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DBMS > FoundationDB vs. Hazelcast vs. Ignite

System Properties Comparison FoundationDB vs. Hazelcast vs. Ignite

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonHazelcast  Xexclude from comparisonIgnite  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.A widely adopted in-memory data gridApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value storeKey-value store
Relational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#161  Overall
#23  Document stores
#28  Key-value stores
#78  Relational DBMS
Score8.36
Rank#45  Overall
#5  Key-value stores
Score5.01
Rank#64  Overall
#12  Key-value stores
#35  Relational DBMS
Websitewww.foundationdb.orghazelcast.comignite.apache.org
Technical documentationapple.github.io/­foundationdbhazelcast.org/­documentationapacheignite.readme.io/­docs
DeveloperFoundationDBHazelcastApache Software Foundation
Initial release201320082015
Current release6.2.11, November 20193.12.2, August 2019Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0
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 languageC++JavaC++, Java, .Net
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeschema-free infosome layers support schemasschema-freeyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyes
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.yes infothe object must implement a serialization strategyyes
Secondary indexesnoyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-like query languageANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresin SQL-layer onlyyes infoEvent Listeners, Executor Servicesyes (compute grid and cache interceptors can be used instead)
Triggersnoyes infoEventsyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated Mapyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACID
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.yesyes
User concepts infoAccess controlnoRole-based access controlSecurity Hooks for custom implementations
More information provided by the system vendor
FoundationDBHazelcastIgnite
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more

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More resources
FoundationDBHazelcastIgnite
Recent citations in the news

Apple’s FoundationDB open sources the database layer behind CloudKit
14 January 2019, 9to5Mac

FoundationDB's Record Layer Supports Relational Database Semantics, Schema Management and Indexing
10 February 2019, InfoQ.com

FoundationDB, a very interesting NoSQL database owned by Apple, is now an open-source project
19 April 2018, GeekWire

FoundationDB Goes Open Source
23 April 2018, Datanami

Apple Acquires Durable Database Company FoundationDB
24 March 2015, TechCrunch

provided by Google News

Open Source Hazelcast Data Grid Optimized on Intel Optane for AI, IoT Workloads
20 November 2019, ADT Magazine

Hazelcast raises $21 million for high-speed, low-latency memory
18 June 2019, VentureBeat

Hazelcast Enhances Open Source Ecosystems with In-Memory Speed
30 September 2019, PRNewswire

Hazelcast to Accelerate High-Performance Computing Solutions in Collaboration with Intel
24 September 2019, PRNewswire

Experts Offer 6 Predictions for IoT in 2020
24 December 2019, Database Trends and Applications

provided by Google News

GridGain's Strong Market Momentum Continued in 2019
16 January 2020, GlobeNewswire

GridGain Shares Deep In-Memory Computing Expertise at Industry Events Around the World
14 January 2020, GlobeNewswire

GridGain Offers New Consulting Services Packages for Apache Ignite and GridGain Community Edition
1 August 2019, GlobeNewswire

Big Data Predictions: What 2020 Will Bring
23 December 2019, Datanami

GridGain Expands Support for Apache Ignite
8 February 2019, Datanami

provided by Google News

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