Changelog

September adds SCIM provisioning, so Microsoft Entra ID can create, update, and deprovision users and groups in a Blindata tenant. Lineage, glossary, and catalog views also move forward: SQL lineage follows table-valued functions into the function body, the Ontology Graph Editor can download the current graph as an image, and each concept has a Data Assets tab that separates direct, subtype, and column-level links.

August expands automated SQL lineage across more modern, warehouse-specific, and Oracle-style syntax. The Data Product Builder can now create output-port schemas by crawling a source system directly, initialize a repository from a blueprint without leaving the Builder, and test contract quality rules while they are being authored. Conditional custom properties also make marketplace access-request forms adapt to the data being requested.

This release brings Bring Your Own Credentials (BYOC) to Blindata Agent connections, so each user authenticates with their own identity, and Chat with Your Data in the Blindata AI Assistant for on-demand exploration of live systems. The assistant can also suggest and implement quality checks, from definitions through probe automation, grounded in your ontology and catalog metadata. Quality probe project schedules can now always run against the latest created tag, and data product quality annotations can be tested directly inside the Data Product Builder.

We’re excited to introduce the Blindata AI Assistant, a chat panel built into the Blindata UI that helps you carry out stewardship work in plain language. Curate ontologies from documents and images, create data quality checks, and analyze and import lineage from scripts and Excel files, all without switching to another tool. This release also expands MCP connection and tooling options and improves CSV export performance.

This month introduces success metrics dashboards for data products and the Business Glossary, so you can track semantic linking, stewardship coverage, metadata fill rate, and downstream reuse with repeatable KPIs. MCP write tools let AI assistants create and update glossary and catalog resources directly; the Agent UI now supports secret file uploads for JDBC connections; Mermaid diagrams render in markdown documentation; and a new compact menu frees screen space for large maps and visualizations.

This month brings a refreshed Blueprint experience with updated documentation, data contract quality annotations in the Data Product Builder, and a revisited Stewardship module for roles and responsibilities. Data product owners can define quality rules on the contract to monitor products over time; platform teams get clearer blueprint discovery, and builders can export port schemas to CSV for offline editing and re-import.

This month brings stronger privacy controls for AI integrations, clearer stewardship analytics—including raw exports and gap views—and faster glossary alignment when importing technical metadata. The data products area now surfaces responsibility distribution alongside existing views, and JDBC-based crawling can carry semantic links into the catalog on ingest.

We’re introducing a streamlined experience for building and administering data products in Blindata. The Data Product Builder is now the single place to define your descriptor, manage releases with Git, and jump straight into DevOps—so you can own the full lifecycle from definition to deployment. Here’s what’s new.

Here are the first 2026 updates: a better search experience, more flexible custom properties and discussions, clearer stewardship and data product roles, new guides (CSV, OPA policies, deployment), and MCP/resource-type improvements.

We’re excited to announce the launch of Semantic Search and MCP Server - two powerful new features that bring AI-powered intelligence to your data discovery experience. These additions transform how you find, understand, and interact with your data assets through natural language and seamless AI integration.

We’re happy to announce the launch of Marketplace, a brand new module designed to make accessing and managing data products easier, smarter, and fully governed.

This update delivers key improvements, including enhancements to access control based on responsibilities, data quality highlights on data products, expanded odm-cli capabilities for data product descriptor creation, and a customizable home page logo option for customers.

The DataOps module in Blindata provides a modern, decentralized approach to data operations, seamlessly integrating with the Open Data Mesh platform. It empowers organizations with federated governance, lifecycle tracking, and computational policies, ensuring compliance and efficiency in data product management.

This month’s changelog introduces significant updates to Blindata’s ontology management tools, including direct access to the graphical editor from concept lists and namespace visibility enhancements. We’ve also improved programmatic access to APIs and expanded authentication capabilities with Entra ID. Check out the full list of updates below!

In our Christmas release, we’re introducing several key features and improvements aimed at enhancing your Blindata experience. Notably, the new semantic linking feature enables richer data to semantic mappings, providing deeper context and improving data interpretation. We’ve also added OWL support in the RDF importer, boosting interoperability with existing ontologies. Additionally, we’ve improved documentation, tenant settings, and dataflow chart navigation.

We are excited to introduce our changelog—a dedicated space where we keep you updated on the latest features, improvements, and fixes in Blindata. Transparency and collaboration are key to our mission, and this changelog reflects our commitment to keeping you informed about how our platform evolves. Why a Changelog? The changelog serves as a bridge between our development team and you, our users. Here’s why we’ve decided to make it an essential part of Blindata: