|Editorial information provided by DB-Engines|
|Name||IRONdb Xexclude from comparison||PostgreSQL Xexclude from comparison||VictoriaMetrics Xexclude from comparison|
|Description||A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||A fast, cost-effective and scalable Time Series DBMS and monitoring solution|
|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.||Time Series DBMS|
|Secondary database models||Document store|
Graph DBMS with Apache Age
|Developer||Circonus LLC.||PostgreSQL Global Development Group www.postgresql.org/developer||VictoriaMetrics|
|Initial release||2017||1989 1989: Postgres, 1996: PostgreSQL||2018|
|Current release||V0.10.20, January 2018||15.3, May 2023||v1.89, March 2023|
|License Commercial or Open Source||commercial||Open Source BSD||Open Source Apache Version 2.0|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C and C++||C||Go|
|Server operating systems||Linux||FreeBSD|
|Typing predefined data types such as float or date||yes text, numeric, histograms||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.||no||yes specific XML-type available, but no XML query functionality.||no|
|SQL Support of SQL||SQL-like query language (Circonus Analytics Query Language: CAQL)||yes standard with numerous extensions||no|
|APIs and other access methods||HTTP API||ADO.NET|
native C library
streaming API for large objects
InfluxDB Line Protocol
Prometheus Query API
Prometheus Remote Read/Write
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||yes, in Lua||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||no|
|Partitioning methods Methods for storing different data on different nodes||Automatic, metric affinity per node||partitioning by range, list and (since PostgreSQL 11) by hash|
|Replication methods Methods for redundantly storing data on multiple nodes||configurable replication factor, datacenter aware||Source-replica replication other methods possible by using 3rd party extensions||Synchronous replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate consistency per node, eventual consistency across nodes||Immediate Consistency||Eventual Consistency|
|Foreign keys Referential integrity||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no||no|
|User concepts Access control||no||fine grained access rights according to SQL-standard|
|More information provided by the system vendor|
|Specific characteristics||High performance, horizontally scalable time series database and monitoring solution...|
|Competitive advantages||Specifically designed for highly loaded workloads Addresses most of the scalability...|
|Typical application scenarios||When the current monitoring solution can't keep up with increasing workload Kubernetes...|
|Key customers||Grammarly, Wix.com, adidas, Sensedia, Brandwatch, CERN, COLOPL, Razorpay See our...|
|Market metrics||8k stars and 100+ contributors on GitHub 100M+ downloads Thousands of active users...|
|Licensing and pricing models||VictoriaMetrics comes in three versions: an open source version, an Enterprise version...|
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||Aiven for PostgreSQL: The familiar open source PostgreSQL® that you know and love, with no proprietary features or add-ons that will lock you in.
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SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
pgDash: In-Depth PostgreSQL Monitoring.
Datasentinel: Platform for Monitoring and Analyzing the performance problems of your PostgreSQL Clusters
Instaclustr: Fully Hosted & Managed PostgreSQL
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
DbVisualizer is equipping database professionals with the tools they need to build, manage and maintain state-of-the-art database technologies. It has sky-high user satisfaction and is the preferred tool for database professionals around the world. Customers include Tesla, Apple, Facebook, Deutsche Bank, NASA, and 25,000 others in 145 countries.
The State of PostgreSQL 2022 survey is now open!
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts|
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|Conferences and events|
PGCon 2023, PostgreSQL Conference for Users and Developers
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