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

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

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHive  Xexclude from comparisonNewts  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.data warehouse software for querying and managing large distributed datasets, built on HadoopTime Series DBMS based on CassandraJavaScript DBMS with an API inspired by CouchDBDistributed, high-performance timeseries database
Primary database modelKey-value storeRelational DBMSTime Series DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score2.35
Rank#116  Overall
#22  Document stores
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerhive.apache.orgopennms.github.io/­newtspouchdb.comquasar.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­OpenNMS/­newts/­wikipouchdb.com/­guidesdoc.quasar.ai/­master
DeveloperDGraph LabsApache Software Foundation infoinitially developed by FacebookOpenNMS GroupApache Software Foundationquasardb
Initial release20172012201420122009
Current release3.1.3, April 20227.1.1, June 20193.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache 2.0Open Sourcecommercial 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 languageGoJavaJavaJavaScriptC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesnoyes 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 indexesnoyesnoyes infovia viewsyes infowith tags
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnonoSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
HTTP REST
Java API
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP API
Supported programming languagesGoC++
Java
PHP
Python
JavaJavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenoView functions in JavaScriptno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-loungeSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorselectable replication factor infobased on CassandraMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoTransient mode
User concepts infoAccess controlnoAccess rights for users, groups and rolesnonoCryptographically strong user authentication and audit trail

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BadgerHiveNewtsPouchDBQuasardb
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