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DBMS > BigchainDB vs. OpenTSDB vs. Prometheus vs. Splice Machine

System Properties Comparison BigchainDB vs. OpenTSDB vs. Prometheus vs. Splice Machine

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonOpenTSDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSplice Machine  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 systemOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeTime Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#216  Overall
#36  Document stores
Score1.59
Rank#140  Overall
#12  Time Series DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitewww.bigchaindb.comopentsdb.netprometheus.iosplicemachine.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestopentsdb.net/­docs/­build/­html/­index.htmlprometheus.io/­docssplicemachine.com/­how-it-works
Developercurrently maintained by Yahoo and other contributorsSplice Machine
Initial release2016201120152014
Current release3.1, March 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoLGPLOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license 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 languagePythonJavaGoJava
Server operating systemsLinuxLinux
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
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 possible
Secondary indexesnonoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsCLI Client
RESTful HTTP API
HTTP API
Telnet API
RESTful HTTP/JSON APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Erlang
Go
Java
Python
R
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBaseShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on HBaseyes infoby FederationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infobased on HBasenoneImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.nonoyes
User concepts infoAccess controlyesnonoAccess rights for users, groups and roles according to SQL-standard

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More resources
BigchainDBOpenTSDBPrometheusSplice Machine
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