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DBMS > Hyprcubd vs. NSDb vs. OpenTSDB vs. Prometheus

System Properties Comparison Hyprcubd vs. NSDb vs. OpenTSDB vs. Prometheus

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonNSDb  Xexclude from comparisonOpenTSDB  Xexclude from comparisonPrometheus  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesScalable Time Series DBMS based on HBaseOpen-source Time Series DBMS and monitoring system
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score1.59
Rank#140  Overall
#12  Time Series DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Websitehyprcubd.com (offline)nsdb.ioopentsdb.netprometheus.io
Technical documentationnsdb.io/­Architectureopentsdb.net/­docs/­build/­html/­index.htmlprometheus.io/­docs
DeveloperHyprcubd, Inc.currently maintained by Yahoo and other contributors
Initial release201720112015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoLGPLOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ScalaJavaGo
Server operating systemshostedLinux
macOS
Linux
Windows
Linux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyes: int, bigint, decimal, stringnumeric data for metrics, strings for tagsNumeric data only
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.nononono infoImport of XML data possible
Secondary indexesnoall fields are automatically indexednono
SQL infoSupport of SQLSQL-like query languageSQL-like query languagenono
APIs and other access methodsgRPC (https)gRPC
HTTP REST
WebSocket
HTTP API
Telnet API
RESTful HTTP/JSON API
Supported programming languagesJava
Scala
Erlang
Go
Java
Python
R
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnononono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBaseyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency infobased on HBasenone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controltoken accessnono

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More resources
HyprcubdNSDbOpenTSDBPrometheus
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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