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DBMS > Badger vs. Dgraph vs. FoundationDB vs. Informix

System Properties Comparison Badger vs. Dgraph vs. FoundationDB vs. Informix

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDgraph  Xexclude from comparisonFoundationDB  Xexclude from comparisonInformix  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Distributed and scalable native Graph DBMSOrdered key-value store. Core features are complimented by layers.A secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things data
Primary database modelKey-value storeGraph DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDB
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score17.12
Rank#34  Overall
#21  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerdgraph.iogithub.com/­apple/­foundationdbwww.ibm.com/­products/­informix
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdgraph.io/­docsapple.github.io/­foundationdbinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
DeveloperDGraph LabsDgraph Labs, Inc.FoundationDBIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.
Initial release2017201620131984
Current release6.2.28, November 202014.10.FC5, November 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0commercial infofree developer edition 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 languageGoGoC++C, C++ and Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-freeschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or datenoyesno infosome layers support typingyes infoSince Version 12.10 support for JSON/BSON datatypes
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 indexesnoyesnoyes
SQL infoSupport of SQLnonosupported in specific SQL layer onlyyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesGoC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoin SQL-layer onlyyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication via RaftyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynonoin SQL-layer onlyyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
User concepts infoAccess controlnono infoPlanned for future releasesnoUsers with fine-grained authentication, authorization, and auditing controls

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More resources
BadgerDgraphFoundationDBInformix
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