What’s New in the Data Productivity Cloud: November 2025
Smarter pipelines, faster insights, and more Maia magic
We’re continuing to evolve the Data Productivity Cloud to make frictionless data a reality. Maia’s latest enhancements, expanded APIs, and new quality tools work together to supercharge your data team, streamlining operations and unlocking faster, smarter insights.
Maia just got smarter at understanding your work. It can now analyze the structure of your pipelines, detect repetitive patterns, and suggest optimizations, like consolidating duplicate steps or improving joins.
This enhancement helps your data team eliminate inefficiencies automatically, so you can focus on building, not debugging.
Prompt Maia with something like:
“Analyze this pipeline and recommend optimizations.”
We’ve expanded Maia’s intelligence across your workspace. You can now ask Maia to look through your project files and surface relevant details without opening them manually.
It’s perfect for:
Finding all uses of a specific connector or component
Locating references to a variable
Spotting patterns across multiple pipelines
These context-aware searches help your agentic data team move faster—and spend less time digging for details.
Upload context files directly into Maia Custom Connector
Creating new connectors just got even easier. You can now upload PDF, YAML, or JSON files (up to 5 MB) directly into Custom Connector, including Postman Collections and OpenAPI Specs.
This allows Maia to instantly understand your API structure and generate a ready-to-use connector faster than ever before, so you can focus on data insights, not connector setup.
Maia: Keep working without interruption
Maia now runs conversations fully in the background—so you can close your browser or step away, and it keeps processing. When you return, your chat history is ready to pick up right where you left off.
Plus, the new Branch Conversations list makes multitasking easy: browse, resume, or clone sessions without losing context.
We’re excited to introduce Pipeline Quality Review, the first in a new suite of features designed to help data teams enforce best practices automatically.
Think of it as a “linting engine” for your data pipelines—an intelligent reviewer that catches issues before they reach production.
Key benefits:
Enforce consistent standards with customizable quality rules
Catch issues early and reduce production risks
Strengthen governance across all projects
Provide actionable, contextual feedback for every developer
With Pipeline Quality Review, your team can deliver faster, safer, and more consistent pipelines, all natively within the Data Productivity Cloud.
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