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DBMS > Amazon Redshift vs. OpenTSDB

System Properties Comparison Amazon Redshift vs. OpenTSDB

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Our visitors often compare Amazon Redshift and OpenTSDB with ClickHouse, Microsoft Azure Cosmos DB and HBase.

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonOpenTSDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsScalable Time Series DBMS based on HBase
Primary database modelRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websiteaws.amazon.com/­redshiftopentsdb.net
Technical documentationdocs.aws.amazon.com/­redshiftopentsdb.net/­docs/­build/­html/­index.html
DeveloperAmazon (based on PostgreSQL)currently maintained by Yahoo and other contributors
Initial release20122011
License infoCommercial or Open SourcecommercialOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemshostedLinux
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesnumeric data for metrics, strings for tags
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 indexesrestrictedno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardno
APIs and other access methodsJDBC
ODBC
HTTP API
Telnet API
Supported programming languagesAll languages supporting JDBC/ODBCErlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
Amazon RedshiftOpenTSDB
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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Time Series DBMS are the database category with the fastest increase in popularity
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Recent citations in the news

Revolutionizing data querying: Amazon Redshift and Visual Studio Code integration | Amazon Web Services
2 May 2024, AWS Blog

Amazon Redshift adds new AI capabilities, including Amazon Q, to boost efficiency and productivity | Amazon Web ...
29 November 2023, AWS Blog

Power analytics as a service capabilities using Amazon Redshift | Amazon Web Services
17 April 2024, AWS Blog

Best practices to implement near-real-time analytics using Amazon Redshift Streaming Ingestion with Amazon MSK ...
11 March 2024, AWS Blog

How BMO improved data security with Amazon Redshift and AWS Lake Formation | Amazon Web Services
1 March 2024, AWS Blog

provided by Google News

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

Brain Monitoring with Kafka, OpenTSDB, and Grafana
5 August 2016, KDnuggets

MapR to help admins peer into dense Hadoop clusters
28 June 2016, SiliconANGLE News

LogicMonitor Rolls a Time Series Database for Finer-Grain Reporting
1 June 2016, The New Stack

A real-time processing revival – O'Reilly
1 April 2015, O'Reilly Media

provided by Google News



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