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DBMS > Heroic vs. Immudb vs. InfluxDB vs. OpenQM

System Properties Comparison Heroic vs. Immudb vs. InfluxDB vs. OpenQM

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonImmudb  Xexclude from comparisonInfluxDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.DBMS for storing time series, events and metricsQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelTime Series DBMSKey-value storeTime Series DBMSMultivalue DBMS
Secondary database modelsRelational DBMSSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websitegithub.com/­spotify/­heroicgithub.com/­codenotary/­immudb
immudb.io
www.influxdata.com/­products/­influxdb-overviewwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationspotify.github.io/­heroicdocs.immudb.iodocs.influxdata.com/­influxdb
DeveloperSpotifyCodenotaryRocket Software, originally Martin Phillips
Initial release2014202020131993
Current release1.2.3, April 20222.7.6, April 20243.4-12
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoGo
Server operating systemsBSD
Linux
macOS
Solaris
Windows
z/OS
Linux
OS X infothrough Homebrew
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes infowith some exceptions
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.nononoyes
Secondary indexesyes infovia Elasticsearchyesnoyes
SQL infoSupport of SQLnoSQL-like syntaxSQL-like query languageno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
gRPC protocol
PostgreSQL wire protocol
HTTP API
JSON over UDP
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoin enterprise version onlyyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoin enterprise version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoDepending on used storage engine
User concepts infoAccess controlsimple rights management via user accountsAccess rights can be defined down to the item level
More information provided by the system vendor
HeroicImmudbInfluxDBOpenQM infoalso called QM
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
HeroicImmudbInfluxDBOpenQM infoalso called QM
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

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News

Codenotary Releases immudb v1.9DOM
19 October 2023, Business Wire

Codenotary brings its immutable database to the cloud
21 June 2023, TechCrunch

A Step by Step Guide to immudb — the open source immutable database
18 May 2020, hackernoon.com

Immudb: Open-source database, built on a zero trust model
17 December 2021, Help Net Security

immudb (immutable database) 'tamper-proof' database - Open Source Insider
14 December 2021, ComputerWeekly.com

provided by Google 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

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

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

Time-series database startup InfluxData debuts self-managed version of InfluxDB
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