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DBMS > Badger vs. gStore vs. Newts vs. Quasardb

System Properties Comparison Badger vs. gStore vs. Newts vs. Quasardb

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisongStore  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A native Graph DBMS to store and maintain very large RDF datasets.Time Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelKey-value storeGraph DBMS
RDF store
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgeren.gstore.cnopennms.github.io/­newtsquasar.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgeren.gstore.cn/­#/­enDocsgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperDGraph LabsOpenNMS Groupquasardb
Initial release2017201620142009
Current release1.2, November 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDOpen 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 servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++JavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema supportschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesyes 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.nononono
Secondary indexesnonoyes infowith tags
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methodsHTTP API
SPARQL 1.1
HTTP REST
Java API
HTTP API
Supported programming languagesGoC++
Java
JavaScript (Node.js)
PHP
Python
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoTransient mode
User concepts infoAccess controlnoUsers, roles and permissions, Role-Based Access Control (RBAC) supportednoCryptographically strong user authentication and audit trail

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More resources
BadgergStoreNewtsQuasardb
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