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DBMS > OpenTSDB vs. ReductStore vs. Splice Machine

System Properties Comparison OpenTSDB vs. ReductStore vs. Splice Machine

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Editorial information provided by DB-Engines
NameOpenTSDB  Xexclude from comparisonReductStore  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionScalable Time Series DBMS based on HBaseDesigned 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 DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteopentsdb.netgithub.com/­reductstore
www.reduct.store
splicemachine.com
Technical documentationopentsdb.net/­docs/­build/­html/­index.htmlwww.reduct.store/­docssplicemachine.com/­how-it-works
Developercurrently maintained by Yahoo and other contributorsReductStore LLCSplice Machine
Initial release201120232014
Current release1.9, March 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoLGPLOpen Source infoBusiness Source License 1.1Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, RustJava
Server operating systemsLinux
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenumeric data for metrics, strings for tagsyes
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.no
Secondary indexesnoyes
SQL infoSupport of SQLnoyes
APIs and other access methodsHTTP API
Telnet API
HTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesErlang
Go
Java
Python
R
Ruby
C++
JavaScript (Node.js)
Python
Rust
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoJava
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBaseShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standard

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More resources
OpenTSDBReductStoreSplice Machine
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