DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

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

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

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHive  Xexclude from comparisonNewts  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 CassandraDistributed, high-performance timeseries database
Primary database modelKey-value storeRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#306  Overall
#46  Key-value stores
Score81.61
Rank#17  Overall
#11  Relational DBMS
Score0.00
Rank#354  Overall
#33  Time Series DBMS
Score0.11
Rank#310  Overall
#28  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerhive.apache.orgopennms.github.io/­newtsquasardb.net
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperDGraph LabsApache Software Foundation infoinitially developed by FacebookOpenNMS Groupquasardb
Initial release2017201220142009
Current release3.1.2, August 20193.13.3, April 2022
License infoCommercial or Open SourceOpen 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 servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeyesschema-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.nonono
Secondary indexesnoyesnoyes infowith tags
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
HTTP REST
Java API
HTTP API
Supported programming languagesGoC++
Java
PHP
Python
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
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.nonoyes infoTransient mode
User concepts infoAccess controlnoAccess rights for users, groups and rolesnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
BadgerHiveNewtsQuasardb
Specific characteristicsHigh-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesHigh performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosTick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersLarge EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsCommunity edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BadgerHiveNewtsQuasardb
DB-Engines blog posts

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

show all

Recent citations in the news

Dgraph raises $11.5 million for scalable graph database solutions
31 July 2019, VentureBeat

provided by Google News

SQL and Complex Queries Are Needed for Real-Time Analytics
18 April 2022, thenewstack.io

Top online courses to learn Apache Spark
5 May 2022, Analytics India Magazine

Starburst boosts data lake connections and fault tolerance
4 May 2022, TechTarget

Open-Source Database Software Market Size, Outlook, Strategies, Manufacturers, Type and Application, Global Forecast To 2029 – SMU Daily Mustang
15 May 2022, SMU Daily Mustang

New Incident Report Reveals How Hive Ransomware Targets Organizations
21 April 2022, The Hacker News

provided by Google News

Time Series Databases Software Market Size, Trends and Forecast to 2029 | InfluxDB, Kx Systems Inc., Prometheus, Amazon Web Service (AWS), Google, LLC, DataStax, SenX SAS, Trendalyze, QuasarDB – SMU Daily Mustang
14 May 2022, SMU Daily Mustang

Intermediate C# / SQL Developer at Datafin Recruitment
12 May 2022, IT-Online

Global Citizen Science Project Finds Over 1700 Asteroid Trails in Hubble Images – Parabolic Arc
9 May 2022, Parabolic Arc

Immune cell characteristics mapped across multiple tissues, from early life to adulthood — ScienceDaily
14 May 2022, Verve Times

QuestDB gets $12M Series A funding amid growing interest in time-series databases
3 November 2021, SiliconANGLE News

provided by Google News

Job opportunities

Big Data Developer
Cognizant, Cary, NC

Pyspark Developer
Cognizant, Hartford, CT

Hadoop Developer
Cognizant, Hartford, CT

Associate Data Lake Consultant
Amazon Web Services, Inc., Remote

Associate Data Lake Consultant
Amazon Web Services, Inc., New York, NY

jobs by Indeed



Share this page

Featured Products

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

Redis logo

The world’s most loved real‑time data platform.
Try free

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here