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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
NameInfluxDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score28.48
Rank#28  Overall
#1  Time Series DBMS
Score629.41
Rank#4  Overall
#4  Relational DBMS
Score19.78
Rank#36  Overall
#22  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.postgresql.orgspark.apache.org/­sql
Technical documentationdocs.influxdata.com/­influxdbwww.postgresql.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperPostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software Foundation
Initial release20131989 info1989: Postgres, 1996: PostgreSQL2014
Current release2.7.5, January 202416.2, February 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase 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.
Implementation languageGoCScala
Server operating systemsLinux
OS X infothrough Homebrew
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesno
SQL infoSupport of SQLSQL-like query languageyes infostandard with numerous extensionsSQL-like DML and DDL statements
APIs and other access methodsHTTP API
JSON over UDP
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlypartitioning by range, list and (since PostgreSQL 11) by hashyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage enginenono
User concepts infoAccess controlsimple rights management via user accountsfine grained access rights according to SQL-standardno
More information provided by the system vendor
InfluxDBPostgreSQLSpark SQL
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
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Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 25,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
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News

Time Series Data and OLAP: Why You Should Use InfluxDB for Real-Time Analytics
23 February 2024

InfluxDB 3.0: The Ideal Solution for Real-Time Analytics
21 February 2024

How Time Series Databases and Data Lakes Work Together
19 February 2024

Using Time Series Data for Infrastructure Monitoring: Challenges and Advantages
16 February 2024

Powering Real-Time Data Processing with InfluxDB and AWS Kinesis
14 February 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
InfluxDBPostgreSQLSpark SQL
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

Snowflake is the DBMS of the Year 2022, defending the title from last year
3 January 2023, Matthias Gelbmann, Paul Andlinger

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

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Recent citations in the news

Install the InfluxDB Time-Series Database on Ubuntu Server 22.04
21 October 2023, The New Stack

How Apache Arrow accelerates InfluxDB
21 November 2023, InfoWorld

Inside InfluxDB 3.0: Exploring InfluxDB's Scalable and Decoupled Architecture
15 August 2023, InfoQ.com

InfluxData apologizes for deleting cloud regions without performing 'scream test'
11 July 2023, The Register

InfluxData Announces InfluxDB Clustered to Deliver Time Series Analytics for On-Premises and Private Cloud ...
6 September 2023, Business Wire

provided by Google News

Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL major version 16
31 January 2024, AWS Blog

Blog Theme - Details
14 November 2023, blogs.oracle.com

Generally Available: Support for Cross Region Restore for PostgreSQL backups | Azure updates
31 January 2024, Microsoft

VMware and Google Cloud Announce Planned PostgreSQL-Compatible Database Solution for Traditional and ...
7 November 2023, VMware News

OCI Database: Oracle Embraces PostgreSQL
7 December 2023, InfoQ.com

provided by Google News

Run Spark SQL on Amazon Athena Spark
23 October 2023, AWS Blog

1.5 Years of Spark Knowledge in 8 Tips | by Michael Berk | Dec, 2023
23 December 2023, Towards Data Science

The Evolution of Contexts in Apache Spark | by Ethiraj Srinivasan | Technology Hits | Jan, 2024
4 January 2024, Medium

Cracking the Apache Spark Interview: 80+ Top Questions and Answers for 2023
12 July 2023, Simplilearn

Use Amazon Athena with Spark SQL for your open-source transactional table formats | Amazon Web Services
24 January 2024, AWS Blog

provided by Google News



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