Secoda

Secoda

Secoda is an AI platform for data and analytics that combines data discovery, cataloging, lineage, documentation, observability, and governance. Its AI agents help data teams and business users find data, answer questions, automate data tasks, and generate insights using context from their data stack.

Secoda is ai agents software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Pricing not listed
One of 582 tools in AI Agents
Just launched
Data reviewed Oct 1, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

Pricing snapshot

Pricing available on request

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Secoda is an AI platform for data and analytics built around data governance, metadata, lineage, and documentation. It connects to data sources to provide context-aware search and answers, organize data assets, track data flows, and support data quality and governance workflows.

The platform is aimed at data teams and people across an organization who need to find, understand, document, monitor, or govern data. Its AI agents support tasks such as analyzing data, enriching metadata, answering search queries, generating documentation, and turning query results into visualizations.

Unified data governance platform with AI-powered data catalog, observability, lineage, and governance.

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Key Features

Secoda AI agents

Specialized agents support analysis, automation, search, memory, observability, governance, documentation, visualization, and cataloging.

AI-powered data search

Search across the data landscape to find data assets and insights, with context drawn from metadata, lineage, and documentation.

Data catalog

Organize data assets, lineage, context, and documentation in a centralized catalog and searchable data glossary.

Data lineage

Trace data journeys and dependencies across the stack, including visibility into query usage and performance.

Documentation and knowledge repository

Capture documentation and data context, generate descriptions for data assets, and store answers to recurring data questions.

Chrome extension

Provides in-browser data discovery, metadata editing, and AI search across tools.

Data observability and quality

Monitor data health and create monitors for anomalies, costs, and job performance; quality scores help prioritize fixes.

Governance and access management

Define and monitor data policies, manage access requests, and assign roles and permissions.

Automations and Data CI/CD

Automate data processes and workflows, including testing, alerts, impact analysis, and bulk updates.

Query monitoring

Monitor query performance and support compliance and data quality workflows with automated insights and visualizations.

Pricing

Current pricing details are not available from the vendor source.

Use Cases

Find and understand data

Data teams and data consumers can search for data assets and use catalog context, documentation, and lineage to understand them.

Answer recurring data questions

Teams can maintain a searchable repository of data knowledge to reduce repeated responses to ad-hoc requests.

Automate data documentation and metadata work

Data teams can use agents and automations to generate asset descriptions, enrich metadata, and perform bulk updates.

Monitor data health and quality

Teams can monitor anomalies, costs, job performance, query performance, and data quality to identify issues.

Manage data governance and access

Governance teams can define policies, manage access requests, and control permissions across data assets.

Explore data and create insights

Users can use AI analysis and visualization capabilities to turn data and raw query results into insights and visualizations.

Integrations

No verified integration details are available.

Benefits

Centralizes metadata, lineage, documentation, and data context in one place.
Helps users find data and get context-aware answers across the data stack.
Automates repetitive data tasks, documentation, and metadata enrichment.
Provides visibility into data health, query performance, and dependencies.
Supports data governance, policy enforcement, and access management.

Limitations

No verified limitations are available.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

No verified onboarding steps are available.

Support

Documentation

The website lists product documentation as a resource.

Slack community

The website lists a Slack community.

Contact

The website includes a Contact us option.

API

Available: No

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