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DBMS > Badger vs. OpenTSDB vs. SiteWhere vs. Yaacomo

System Properties Comparison Badger vs. OpenTSDB vs. SiteWhere vs. Yaacomo

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable Time Series DBMS based on HBaseM2M integration platform for persisting/querying time series dataOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value storeTime Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgeropentsdb.netgithub.com/­sitewhere/­sitewhereyaacomo.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgeropentsdb.net/­docs/­build/­html/­index.htmlsitewhere1.sitewhere.io/­index.html
DeveloperDGraph Labscurrently maintained by Yahoo and other contributorsSiteWhereQ2WEB GmbH
Initial release2017201120102009
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoLGPLOpen Source infoCommon Public Attribution License Version 1.0commercial
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 languageGoJavaJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Android
Linux
Windows
Data schemeschema-freeschema-freepredefined schemeyes
Typing infopredefined data types such as float or datenonumeric data for metrics, strings for tagsyesyes
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 indexesnononoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsHTTP API
Telnet API
HTTP RESTJDBC
ODBC
Supported programming languagesGoErlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresnono
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on HBaseSharding infobased on HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on HBaseselectable replication factor infobased on HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infobased on HBaseImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlnonoUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
BadgerOpenTSDBSiteWhereYaacomo
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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