Roadmap
This roadmap is indicative and does not constitute a commitment in any way. Dates, scope, and content for each release are subject to change. Items may be added, removed, or moved between releases.
v0.25 — October 2026
Section titled “v0.25 — October 2026”This release focuses on improving the graph visualizations with more filter options and improved visual appearance. Headlining new features are:
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Glossary Visualization to visualize an entire glossary / information model as a network graph.
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Domains - a generic grouping function to group assets in different categories, such as role based (analyst, engineer), department (finance, sales) or process (procurement, production). This will also enable the concept of “Data Products”.
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Feature: API connector improvement: show datatype as “array of
” (#188) -
Feature: Support Auth Code and DeviceCode auth flows in REST API (#157)
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Feature: Filters in REST API endpoints (#103)
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Feature: Filters in graphs (#91)
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Feature: Domains - Generic grouping function. Supports the concept of Data Products (#87)
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Feature: Glossary visualization - Visualize the glossary as a network graph (#84)
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Improvement: Use res.cookie() instead of the direct cookie dependency (#210)
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Improvement: Refactor frontend URL format (#180)
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Improvement: More inviting start page (#105)
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Improvement: Sync nested source schema structures (#96)
v0.26 — Q4 2026
Section titled “v0.26 — Q4 2026”This release is all about Data Contracts - A feature to support metadata driven ingestion for data teams, with business-side ownership.
- Feature: Data Contracts (#179)
- Feature: Change owner recursively on assets (#100)
- Feature: Multi-environment support - sync PROD, TEST, DEV versions of the same system and compare them to each other (#93)
- Improvement: Remove durable secrets from the API process (#203)
- Improvement: Make ENCRYPTION_KEY rotatable (#202)
- Improvement: Include PII and data sensitivity change to Field changelog (#160)
- Improvement: Add version number to a Job (#141)
v1.0 — Q1 2027
Section titled “v1.0 — Q1 2027”The core Katalogue data model is stable and features considered as “hygiene factors” are completed. This release focuses on automation and workflows, with these headlining features:
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Auto-generated suggestions in sync jobs. Datasource sync jobs include an “approval” stage that require human review for suggestions related to Field -> Attribute mapping, auto-generating Attributes and detection of renamed assets. The latter will be useful to prevent unintended insert & delete whenever a synced artifact in the source system is renamed without a stable ID.
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Improved permission control with more granular permissions to complement the current role-based model
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Feature: Assign multiple users/groups as owner (#133)
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Feature: Auto-generate suggestions for field descriptions and associations with field descriptions (#82)
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Feature: More granular permission control (#79)
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Improvement: Improved handling of renames in source systems (#81)
v1.1 — Q2 2027
Section titled “v1.1 — Q2 2027”Knowledge pages / articles / “Wiki” with native markdown support and storage in git to support developer-friendly workflows. This release is about capturing unstructed information on how information and data is used. Content can be organized in categories, such as Policies, System documentation and Processes with git-powered version control. This feature can also be used to curate and govern agent SKILLS.md across the organization. This feature is an important step towards making Katalogue the one place for data- and information related documentation in the organization.
- Feature: Markdown support and draftjs migration (#109)
- Feature: Articles/Wiki (#98)
v1.2 — Q3 2027
Section titled “v1.2 — Q3 2027”This release focuses on AI - both by providing agents with a better interface to access Katalogue through an MCP server, and including features for AI-generated content in Katalogue itself. Features:
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MCP server to let agents interact with Katalogue more easily
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Auto-generation of descriptions, improved search etc enabled by integrating LLMs in Katalogue. This will be through a bring-your-own-llm interface to let organizations plug in the models they trust. Katalogue will not bundle its own model.
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Feature: MCP server / AI context provider (#99)
v2.0 — Q4 2027
Section titled “v2.0 — Q4 2027”Katalogue is now a Shared Semantic Foundation. It unifies the capabilities of data catalogs, business glossaries, information models, metadata repositories and knowledge graphs into a single, living model that connects business concepts to their technical realization.
The core philosophy is simple:
Define information once. Understand it together. Use it everywhere.
- Feature: Capture user activity statistics (#161)
- Feature: Data model design workspace (#158)
- Feature: Data Mappings / masterdata functionality (#88)