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DBMS > eXtremeDB vs. InfluxDB

System Properties Comparison eXtremeDB vs. InfluxDB

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonInfluxDB  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringDBMS for storing time series, events and metrics
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#221  Overall
#106  Relational DBMS
#12  Time Series DBMS
Score19.62
Rank#33  Overall
#1  Time Series DBMS
Websitewww.mcobject.com/­extremedbfamilywww.influxdata.com/­time-series-platform/­influxdb
Technical documentationwww.mcobject.com/­docs/­eXtremeDB.htmdocs.influxdata.com/­influxdb
DeveloperMcObject
Initial release20012013
Current release8.0, May 20181.7.8, August 2019
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 languageC and C++Go
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X infothrough Homebrew
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric 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 infosupport of XML interfaces availableno
Secondary indexesyesno
SQL infoSupport of SQLyes infowith the option: eXtremeSQLSQL-like query language
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
proprietary protocol
HTTP API
JSON over UDP
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyesno
Triggersyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby means of eXtremeDB Cluster option
Master-slave replication infoby means of eXtremeDB High Availability option
selectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engine
User concepts infoAccess controlsimple rights management via user accounts
More information provided by the system vendor
eXtremeDBInfluxDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Time to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
IoT & Sensor Monitoring Instrumentation of every available surface in the material...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
InfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsWith hundreds of customers and over 28 million devices/applications using the product...
» more
Fastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Open source core with closed source clustering available either on-premise or on...
» more

Related products and services

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More resources
eXtremeDBInfluxDB
DB-Engines blog posts

Why Build a Time Series Data Platform?
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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

McObject's eXtremeDB for HPC is Now Available on AWS
15 October 2019, HPCwire

eXtremeDB shortlisted for two Data Management Insight Awards
9 October 2019, Embedded Computing Design

eXtremeDB shortlisted in 4 different best DBMS categories in 1 week
8 October 2019, IoT For All

People Moves: AlgoDynamix, Tourmaline , Asset Control, SIX
27 September 2019, www.waterstechnology.com

Unique Active Replication Fabric feature announced by McObject for its eXtremeDB IoT SDK bundle
13 May 2019, GlobeNewswire

provided by Google News

InfluxData Opens London Office to Meet Demand as Time Series Databases Take off in EMEA
9 October 2019, Yahoo Finance

InfluxData Releases Serverless Time Series Database for Cloud
23 September 2019, ADT Magazine

InfluxData launches InfluxDB Cloud 2.0 – the first serverless time series platform-as-a-service
10 September 2019, Business Wire

An Introduction to InfluxDB
5 August 2019, The Collegian

InfluxData unveils InfluxDB Cloud 2.0, a serverless time series platform
12 September 2019, Help Net Security

provided by Google News

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