TimescaleDB

TimescaleDB is an open-source time-series database built on PostgreSQL, designed to handle large volumes of time-stamped data efficiently. It extends PostgreSQL with time-series capabilities, offering features like automatic partitioning, built-in support for complex queries, and advanced analytics functions. TimescaleDB is optimized for fast data ingestion and complex queries, making it suitable for use cases such as IoT monitoring, financial data analysis, and application metrics.

Howdy Network Rank#201
*Survey of over 20,000+ Howdy Professionals
Explore the Howdy Skills GlossaryLoading animation

About TimescaleDB

TimescaleDB was created in 2017 by Timescale Inc. It emerged to address the growing need for a robust time-series database that could leverage the reliability and ecosystem of PostgreSQL. The creators aimed to provide a solution capable of handling large volumes of time-stamped data with high performance, particularly for applications in IoT, monitoring, and analytics. The development focused on extending PostgreSQL's capabilities to efficiently manage and query time-series data.

Strengths of TimescaleDB include its seamless integration with PostgreSQL, scalability for large time-series data, and powerful query capabilities. Weaknesses may involve complexity in setup for beginners and potential performance issues with extremely high write loads. Competitors include InfluxDB, Prometheus, and Apache Druid, each offering different strengths in time-series data handling and analytics.

Hire TimescaleDB Experts

Work with Howdy to gain access to the top 1% of LatAM Talent.

Share your Needs icon

Share your Needs

Talk requirements with a Howdy Expert.

Choose Talent icon

Choose Talent

We'll provide a list of the best candidates.

Recruit Risk Free icon

Recruit Risk Free

No hidden fees, no upfront costs, start working within 24 hrs.

How to hire a TimescaleDB expert

A TimescaleDB expert must have strong proficiency in SQL and PostgreSQL, including understanding its extensions and optimizations. They should be skilled in designing and managing time-series databases, including schema design and partitioning strategies. Knowledge of data ingestion techniques, query optimization, and performance tuning specific to time-series data is essential. Familiarity with using TimescaleDB's advanced features such as continuous aggregates and hyperfunctions is also important. Additionally, experience with monitoring tools and performance analysis would be beneficial.

Hire Howdy Experts
Image of Tharcius V.

Tharcius V.

Back-end and Systems Engineer
Vue.js
Ruby On Rails
Laravel
Cascading Style Sheets
Cakephp
Github
Html
Javascript
Php
Postgresql
Hire Tharcius

The best of the best optimized for your budget.

Thanks to our Cost Calculator, you can estimate how much you're saving when hiring top global talent with no middlemen or hidden fees.

USA Flag

USA

Howdy
$ 97K
$ 127K
$ 54K
$ 73K

$ 224K

Employer Cost

$ 127K

Employer Cost

Howdy savings:

$ 97K

Benefits + Taxes + Fees

Salary

*Estimations are based on information from Glassdoor, salary.com and live Howdy data.

We use cookies on our website to see how you interact with it. By allowing them, you agree to our use of cookies. 

Privacy Policy