So you’ve got a PostgreSQL instance (maybe locally, maybe in Kubernetes, or it could be a cloud service like RDS or Timescale), and you’re ready to go. You fire up psql to start running queries… but your connection doesn’t work. This post examines the five most common connection errors in PostgreSQL and how you can solve them. Sorry, Too Many Clients Already This message is a classic, usually followed up with “remaining connection slots are reserved for non-replication superuser connections.” PostgreSQL has a limited number of connections to the database, controlled by the max_connections par ..read more

One of the biggest trends in software development today is the emergence of PostgreSQL as the de facto database standard. There have been a few blog posts on how to use PostgreSQL for Everything, but none yet on why this is happening (and more importantly, why this matters). Until now. PostgreSQL Is Becoming the De Facto Database Standard Over the past several months, “PostgreSQL for Everything” has become a growing war cry among developers:  “PostgreSQL isn’t just a simple relational database; it’s a data management framework with the potential to engulf the entire database realm. The t ..read more

There are a lot of ways to run interactive SQL queries on PostgreSQL, but I still find myself heavily relying on the built-in command line tool psql when I need to hack on some SQL. And apparently, I’m not alone. In the last State of PostgreSQL survey, psql was voted the most popular tool to connect to PostgreSQL. But psql isn’t a walk in the park. It comes with many built-in meta-commands that can make your life easier, but only if you know about them. A meta-command is anything you run in psql that starts with a backslash (in fact, they are often called slash commands), generally either run ..read more

Ingest performance is critical for many common PostgreSQL use cases, including application monitoring, application analytics, IoT monitoring, and more. These use cases have something in common: unlike standard relational "business" data, changes are treated as inserts, not overwrites. In other words, every new value becomes a new row in the database instead of replacing the row's prior value with the latest one. If you're operating in a scenario where you need to retain all data vs. overwriting past values, optimizing the speed at which your database can ingest new data becomes essential. In ..read more

In March 2022, we released early access to a highly requested feature: database replication in Timescale. One of our guiding principles as a company is that boring is awesome and that your database should be boring: we believe that you should be able to focus on your applications rather than on the infrastructure on which they’re running. Replicas is a feature commonly available in most databases, and we’re surfacing that functionality in an easy-to-use experience within Timescale. As with all things Timescale, we build on top of the proven functionality available in PostgreSQL, the foundatio ..read more

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

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

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

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

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