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DBMS > Firebolt vs. FoundationDB vs. GridGain

System Properties Comparison Firebolt vs. FoundationDB vs. GridGain

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonFoundationDB  Xexclude from comparisonGridGain  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseOrdered key-value store. Core features are complimented by layers.GridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Websitewww.firebolt.iogithub.com/­apple/­foundationdbwww.gridgain.com
Technical documentationdocs.firebolt.ioapple.github.io/­foundationdbwww.gridgain.com/­docs/­index.html
DeveloperFirebolt Analytics Inc.FoundationDBGridGain Systems, Inc.
Initial release202020132007
Current release6.2.28, November 2020GridGain 8.5.1
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .Net
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyes
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
Secondary indexesyesnoyes
SQL infoSupport of SQLyessupported in specific SQL layer onlyANSI-99 for query and DML statements, subset of DDL
APIs and other access methods.Net
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesGo
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoin SQL-layer onlyyes (compute grid and cache interceptors can be used instead)
Triggersnonoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyno
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 controlnoSecurity Hooks for custom implementations

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More resources
FireboltFoundationDBGridGain
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