DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Apache Ignite vs. ClickHouse vs. Firebolt

System Properties Comparison Apache Ignite vs. ClickHouse vs. Firebolt

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Ignite  Xexclude from comparisonClickHouse  Xexclude from comparisonFirebolt  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.Highly scalable cloud data warehouse and analytics product infoForked from Clickhouse
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.92
Rank#91  Overall
#15  Key-value stores
#48  Relational DBMS
Score16.50
Rank#35  Overall
#21  Relational DBMS
Score1.46
Rank#146  Overall
#67  Relational DBMS
Websiteignite.apache.orgclickhouse.comwww.firebolt.io
Technical documentationapacheignite.readme.io/­docsclickhouse.com/­docsdocs.firebolt.io
DeveloperApache Software FoundationClickhouse Inc.Firebolt Analytics Inc.
Initial release201520162020
Current release2.16.0, December 2023v24.6.2.17-stable, July 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
Implementation languageC++, Java, .NetC++
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
hosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLClose to ANSI SQL (SQL/JSON + extensions)yes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
.Net
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
Go
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesno
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingkey based and custom
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Asynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.depending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
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
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.

More information provided by the system vendor

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
3rd partiesDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» more

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

More resources
Apache IgniteClickHouseFirebolt
Recent citations in the news

Real-time in-memory OLTP and Analytics with Apache Ignite on AWS | Amazon Web Services
14 May 2016, AWS Blog

What is Apache Ignite? How is Apache Ignite Used?
18 July 2022, The Stack

GridGain, Apache Ignite founder talks in-memory databases
11 August 2022, TechTarget

Light a fire under Cassandra with Apache Ignite
27 April 2017, InfoWorld

Apache Ignite & Apache Lens: New top-level projects explained
4 September 2015, SiliconANGLE News

provided by Google News

Real-time database startup ClickHouse acquires PeerDB to expand its Postgres support
30 July 2024, TechCrunch

Azur Games migrates all game analytics data to ClickHouse Cloud on AWS
16 July 2024, AWS Blog

Database startup ClickHouse Announces PeerDB Acquistion
31 July 2024, Tech Times

A Beginner’s Guide to ClickHouse Database
13 September 2024, KDnuggets

ClickHouse Acquires PeerDB to Boost Real-time Analytics with Postgres CDC Integration
30 July 2024, Business Wire

provided by Google News

Firebolt Introduces Industry-First Low Latency Cloud Data Warehouse
18 September 2024, insideBIGDATA

Data warehouse unicorn Firebolt aims to make magic in Kirkland
10 September 2024, The Business Journals

Analytics and Data Science News for the Week of September 20; Updates from Firebolt, Qrvey, Teradata & More
20 September 2024, Solutions Review

10 Best Data Pipeline Tools of 2024 to Boost Your Productivity
20 February 2024, Datamation

Firebolt secures a fresh round of funding to expand its cloud data warehouse technology
26 January 2022, VentureBeat

provided by Google News



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

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here