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DBMS > InfluxDB vs. LevelDB vs. Netezza vs. Postgres-XL

System Properties Comparison InfluxDB vs. LevelDB vs. Netezza vs. Postgres-XL

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonLevelDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesData warehouse and analytics appliance part of IBM PureSystemsBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelTime Series DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.56
Rank#28  Overall
#1  Time Series DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score0.52
Rank#256  Overall
#117  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewgithub.com/­google/­leveldbwww.ibm.com/­products/­netezzawww.postgres-xl.org
Technical documentationdocs.influxdata.com/­influxdbgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.postgres-xl.org/­documentation
DeveloperGoogleIBM
Initial release2013201120002014 infosince 2012, originally named StormDB
Current release2.7.5, January 20241.23, February 202110 R1, October 2018
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoBSDcommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C
Server operating systemsLinux
OS X infothrough Homebrew
Illumos
Linux
OS X
Windows
Linux infoincluded in applianceLinux
macOS
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateNumeric data and Stringsnoyesyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesnonoyesyes
SQL infoSupport of SQLSQL-like query languagenoyesyes infodistributed, parallel query execution
APIs and other access methodsHTTP API
JSON over UDP
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonoyesuser defined functions
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlynoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineno
User concepts infoAccess controlsimple rights management via user accountsnoUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard
More information provided by the system vendor
InfluxDBLevelDBNetezza infoAlso called PureData System for Analytics by IBMPostgres-XL
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...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 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...
» more
News

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
InfluxDBLevelDBNetezza infoAlso called PureData System for Analytics by IBMPostgres-XL
DB-Engines blog posts

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1 June 2015, Paul Andlinger

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Recent citations in the news

Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services
14 March 2024, AWS Blog

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

AWS and InfluxData partner to offer managed time series database Timestream for InfluxDB
5 April 2024, VentureBeat

How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
14 March 2024, Business Wire

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IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
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Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
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