As data spreads across cloud warehouses, databases, and AI-driven workloads, governance teams are under pressure to deliver consistent, compliant access without slowing teams down. However, legacy integration patterns make it more challenging to enforce policy at scale. Organizations need a simpler, “native” way to provision governed access on every platform they rely on. That’s why we’ve evolved our Amazon Redshift integration to match the speed, flexibility, and scale today’s data ecosystems demand.
As organizations push for this kind of simplicity across all their platforms, the foundation matters.
One of Immuta’s core pillars is the ability to connect to any data, anywhere, so that organizations can control access through a single, consistent control plane. As data expands across clouds, databases, warehouses, and even business intelligence (BI) layers, enterprises require a unified approach to provision data by policy or by request. Delivering this requires expanding into new platforms and updating legacy integrations so every system governed by Immuta performs reliably and scales with demand. Customers made it clear that Amazon Redshift needed to be brought into this new model, and today we’re delivering exactly that.
Immuta is introducing the new “viewless” Integration for Amazon Redshift. This upgrade replaces our previous view-based connector, which introduced friction as customer environments grew. Managing secure views, updating BI paths, and working around read-only limitations made the old approach difficult to scale. Customers asked for something simpler and more native, and the new viewless integration directly reflects that direction. It allows users to continue querying the same Amazon Redshift tables they rely on today, while Immuta applies policies invisibly to the Redshift tables themselves, rather than creating Immuta-managed views and applying policies to those views.
The legacy connector enforced policies by generating secure views around Redshift tables. Although this allowed Immuta to control read access, it forced teams to change data paths across dashboards, notebooks, and pipelines. It also introduced architectural complexity, preventing Immuta from supporting write operations, which are increasingly important for engineering, machine learning, and AI workloads. As Redshift adoption grew and customer expectations evolved, the view-based model became too limiting.
The new viewless model removes these barriers. Instead of generating alternate objects, Immuta now applies policies directly to native Amazon Redshift tables using Amazon Redshift’s built-in fine-grained access control primitives. This preserves existing data paths, reduces operational overhead, and provides a more intuitive experience for both administrators and end users.
The new Redshift connector runs on Immuta’s modern connection framework. Administrators register an entire Redshift environment through a single connection (it can be scoped through permissions provided to Immuta), and Immuta automatically discovers metadata for databases, schemas, and tables. Immuta maintains metadata over time, ensuring that governance remains aligned as Redshift evolves.
The move to a viewless integration for AWS Redshift directly advances Immuta’s strategy to provide one control plane for all data across every engine and compute layer. As organizations adopt AI agents, automated workflows, and increasingly diverse analytics, the access layer must be fast, predictable, and consistent. By bringing Redshift into our unified connections framework through this integration, we ensure it performs at the same standard as the rest of the Immuta ecosystem.
This update also meaningfully improves data provisioning. The viewless model removes the friction created by secure views, allowing users and systems to access Redshift tables directly while Immuta manages permissions behind the scenes. This makes it much easier for anyone who needs data, and has the right to it, to get access quickly, whether that access is granted automatically through ABAC-driven policies or approved through a request.
As data consumers grow across analytics teams, operational systems, and AI-driven agents, reducing barriers to access becomes essential. The new Redshift integration provides the scale and performance needed to deliver governed data consistently and without delays. It ensures that access itself no longer becomes a bottleneck.
Immuta’s Viewless Integration for AWS Redshift creates a simpler governance experience for administrators, a seamless experience for users, and a more native experience overall. It eliminates the view-based limitations that customers struggled with, removes BI path rewrites, supports modern workloads that require both read and write access, and scales cleanly as environments grow. Most importantly, it reflects what customers asked for: a faster, more intuitive, and more powerful way to govern Redshift data.
This release strengthens Immuta’s position as the unified control plane for the modern data stack and sets the stage for expanded support across the platforms where organizations need us next.
Take a closer look at all of our data provisioning updates.
