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DBMS > FoundationDB vs. GigaSpaces vs. Ingres vs. WakandaDB

System Properties Comparison FoundationDB vs. GigaSpaces vs. Ingres vs. WakandaDB

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonIngres  Xexclude from comparisonWakandaDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsWell established RDBMSWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMSObject oriented DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegithub.com/­apple/­foundationdbwww.gigaspaces.comwww.actian.com/­databases/­ingreswakanda.github.io
Technical documentationapple.github.io/­foundationdbdocs.gigaspaces.com/­latest/­landing.htmldocs.actian.com/­ingreswakanda.github.io/­doc
DeveloperFoundationDBGigaspaces TechnologiesActian CorporationWakanda SAS
Initial release201320001974 infooriginally developed at University Berkely in early 1970s2012
Current release6.2.28, November 202015.5, September 202012.0, July 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .NetCC++, JavaScript
Server operating systemsLinux
OS X
Windows
Linux
macOS
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-free infosome layers support schemasschema-freeyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesyes
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.no infoXML can be used for describing objects metadatano infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnoyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-99 for query and DML statementsyesno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
RESTful HTTP API
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C++
Java
Python
Scala
JavaScript
Server-side scripts infoStored proceduresin SQL-layer onlyyesyesyes
Triggersnoyes, event driven architectureyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Ingres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
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.yesnono
User concepts infoAccess controlnoRole-based access controlfine grained access rights according to SQL-standardyes

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More resources
FoundationDBGigaSpacesIngresWakandaDB
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