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DBMS > Badger vs. BigchainDB vs. FeatureBase vs. FoundationDB vs. HEAVY.AI

System Properties Comparison Badger vs. BigchainDB vs. FeatureBase vs. FoundationDB vs. HEAVY.AI

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonFoundationDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Ordered key-value store. Core features are complimented by layers.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelKey-value storeDocument storeRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.79
Rank#212  Overall
#36  Document stores
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.bigchaindb.comwww.featurebase.comgithub.com/­apple/­foundationdbgithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestdocs.featurebase.comapple.github.io/­foundationdbdocs.heavy.ai
DeveloperDGraph LabsMolecula and Pilosa Open Source ContributorsFoundationDBHEAVY.AI, Inc.
Initial release20172016201720132016
Current release2022, May 20226.2.28, November 20205.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL v3commercialOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoPythonGoC++C++ and CUDA
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
Linux
OS X
Windows
Linux
Data schemeschema-freeschema-freeyesschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or datenonoyesno 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.nononono
Secondary indexesnononono
SQL infoSupport of SQLnonoSQL queriessupported in specific SQL layer onlyyes
APIs and other access methodsCLI Client
RESTful HTTP API
gRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
Thrift
Vega
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
Java
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoin SQL-layer onlyno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryesyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoyesnofine grained access rights according to SQL-standard

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More resources
BadgerBigchainDBFeatureBaseFoundationDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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