DB-EnginesExtremeDB: the first and only COTS deterministic embedded database management system for mission- and safety-critical hard real-time applicationsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Heroic vs. Ignite vs. InfluxDB

System Properties Comparison Heroic vs. Ignite vs. InfluxDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonIgnite  Xexclude from comparisonInfluxDB  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.DBMS for storing time series, events and metrics
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Time Series DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#311  Overall
#27  Time Series DBMS
Score4.85
Rank#74  Overall
#10  Key-value stores
#41  Relational DBMS
Score29.50
Rank#28  Overall
#1  Time Series DBMS
Websitespotify.github.io/­heroic/­#!/­indexignite.apache.orgwww.influxdata.com/­products/­influxdb-overview
Technical documentationspotify.github.io/­heroic/­#!/­docs/­overviewapacheignite.readme.io/­docsdocs.influxdata.com/­influxdb
DeveloperSpotifyApache Software Foundation
Initial release201420152013
Current releaseApache Ignite 2.62.0.8, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java, .NetGo
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric 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.noyesno
Secondary indexesyes infovia Elasticsearchyesno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query language
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JSON over UDP
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)no
Triggersnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)selectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes infoDepending on used storage engine
User concepts infoAccess controlSecurity Hooks for custom implementationssimple rights management via user accounts
More information provided by the system vendor
HeroicIgniteInfluxDB
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

Why I Joined InfluxData – Charles Mahler
17 September 2021

Getting Started with PHP and InfluxDB
13 September 2021

Flux Aggregation in InfluxDB: Now or Later
10 September 2021

See You in October – InfluxDays North America 2021!
9 September 2021

Why I Joined InfluxData – Lyndal Cairns
8 September 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

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
HeroicIgniteInfluxDB
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

show all

Recent citations in the news

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

provided by Google News

GridGain Opens Registration, Announces Call for Papers for Ignite Summit
31 August 2021, GlobeNewswire

First Apache Ignite Summit Energizes Global Audience
10 June 2021, GlobeNewswire

The Apache® Software Foundation Announces Annual Report for
31 August 2021, GlobeNewswire

Optimizing the Relationship Between Apache Ignite and Kubernetes
9 October 2020, Container Journal

GridGain Announces Keynote Speakers for First Ignite Summit
6 May 2021, GlobeNewswire

provided by Google News

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

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

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

AWS Announces General Availability of Amazon Managed Grafana
31 August 2021, Yahoo Finance

provided by Google News

Job opportunities

Senior Engineer
Amex, Phoenix, AZ

Senior Data Engineer
Centene Corporation, Tampa, FL

Director, Inside Sales
GridGain, Foster City, CA

Senior Java Engineer
Verizon, Temple Terrace, FL

Sr. Developer Trading
LPL Financial, San Diego, CA

jobs by Indeed



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database machine learning. Try Vertica for free with no time limit.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here