Over the past few months, we’ve released a lot of new features and enhancements to make RudderStack a more powerful tool. Check out the product roundup below to ensure you don’t miss anything.
The compliance toolkit
We launched a toolkit to help you simplify compliance across the entire data lifecycle. You can now continuously manage consent, collection, storage, and deletion all within RudderStack. Each tool runs within your own data infrastructure and supports first-class integrations with compliance tools like OneTrust and Ketch.
With the real-time Activation API, you can extend RudderStack Profiles to every corner of the enterprise through real-time, RudderStack-managed API. Now, anyone in your company can access your customer 360 data in real time using a single API integration.
ProfilesML enables you to build predictive features in your warehouse without MLOps. The new feature brings out-of-the-box predictive capabilities to RudderStack Profiles. It fits within your existing Profiles workflow, allowing you to start building predictive features in four steps:
Choose your ProfilesML model (churn prediction and lead scoring are currently available, and more models are on the way).
Specify the predictive feature or define it yourself.
Push the ProfilesML project to Github and kick off a run.
With this new feature, RudderStack prevents duplicate data from being sent to Braze, saving data points and avoiding unnecessary billing overages. No more custom work and no more accidental overages from duplicate data points. The Braze deduplication feature is available in both cloud and device mode for Event Stream and for Reverse ETL pipelines.
You can use the user suppression API suppress event collection across multiple data sources and delete user information from multiple destinations with a single endpoint.
With this API, you can create a suppression rule that automatically stops tracking user events across data sources when a user opts out of tracking and automatically deletes user data from downstream destinations when a user requests to be forgotten.
RudderStack’s consent management features give you fine-grained control of which integrations are loaded and receive customer data based on any combination of consent preferences chosen by the user.
Our fully integrated consent solution works with first-class consent tools like OneTrust, as well as custom-built systems, and it now allows for both client-side and server-side consent categorization of each individual downstream integration.
If you’re using Databricks, you can now easily sync data from your data lakehouse to your entire stack. This new integration is a big unlock if you’re building models or audiences in Databricks and want to push that data to marketing and product tools. It supports Databricks Unity Catalog and works with our visual data mapper and mirror mode features.
Our Kafka source integration enables you to automatically forward Kafka streams to key business tools and standardize schemas for data used in identity resolution and customer 360 projects – all without customer integration and pipeline work. With RudderStack, you can get more out of your Kafka implementation.
With the RudderStack Materialize destination, you can now get the power of a data warehouse and the speed of real-time streaming. Use the Materialize destination integration to stream real-time events from RudderStack directly into Materialize – the operational data warehouse – where it’s available for real-time materialized views, alerts, and analytics. Check out the Materialize docs to learn how to set up the connection.
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