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

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

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Editorial information provided by DB-Engines
NameOpenTSDB  Xexclude from comparisonPrometheus  Xexclude from comparisonReductStore  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionScalable Time Series DBMS based on HBaseOpen-source Time Series DBMS and monitoring systemDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteopentsdb.netprometheus.iogithub.com/­reductstore
www.reduct.store
splicemachine.com
Technical documentationopentsdb.net/­docs/­build/­html/­index.htmlprometheus.io/­docswww.reduct.store/­docssplicemachine.com/­how-it-works
Developercurrently maintained by Yahoo and other contributorsReductStore LLCSplice Machine
Initial release2011201520232014
Current release1.9, March 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoLGPLOpen Source infoApache 2.0Open Source infoBusiness Source License 1.1Open 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 languageJavaGoC++, RustJava
Server operating systemsLinux
Windows
Linux
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenumeric 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.nono infoImport of XML data possible
Secondary indexesnonoyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsHTTP API
Telnet API
RESTful HTTP/JSON APIHTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesErlang
Go
Java
Python
R
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C++
JavaScript (Node.js)
Python
Rust
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 nodesSharding infobased on HBaseShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBaseyes infoby FederationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infobased on HBasenoneImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnonoAccess rights for users, groups and roles according to SQL-standard

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More resources
OpenTSDBPrometheusReductStoreSplice Machine
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