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DBMS > BigchainDB vs. OpenTSDB vs. Prometheus vs. SiteWhere

System Properties Comparison BigchainDB vs. OpenTSDB vs. Prometheus vs. SiteWhere

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonOpenTSDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable Time Series DBMS based on HBaseOpen-source Time Series DBMS and monitoring systemM2M integration platform for persisting/querying time series data
Primary database modelDocument storeTime Series DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.bigchaindb.comopentsdb.netprometheus.iogithub.com/­sitewhere/­sitewhere
Technical documentationbigchaindb.readthedocs.io/­en/­latestopentsdb.net/­docs/­build/­html/­index.htmlprometheus.io/­docssitewhere1.sitewhere.io/­index.html
Developercurrently maintained by Yahoo and other contributorsSiteWhere
Initial release2016201120152010
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoLGPLOpen Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0
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 languagePythonJavaGoJava
Server operating systemsLinuxLinux
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyespredefined scheme
Typing infopredefined data types such as float or datenonumeric data for metrics, strings for tagsNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesnonono
SQL infoSupport of SQLnononono
APIs and other access methodsCLI Client
RESTful HTTP API
HTTP API
Telnet API
RESTful HTTP/JSON APIHTTP REST
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Erlang
Go
Java
Python
R
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBaseShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on HBaseyes infoby Federationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infobased on HBasenoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlyesnonoUsers with fine-grained authorization concept

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More resources
BigchainDBOpenTSDBPrometheusSiteWhere
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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