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DBMS > OpenTSDB vs. Spark SQL vs. TempoIQ

System Properties Comparison OpenTSDB vs. Spark SQL vs. TempoIQ

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Editorial information provided by DB-Engines
NameOpenTSDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionScalable Time Series DBMS based on HBaseSpark SQL is a component on top of 'Spark Core' for structured data processingScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#147  Overall
#12  Time Series DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websiteopentsdb.netspark.apache.org/­sqltempoiq.com (offline)
Technical documentationopentsdb.net/­docs/­build/­html/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
Developercurrently maintained by Yahoo and other contributorsApache Software FoundationTempoIQ
Initial release201120142012
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoLGPLOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemsLinux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenumeric data for metrics, strings for tagsyesyes
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
Secondary indexesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP API
Telnet API
JDBC
ODBC
HTTP API
Supported programming languagesErlang
Go
Java
Python
R
Ruby
Java
Python
R
Scala
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersnonoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBaseyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonono
User concepts infoAccess controlnonosimple authentication-based access control

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More resources
OpenTSDBSpark SQLTempoIQ infoformerly TempoDB
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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