DBMS > TimescaleDB
TimescaleDB System Properties
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|Editorial information provided by DB-Engines|
|Description||A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL|
|Primary database model||Time Series DBMS|
|Secondary database models||Relational DBMS|
|License Commercial or Open Source||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Server operating systems||Linux|
|Typing predefined data types such as float or date||numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes|
|SQL Support of SQL||yes full PostgreSQL SQL syntax|
|APIs and other access methods||ADO.NET|
native C library
streaming API for large objects
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell|
|Partitioning methods Methods for storing different data on different nodes||yes, across time and space (hash partitioning) attributes|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication with hot standby and reads on replicas|
|MapReduce Offers an API for user-defined Map/Reduce methods||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency|
|Foreign keys Referential integrity||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID|
|Concurrency Support for concurrent manipulation of data||yes|
|Durability Support for making data persistent||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no|
|User concepts Access control||fine grained access rights according to SQL-standard|
|More information provided by the system vendor|
Timescale is the creator of TimescaleDB, the first open-source relational database for time-series data. TimescaleDB offers the reliability, flexibility, ease-of-use, and scalability that applications, data analytics infrastructure, and complex systems require.
All data is time-series data. Time-series data captures how information changes over time - website and infrastructure performance, financial tick data, and more - and TimescaleDB is the only relational database built with the performance, scalability, and reliability to store these relentless streams of data.
Developers choose hosted TimescaleDB for many reasons:
Relational and time-series, together
TimescaleDB is purpose-built to scale and handle time-series data workloads and is intentionally designed as a PostgreSQL extension.
Additionally, with fully managed (cloud), self-managed, and open source versions, developers can opt for the solution that works for their needs.
TimescaleDB is a category-defining time-series database for many reasons, including features like:
TimescaleDB combines the reliability and tooling of PostgreSQL with enterprise-grade security, production-ready SLAs, and community-based and professional support services.
TimescaleDB is also flexible and customizable, supporting thousands of extensions, products, and integrations critical for data analysis, including: Tableau, Looker, Mode, Grafana, PowerBI, Apache Kafka, RabbitMQ, Apache Spark, Prometheus, Zabbix, JDBC/ODBC, Telegraf, and more.
|Typical application scenarios|
DevOps and Infrastructure Monitoring
All monitoring data is time-series data. Efficiently finding and addressing infrastructure and application issues is a time-series problem. TimescaleDB helps you cost-effectively store and analyze data at scale to identify and predict performance anomalies and service outages, conduct post-mortems, and plan for future capacity needs. Whether you’re collecting home-grown monitoring data, Prometheus metrics, Kubernetes events, logs, or custom metrics, TimescaleDB enables you to measure what matters.
Customer and Internal-facing SaaS applications and Data Pipelines
Product data is time-series data. Quickly understanding how your product is used over time, segmenting your customer base, and making product and business decisions is a time-series problem. Or use TimescaleDB to drive user-facing dashboards and analytics when your product is time-series data. TimescaleDB can store all of your application metrics at a fraction of the cost of an analytics service. Timescale gives you all the reliability and flexibility of PostgreSQL, meaning you can use full SQL to construct queries to better understand your products and delight your users.
IoT, Industrial Machine, and Sensor Data
Device and sensor data is time-series data. Tracking device performance with pinpoint geospatial and temporal accuracy is a time-series problem. TimescaleDB helps you cost-effectively store and analyze relentless streams of device telemetry and sensor readings at scale, in order to manage industrial equipment maintenance, fleet management, asset tracking, route planning, yield optimization, oil and gas production, and more.
Financial data is time-series data. Understanding market and tick data accurately and combining that data with other sources of information is a time-series problem and the foundation of modern financial analysis. TimescaleDB is PostgreSQL with superpowers, meaning you can easily track your time-series tick data, order books, and other market data in a proven database with rock-solid reliability, and correlate it with other relational data.
TransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco, Nutanix, Warner Music Group, Bosch, Uptake, Samsung, Northvolt, Siemens, Schneider Electric, Attentive, Zabbix, Ambient.ai, Embark, FlipsideCrypto, Nightfall, Charter Communications, and more.
With over 9,000 GitHub stars and growing, 600,000 active databases, and an active Slack community, TimescaleDB is trusted by developers and teams around the world.
|Licensing and pricing models|
TimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*, licensed under Apache 2 and Timescale License (TSL).
*Timescale offers hosted TimescaleDB options starting at $49/month.
|Related products and services|
|ClusterControl: the only management system you’ll ever need to take control of your open source database infrastructure.|
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Recent citations in the news|
Timescale Brings Powerful Time-Series Data Analysis to Developers Worldwide, Now Available in 75+ Cloud Regions
TimescaleDB Delivers Another Option for Time-Series Analytics
It’s About Time For Time Series Databases
Timescale Database Now Available in 76 Cloud Regions
provided by Google News
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