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DBMS > ActivePivot vs. EXASOL vs. InfluxDB vs. IRONdb

System Properties Comparison ActivePivot vs. EXASOL vs. InfluxDB vs. IRONdb

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Editorial information provided by DB-Engines
NameActivePivot  Xexclude from comparisonEXASOL  Xexclude from comparisonInfluxDB  Xexclude from comparisonIRONdb  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.High-performance, in-memory, MPP database specifically designed for in-memory analytics.DBMS for storing time series, events and metricsA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelObject oriented DBMSRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#213  Overall
#12  Object oriented DBMS
Score3.65
Rank#85  Overall
#43  Relational DBMS
Score23.34
Rank#29  Overall
#1  Time Series DBMS
Score0.09
Rank#315  Overall
#28  Time Series DBMS
Websiteactiveviam.com/­en/­products/­activepivot-in-memory-analytical-databasewww.exasol.com/­en/­productswww.influxdata.com/­products/­influxdb-overviewwww.circonus.com/­solutions/­time-series-database
Technical documentationwww.exasol.com/­en/­community/­resourcesdocs.influxdata.com/­influxdbdocs.circonus.com/­irondb
DeveloperActiveViamExasolCirconus LLC.
Initial release200020132017
Current release1.8.0, April 2020V0.10.20, January 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT-License; commercial enterprise version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC and C++
Server operating systemsLinux
OS X infothrough Homebrew
Linux
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes infotext, numeric, histograms
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.nonono
Secondary indexesyesnono
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesSQL-like query languageSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HTTP API
JSON over UDP
HTTP API
Supported programming languagesJava
Lua
Python
R
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresPost-processors in Javauser defined functionsnoyes, in Lua
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding infoin enterprise version onlyAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesyes infoDepending on used storage engineno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accountsno
More information provided by the system vendor
ActivePivotEXASOLInfluxDBIRONdb
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
IRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Unmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Real Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
IRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Only TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
IRONdb is licensed under a subscription model based on the number of active metrics...
» more

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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
ActivePivotEXASOLInfluxDBIRONdb
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

ActiveViam Embraces Python for its In-Memory Database
4 August 2020, www.waterstechnology.com

provided by Google News

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Reasons to switch to the InfluxDB time-series database, explored
25 August 2020, TechHQ

How to easily deploy LAN-accessible pods to a Kubernetes cluster
17 September 2020, TechRepublic

Metrics as a Service Model with InfluxDB
19 August 2020, DevOps.com

Stream Processing with InfluxDB — An Introduction
19 August 2020, DevOps.com

Where InfluxDB time series database is going
21 January 2020, TechTarget

provided by Google News

Circonus Announces IRONdb, Database for Graphite Infrastructure
11 January 2017, PR Newswire

Circonus Announces Grafana Datasource Plugin for IRONdb
1 March 2018, PR Newswire

Circonus Announces Availability of Spring 2020 Release with Kubernetes and Cloud Monitoring
21 April 2020, Database Trends and Applications

Bob Moul's latest gig is leading data intelligence company Circonus
30 October 2019, Technical.ly

Circonus Launches the First Machine Data Intelligence Platform Built to Harness the Exploding Volume of Data in a World with a Trillion Connected Computers
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