Description
🖼Tool Name:
Collate
🔖 Categories:
Analytics & Dashboards
Data Preperation & Cleaning
Governance & Compliance
Warehouses & Modeling
Knowledge Base and Self-Service
✏ What does this tool offer?
Collate is an enterprise-grade data discovery and metadata management platform built on the open-source OpenMetadata standard. It serves as a unified workspace for data teams to find, understand, and govern their data assets.
The platform centralizes metadata from various sources (dashboards, tables, pipelines, and ML models) into a single "Intelligent Workspace," providing a unified semantic layer for both human users and AI agents.
It offers advanced features such as automated data lineage mapping, which allows teams to trace the flow of data from source to destination, and a centralized business glossary to ensure shared definitions across the organization.
In 2026, Collate has integrated "AskCollate," a conversational AI interface that allows users to query their metadata, generate SQL, and understand data relationships using natural language.
⭐ What does it actually offer based on user experience?
AI-powered search and discovery that helps users find the right data tables or dashboards in seconds.
Automated data documentation and classification, reducing the manual burden on data engineers.
Proactive data quality monitoring and observability to identify and fix pipeline issues before they impact business reports.
Seamless collaboration tools where users can discuss data assets, assign tasks, and share context directly within the platform.
Enterprise-grade security and access controls, including automated PII (Personally Identifiable Information) classification for compliance with GDPR and other regulations.
Clear visualization of data lineage, helping users understand the impact of changes to upstream data sources.
🤖 Does it include automation?
Yes, Collate is designed to put data governance and management on "autopilot" through several automated layers:
Automated Metadata Extraction: Connects to over 120+ data sources to automatically pull and refresh metadata.
AI Documentation Agents: Automatically generates table and column descriptions based on usage patterns and schema analysis.
Lineage Mapping: Automatically builds end-to-end data lineage without manual mapping.
PII Classification: Uses machine learning to automatically detect and tag sensitive data assets.
Quality Test Generation: Automated agents create technical and business quality tests to ensure data reliability.
💰 Pricing Model
Item Details: Model Type: Freemium + Paid Subscription (SaaS & Hybrid options).
General Concept: A tiered model based on the number of users and the volume of data assets managed.
🆓 Free Plan Details
Feature: Users & Admins / Details: Includes up to 5 users.
Feature: Data Assets / Details: Supports up to 500 data assets.
Feature: Refresh Frequency / Details: Weekly metadata refreshes.
Feature: Connectors / Details: Unlimited access to data connectors.
Cost: Free.
💳 Paid Plans 🔹 Premium Plan
Item: Price / Details: Contact sales (typically usage-based).
Item: Capacity / Details: Includes 25 users and 5,000 data assets.
Item: Updates / Details: 8-hour data refresh frequency and daily lineage updates.
Item: Features / Details: SSO integration, automated PII classification, and API/SDK support.
🔹 Enterprise Plan
Item: Price / Details: Custom pricing for large organizations.
Item: Capacity / Details: Unlimited users and unlimited data assets.
Item: Updates / Details: Hourly data refreshes and lineage updates.
Item: Focus / Details: Private cloud deployment, audit logs, custom integrations, and dedicated support.
🧭 How to access the tool:
Cloud-based platform (SaaS) or Private Cloud (BYOC) deployment.
🔗 Experience link or official website: