Every organization needs to be data-driven in order to be successful. Whether you're tracking an application's performance, incoming support tickets, or revenue rates, different components of any company depend on metrics that inform the health of the business.

At Heroku, we're hackers to the core, but that doesn't mean we're all programmers. We build on top of our own platform for everything we do, and one of the products we often use is Heroku Dataclips. If you haven't heard of them before, Heroku Dataclips allow you to create SQL queries in a web GUI that run on your Heroku Postgres database. The unique dataclip URL can then be shared internally or externally,...

The data we store holds value, but refining data into meaning remains a difficult task. Over the last few months, we've taken a step back to figure out what we can do to help our users cross that divide, and rebuilt Heroku Dataclips from scratch with that goal in mind. The result is an experience that makes accessing and working with your data easier than ever, enabling anyone on your team familiar with SQL to take advantage of your most valuable asset without the need for specialized tools or knowledge of the database.

Dataclips is a flexible, lightweight way to query your data in Heroku Postgres and share the results. At Heroku, we use them regularly across all of our departments....

After a successful two-month Beta period, PostgreSQL 11 is now the default version for all new provisioned Heroku Postgres databases. All Postgres extensions, tooling, and integration with the Heroku developer experience are ready to use, giving you the power of PostgreSQL 11 with the ease and usability of Heroku for building data-centric applications.

We'd like to re-emphasize a few features - among the many released in Postgres 11 - that we are particularly excited about.

Building a SaaS product, a system to handle sensor data from an internet-connected thermostat or car, or an e-commerce store often requires handling a large stream of product usage data, or events. Managing event streams lets you view, in near real-time, how users are interacting with your SaaS app or the products on your e-commerce store; this is interesting because it lets you spot anomalies and get immediate data-driven feedback on new features. While this type of stream visualization is useful to a point, pushing events into a data warehouse lets you ask deeper questions using SQL.

In this post, we’ll show you how to build a system using Apache Kafka on Heroku to manage and visualize...

Today, we're happy to announce full support for PostgreSQL 10, opening our managed Postgres solution to the full slate of features released after a successful two-month Beta period. PostgreSQL 10 is now the default version for all new provisioned Heroku Postgres databases. All Postgres extensions, tooling, and integration with the Heroku developer experience are ready to use, giving you the power of PostgreSQL 10 with the ease and usability of Heroku for building data-centric applications.

We'd like to re-emphasize a few features - among the many released in Postgres 10 - that we are particularly excited about.