Your organization may have many reasons to move a cloud service from one provider to another. Maybe you’ve found a better performance-versus-cost balance elsewhere. Maybe you’re trying to avoid vendor lock-in. Whatever your reasons, the convenience and general interoperability of cloud services today put you in the driver's seat. You get to piece together the tech stack and the cloud provider(s) that best align with your business.

This includes where you turn for your PostgreSQL database.

If you’re considering migrating your Postgres database to a different cloud provider, such as Heroku, the process might seem daunting. You’re concerned about the risk of data loss or the impact of...

We’re thrilled to launch our new Heroku Postgres Essential database plans. These plans have pgvector support, no row count limits, and come with a 32 GB option. We deliver exceptional transactional query performance with Amazon Aurora as the backing infrastructure. One of our beta customers said:

“The difference was noticeable right from the start. Heroku Postgres running on Aurora delivered a boost in speed, allowing us to query and process our data faster.”

Our Heroku Postgres Essential plans are the quickest, easiest, and most economical way to integrate a SQL database with your Heroku application. You can use these fully managed databases for a wide range of applications, such as...

We’re pleased to introduce the pgvector extension on Heroku Postgres. In an era where large language models (LLMs) and AI applications are paramount, pgvector provides the essential capability for performing high-dimensional vector similarity searches. This allows Heroku Postgres to quickly find similar data points in complex data, which is great for applications like recommendation systems and prompt engineering for LLMs. As of today, pgvector is fully compatible with all Production-tier databases running Postgres 15 at no additional charge and you can get started with a simple CREATE EXTENSION vector; command in your client session. In this post, we look at how you can use pgvector and...

Every entrepreneur wonders: “Will my startup sink or swim?” When Felix Brandon and his wife Jordan Lloyd Bookey launched Zoobean, a startup focused on children’s reading, they found themselves swimming in rough waters early on. A few months after launch, the founders were invited to pitch their business on the TV show Shark Tank.

What felt like a sinking moment turned into more than a lifeline for the fledgling business — it entirely transformed their business model. In the year that followed the Shark Tank episode, Zoobean went from a consumer subscription service to an enterprise reading program platform loved by millions of readers of all ages.

From the mouths of babes to the...

We are excited to announce that we are moving Connection Pooling for Heroku Postgres into GA. Connection Pooling unlocks the ability to use up to 10,000 client connections to a Heroku Postgres Database, without adversely impacting performance on the database. This will unlock more complex and higher scale applications with simpler architectures on the Heroku Platform.

Over the years, one of the factors that you have to consider when scaling applications is pressure on the database. Each connection to the database consumes resources that could be spent on processing requests. The balancing of resources spent on connections and processing is a delicate one that Heroku Engineering has had...