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DBMS > Badger vs. FoundationDB vs. Hive vs. Newts vs. Quasardb

System Properties Comparison Badger vs. FoundationDB vs. Hive vs. Newts vs. Quasardb

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFoundationDB  Xexclude from comparisonHive  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Ordered key-value store. Core features are complimented by layers.data warehouse software for querying and managing large distributed datasets, built on HadoopTime Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelKey-value storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­apple/­foundationdbhive.apache.orgopennms.github.io/­newtsquasar.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerapple.github.io/­foundationdbcwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperDGraph LabsFoundationDBApache Software Foundation infoinitially developed by FacebookOpenNMS Groupquasardb
Initial release20172013201220142009
Current release6.2.28, November 20203.1.3, April 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++JavaJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeschema-free infosome layers support schemasyesschema-freeschema-free
Typing infopredefined data types such as float or datenono infosome layers support typingyesyesyes infointeger and binary
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.nonono
Secondary indexesnonoyesnoyes infowith tags
SQL infoSupport of SQLnosupported in specific SQL layer onlySQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
HTTP REST
Java API
HTTP API
Supported programming languagesGo.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Java
PHP
Python
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoin SQL-layer onlyyes infouser defined functions and integration of map-reducenono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factorselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneLinearizable consistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlnonoAccess rights for users, groups and rolesnoCryptographically strong user authentication and audit trail

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More resources
BadgerFoundationDBHiveNewtsQuasardb
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