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DBMS > Badger vs. NSDb vs. OpenTSDB vs. TerarkDB

System Properties Comparison Badger vs. NSDb vs. OpenTSDB vs. TerarkDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonNSDb  Xexclude from comparisonOpenTSDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesScalable Time Series DBMS based on HBaseA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value storeTime Series DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitegithub.com/­dgraph-io/­badgernsdb.ioopentsdb.netgithub.com/­bytedance/­terarkdb
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgernsdb.io/­Architectureopentsdb.net/­docs/­build/­html/­index.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDGraph Labscurrently maintained by Yahoo and other contributorsByteDance, originally Terark
Initial release2017201720112016
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoLGPLcommercial inforestricted open source version available
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 languageGoJava, ScalaJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Linux
Windows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyes: int, bigint, decimal, stringnumeric data for metrics, strings for tagsno
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 indexesnoall fields are automatically indexednono
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsgRPC
HTTP REST
WebSocket
HTTP API
Telnet API
C++ API
Java API
Supported programming languagesGoJava
Scala
Erlang
Go
Java
Python
R
Ruby
C++
Java
Server-side scripts infoStored proceduresnononono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnonono

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More resources
BadgerNSDbOpenTSDBTerarkDB
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

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