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DBMS > FoundationDB vs. Geode vs. IRONdb vs. Valentina Server

System Properties Comparison FoundationDB vs. Geode vs. IRONdb vs. Valentina Server

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGeode  Xexclude from comparisonIRONdb  Xexclude from comparisonValentina Server  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityObject-relational database and reports server
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitegithub.com/­apple/­foundationdbgeode.apache.orgwww.circonus.com/solutions/time-series-database/www.valentina-db.net
Technical documentationapple.github.io/­foundationdbgeode.apache.org/­docsdocs.circonus.com/irondb/category/getting-startedvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperFoundationDBOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Circonus LLC.Paradigma Software
Initial release2013200220171999
Current release6.2.28, November 20201.1, February 2017V0.10.20, January 20185.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC and C++
Server operating systemsLinux
OS X
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux
OS X
Windows
Data schemeschema-free infosome layers support schemasschema-freeschema-freeyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyes infotext, numeric, histogramsyes
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.nono
Secondary indexesnononoyes
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-like query language (OQL)SQL-like query language (Circonus Analytics Query Language: CAQL)yes
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
HTTP APIODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresin SQL-layer onlyuser defined functionsyes, in Luayes
Triggersnoyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityin SQL-layer onlynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnoAccess rights per client and object definablenofine grained access rights according to SQL-standard

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More resources
FoundationDBGeodeIRONdbValentina Server
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