Time-Series Forecasting With TimescaleDB and Prophet
Timescale Blog
by Junaid Ahmed
4d ago
Time-series forecasting is a cornerstone element of data analysis for all organizations, developers, or analysts looking to better understand the world around them through data. It enables the prediction of trends in stock markets, product demand, or even forecasting climate patterns with almost complete accuracy. All you need is the right set of tools to implement it.  In this tutorial, we’ll explore time-series forecasting with TimescaleDB and Prophet: two tools that, when brought together, can simplify and enable efficient data analysis. But these tools are not just about data analyti ..read more
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Building the Best PostgreSQL GUI: Announcing Our Acquisition of PopSQL
Timescale Blog
by Ajay Kulkarni
1w ago
The PopSQL team joins Timescale to help build the best PostgreSQL developer experience for the cloud era. Today we are announcing that Timescale has acquired PopSQL, the modern SQL editor, collaboration, and visualization tool for developers and data teams. We're excited to welcome PopSQL’s founder, Rahil Sondhi, and the PopSQL team to Timescale. PopSQL is the SQL editor for team collaboration With this acquisition, Timescale customers can now query their databases entirely in the browser or via desktop app; easily create visual dashboards on top of their databases; keep a history of past que ..read more
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Self-Hosted or Cloud Database? A Countryside Reflection on Infrastructure Choices
Timescale Blog
by Jônatas Davi Paganini
1w ago
The choice between using a cloud database or opting for a self-managed setup is critical for every developer as it affects the entire framework through which an organization processes its data. Funny enough, nothing has taught me more invaluable lessons about infrastructure than living in the countryside for the past four years. These experiences have shaped my mindset about what I prefer to manage myself and what I’d rather have as a service. Much like my countryside life, which has the benefits and drawbacks of managing one's infrastructure versus relying on external services, this article ..read more
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Refining Vector Search Queries With Time Filters in pgvector: A Tutorial
Timescale Blog
by John Pruitt
1w ago
Vector databases have emerged as a powerful solution for working with high-dimensional data. These databases store vectors and perform vector searches. A vector is an array of numbers representing a data point in a multi-dimensional space, and vector search finds the most similar vectors to a query vector in this space. Vector search capabilities are powerful in machine learning and artificial intelligence, where traditional text-based search falls short. Refining vector search queries becomes increasingly essential as data grows in volume. This is where time filters come into play. Time-base ..read more
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Adapting JSON Structures for Real-Time Aggregates: A Community Solution
Timescale Blog
by Jônatas Davi Paganini
2w ago
When you’re handling large volumes of data and multiple aggregations simultaneously, having flexible and efficient data structures is key. In a recent chat in the Timescale Community Slack, Dustin Sorensen, technical lead at Energy Toolbase (and this post’s guest collaborator), shared how you can work with array or JSONB columns and real-time data aggregations.  We’ll walk you through his clever solution for efficiently managing and aggregating data from multiple sensors or IoT devices without the need to create a dedicated column for each sensor. As a developer advocate and community ma ..read more
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Looking at States and Dwell Time With Hyperfunctions
Timescale Blog
by James Blackwood-Sewell
2w ago
Five years ago, while working at a consulting company in Australia, I posted a question to the Timescale Slack. The question went unanswered (I think I actually talked to a Timescaler about this in a DM); I implemented a solution in my application, and time quickly moved on. Fast forward five years. I’d completely forgotten about my question—but it turns out the Internet doesn’t forget! Two months ago, a new Timescale user had the same problem, found the thread, and replied to see if anybody had worked out a solution! Taking a quick step back, the problem here is looking at a series of stat ..read more
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Solving the Challenges of Counter Metrics and Resets in PostgreSQL/TimescaleDB
Timescale Blog
by Jônatas Davi Paganini
2w ago
Hey there! If you work with time-series data, especially with network device metrics or any scenario involving counters, you've probably encountered a few hurdles. I've been there, sifting through heaps of data, trying to make sense of counter metrics, and dealing with the inevitable resets and gaps.  Today, I'll walk you through how I tackle these challenges using PostgreSQL/TimescaleDB, focusing on the power of continuous aggregates (which work like automatically refreshed materialized views) and handling counter resets like a pro. Let's dive straight into the nitty-gritty. The Challen ..read more
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Data Visualization in PostgreSQL With Apache Superset
Timescale Blog
by Muhammad Ali Iqbal
3w ago
Data visualization transforms data into graphical representations such as charts and graphs, making it easier to understand complex information quickly. This helps analysts and stakeholders to identify trends, outliers, and patterns, leading to informed decisions and insights.  For data visualization with PostgreSQL, both paid and open-source tools are available. In this blog post, we quickly introduce some of them and then show you how to visualize data using Apache Superset and PostgreSQL. ➡️ Want to learn more about how to build your application using PostgreSQL/Timescale? Be sure to ..read more
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How We Made Real-Time Data Aggregation in Postgres Faster by 50,000%
Timescale Blog
by Fabrízio de Royes Mello
3w ago
Many PostgreSQL users come across materialized views when attempting to speed up their queries through data aggregation. While PostgreSQL materialized views function similarly to query aliases by storing results on disk for faster query performance, they can quickly become outdated. As a result, manual refreshing—accomplished via REFRESH MATERIALIZED VIEW [materialized view name];—is necessary whenever new data is inserted, deleted, or updated in the database to maintain their accuracy.  Having built TimescaleDB on PostgreSQL, we devised a feature to prevent developers from dealing with ..read more
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How We Are Building a Self-Sustaining Open-Source Business in the Cloud Era
Timescale Blog
by Ajay Kulkarni
1M ago
Back in 2018, Timescale first announced how we planned to build a self-sustaining open-source business in the cloud era and that we had started developing features under a new, source-available license called the Timescale License (TSL). At the time, the TSL was a radical idea: a source-available license that was open-source in spirit but that contained a main restriction: preventing companies from offering software licensed under the TSL via a hosted database-as-a-service. We added this restriction, which only applies to <0.0001 % of all possible TimescaleDB users, to enable us to bu ..read more
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