This summer, we announced the beta release of our new streaming data connectors between Heroku Postgres and Apache Kafka on Heroku. These connectors make Change Data Capture (CDC) possible on Heroku with minimal effort. Anyone with a Private or Shield Space, as well as a Postgres and an Apache Kafka add-on in that space, can use Streaming Data Connectors today at no additional charge.

Customers use connectors to build streaming data pipelines between Salesforce and external stores like a Snowflake data lake or an AWS Kinesis queue for integration with other data sources. They also refactor monoliths into microservices, implement an event-based architecture, archive data in lower-cost...

Today we are announcing a beta release of our new streaming data connector between Heroku Postgres and Apache Kafka on Heroku. Heroku runs millions of Postgres services and tens of thousands of Apache Kafka services, and we increasingly see developers choosing to start with Apache Kafka as the foundation of their data architecture. But for those who are Postgres-first, it is challenging to adopt without a full app rewrite. Developers want a seamless integration between the two services, and we are delivering it today, at no additional charge, for Heroku Private Spaces and Shield Spaces customers.

Moving beyond Postgres and Kafka, the Heroku Data team sees the use cases for data growing...

Today, we’re thrilled to announce four new trusted data integrations that allow data to flow seamlessly and securely between Heroku and external resources in public clouds and private data centers:

• Heroku Postgres via mutual TLS
• Heroku Postgres via PrivateLink
• Apache Kafka on Heroku via PrivateLink
• Heroku Redis via PrivateLink

These integrations expand Heroku's security and trust boundary to cover the connections to external resources and the data that passes through them. They enable true multi-cloud app and data architectures and keep developers focused on delivering value versus managing infrastructure. Data is the driving force in modern app development, and these...

We are thrilled to announce that Apache Kafka on Heroku Shield is now generally available and certified for handling PHI, PII, and HIPAA-compliant data. Our newest managed data service unifies Heroku Shield, a set of Heroku platform services that offer additional security features needed for building high compliance applications, with Apache Kafka on Heroku, our fully-managed service based on the leading open-source solution for handling event streams.

Organizations of all sizes face relentless pressure to bring better apps and experiences to market, and those with a strong focus on data security like Health and Life Sciences (HLS) organizations need to balance safety and agility. Their...

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...