DB-EnginesEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Apache Ignite vs. Firebolt vs. OrientDB

System Properties Comparison Apache Ignite vs. Firebolt vs. OrientDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Ignite  Xexclude from comparisonFirebolt  Xexclude from comparisonOrientDB  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.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelKey-value store
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
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
Score1.46
Rank#146  Overall
#67  Relational DBMS
Score2.97
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Websiteignite.apache.orgwww.firebolt.ioorientdb.org
Technical documentationapacheignite.readme.io/­docsdocs.firebolt.iowww.orientdb.com/­docs/­last/­index.html
DeveloperApache Software FoundationFirebolt Analytics Inc.OrientDB LTD; CallidusCloud; SAP
Initial release201520202010
Current release2.16.0, December 20233.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetJava
Server operating systemsLinux
OS X
Solaris
Windows
hostedAll OS with a Java JDK (>= JDK 6)
Data schemeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
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 DDLyesSQL-like query language, no joins
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.Net
ODBC
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Go
JavaScript (Node.js)
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noJava, Javascript
Triggersyes (cache interceptors and events)noHooks
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)depending on storage layerMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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.yes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and roles; record level security configurable

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

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

More resources
Apache IgniteFireboltOrientDB
DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

show all

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

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

Fire up big data processing with Apache Ignite
27 October 2016, InfoWorld

Apache Ignite 2.4 rolls out with Machine Learning and Spark DataFrames capabilities
19 March 2018, Packt Hub

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

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

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

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

provided by Google News

Top 8 Best NoSQL Databases in 2024
9 September 2024, AIM

Comparing Graph Databases II. Part 2: ArangoDB, OrientDB, and… | by Sam Bell
20 September 2019, Towards Data Science

The 12 Best Graph Databases to Consider for 2024
22 October 2023, Solutions Review

K2View updates DataOps platform with data fabric automation
11 May 2021, TechTarget

kegra: Deep Learning on Knowledge Graphs with Keras
4 December 2017, Towards Data Science

provided by Google News



Share this page

Featured Products

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

SingleStore logo

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

RaimaDB logo

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

Neo4j logo

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

Milvus logo

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

Present your product here