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DBMS > GBase vs. InfluxDB

System Properties Comparison GBase vs. InfluxDB

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonInfluxDB  Xexclude from comparison
DescriptionAn analytical database for business intelligence with large customers in China.DBMS for storing time series, events and metrics
Primary database modelRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#173  Overall
#85  Relational DBMS
Score29.56
Rank#28  Overall
#1  Time Series DBMS
Websitewww.gbase8a.comwww.influxdata.com/­products/­influxdb-overview
Technical documentationdocs.influxdata.com/­influxdb
Initial release2013
Current releaseGBase 8a2.0.7, June 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemsLinux
OS X infothrough Homebrew
Data schemeschema-free
Typing infopredefined data types such as float or dateNumeric data and Strings
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.no
Secondary indexesno
SQL infoSupport of SQLSQL-like query language
APIs and other access methodsHTTP API
JSON over UDP
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engine
User concepts infoAccess controlsimple rights management via user accounts
More information provided by the system vendor
GBaseInfluxDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

Visualize Geotemporal Data with InfluxDB Cloud’s New Map Graph
2 August 2021

Release Announcement: InfluxDB CLI 2.1.0
30 July 2021

Release Announcement: Telegraf 1.19.2
29 July 2021

Collecting Data from Chess.com: A Look at Writing Your Own Custom Telegraf Plugin
26 July 2021

Release Announcement: InfluxDB Enterprise 1.9.3
23 July 2021

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.

Related products and services

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More resources
GBaseInfluxDB
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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Recent citations in the news

Discover how a Time Series Database can Revolutionize Your Business with InfluxDB Cloud
15 July 2021, Database Trends and Applications

Understand and Visualize Your Time-Stamped Data -- ADTmag
27 July 2021, ADT Magazine

InfluxData releases InfluxDB Notebooks to enhance collaboration for teams working with time series data
14 April 2021, Business Wire

InfluxData Closes 2020 with Exponential Cloud Growth, Expanding User Base, and Big New Customers
14 January 2021, Business Wire

InfluxData Advances Possibilities of Time Series Data With General Availability of InfluxDB 2.0
10 November 2020, Business Wire

provided by Google News



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