DBMS > InfluxDB vs. PostgreSQL vs. Spark SQL
System Properties Comparison InfluxDB vs. PostgreSQL vs. Spark SQL
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|Editorial information provided by DB-Engines
|InfluxDB Xexclude from comparison
|PostgreSQL Xexclude from comparison
|Spark SQL Xexclude from comparison
|DBMS for storing time series, events and metrics
|Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
|Spark SQL is a component on top of 'Spark Core' for structured data processing
|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
|Spatial DBMS with GEO package
Graph DBMS with Apache Age
Vector DBMS with pgvector extension
|PostgreSQL Global Development Group www.postgresql.org/developer
|Apache Software Foundation
|1989 1989: Postgres, 1996: PostgreSQL
|2.7.5, January 2024
|16.2, February 2024
|3.5.0 ( 2.13), September 2023
|License Commercial or Open Source
|Open Source MIT-License; commercial enterprise version available
|Open Source BSD
|Open Source Apache 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.
|Server operating systems
OS X through Homebrew
|Typing predefined data types such as float or date
|Numeric data and Strings
|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
|SQL-like query language
|yes standard with numerous extensions
|SQL-like DML and DDL statements
|APIs and other access methods
JSON over UDP
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.
|Partitioning methods Methods for storing different data on different nodes
|Sharding in enterprise version only
|partitioning by range, list and (since PostgreSQL 11) by hash
|yes, utilizing Spark Core
|Replication methods Methods for redundantly storing data on multiple nodes
|selectable replication factor in enterprise version only
|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
|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.
|yes Depending on used storage engine
|User concepts Access control
|simple rights management via user accounts
|fine grained access rights according to SQL-standard
|More information provided by the system vendor
|InfluxData is the creator of InfluxDB , the open source time series database. It...
|Time to Value InfluxDB is available in all the popular languages and frameworks,...
|Typical application scenarios
|IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
|InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
|Fastest-growing database to drive 25,500 GitHub stars Over 750,000 daily active instances
|Licensing and pricing models
|Open source core with closed source clustering available either on-premise or on...
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We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts
Why Build a Time Series Data Platform? Time Series DBMS are the database category with the fastest increase in popularity
Time Series DBMS are the database category with the fastest increase in popularity
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|Recent citations in the news
Install the InfluxDB Time-Series Database on Ubuntu Server 22.04
How Apache Arrow accelerates InfluxDB
Inside InfluxDB 3.0: Exploring InfluxDB's Scalable and Decoupled Architecture
InfluxData apologizes for deleting cloud regions without performing 'scream test'
InfluxData Announces InfluxDB Clustered to Deliver Time Series Analytics for On-Premises and Private Cloud ...
provided by Google News
Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL major version 16
Blog Theme - Details
Generally Available: Support for Cross Region Restore for PostgreSQL backups | Azure updates
VMware and Google Cloud Announce Planned PostgreSQL-Compatible Database Solution for Traditional and ...
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provided by Google News
Run Spark SQL on Amazon Athena Spark
1.5 Years of Spark Knowledge in 8 Tips | by Michael Berk | Dec, 2023
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provided by Google News
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