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DBMS > OpenTSDB vs. RocksDB vs. Valentina Server

System Properties Comparison OpenTSDB vs. RocksDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameOpenTSDB  Xexclude from comparisonRocksDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionScalable Time Series DBMS based on HBaseEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Object-relational database and reports server
Primary database modelTime Series DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.58
Rank#143  Overall
#12  Time Series DBMS
Score3.05
Rank#88  Overall
#12  Key-value stores
Score0.16
Rank#320  Overall
#142  Relational DBMS
Websiteopentsdb.netrocksdb.orgwww.valentina-db.net
Technical documentationopentsdb.net/­docs/­build/­html/­index.htmlgithub.com/­facebook/­rocksdb/­wikivalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Developercurrently maintained by Yahoo and other contributorsFacebook, Inc.Paradigma Software
Initial release201120131999
Current release9.4.0, June 20245.7.5
License infoCommercial or Open SourceOpen Source infoLGPLOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenumeric data for metrics, strings for tagsnoyes
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
Secondary indexesnonoyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsHTTP API
Telnet API
C++ API
Java API
ODBC
Supported programming languagesErlang
Go
Java
Python
R
Ruby
C
C++
Go
Java
Perl
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes
Concurrency infoSupport for concurrent manipulation of datayesyes
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.noyesyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standard

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More resources
OpenTSDBRocksDBValentina Server
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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Recent citations in the news

A real-time processing revival
1 April 2015, oreilly.com

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Kioxia Demonstrates Flexible Data Placement-Enabled SSD Running RocksDB at 2024 OCP Global Summit
15 October 2024, Business Wire

Correcting And Replacing Kioxia Demonstrates Flexible Data Placement-Enabled SSD Running RocksDB at 2024 OCP Global Summit
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KIOXIA Demonstrates Flexible Data Placement-Enabled SSD Running RocksDB at 2024 OCP Global Summit
14 October 2024, Business Wire

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