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DBMS > Badger vs. ClickHouse vs. Heroic

System Properties Comparison Badger vs. ClickHouse vs. Heroic

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonClickHouse  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Column-oriented Relational DBMS powering YandexTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelKey-value storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#297  Overall
#47  Key-value stores
Score3.38
Rank#81  Overall
#41  Relational DBMS
Score0.19
Rank#254  Overall
#17  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerclickhouse.yandexspotify.github.io/­heroic/­#!/­index
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerclickhouse.yandex/­docsspotify.github.io/­heroic/­#!/­docs/­overview
DeveloperDGraph LabsYandex LLCSpotify
Initial release201720162014
Current releasev19.13.3.26, August 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or datenoyes
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.nono
Secondary indexesnoyes infovia Elasticsearch
SQL infoSupport of SQLnono
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesGo
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlno

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More resources
BadgerClickHouseHeroic
Recent citations in the news

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

provided by Google News

Time Series Databases, the Future of Monitoring and Logging
3 December 2019, Security Boulevard

From Russia with OLAP: Percona uses ClickHouse analytics - Open Source Insider
10 October 2019, ComputerWeekly.com

Cloud Native Computing Foundation Continues Tremendous Growth, Surpassing 500 Members
19 November 2019, Container Journal

Data Monoliths Go Cloud-Native with Kubernetes
31 October 2019, DevOps.com

ClickHouse Experiencing Explosive Growth in EU, US and Asia in Q1 2018
23 April 2018, PR Newswire

provided by Google News

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