Launched in 2021
Pricing
Free trial
Free version

Secoda is an AI-powered data management platform designed to serve as a single workspace for data discovery, cataloging, documentation, lineage tracking, and governance. It connects to a wide range of data warehouses, BI tools, and pipelines to automatically index metadata and surface it through a searchable catalog. Teams can document datasets, metrics, and dashboards, trace data lineage end-to-end, and enforce data governance policies from one interface. Secoda includes an AI assistant that allows users to ask questions about data in natural language, reducing the time spent searching for context. It also provides a self-serve data portal so non-technical stakeholders can find and understand data without relying on data engineers. Features such as monitors, PII detection, and access controls support data quality and compliance workflows. Secoda targets data teams at companies of varying sizes, from startups to enterprises, that need to scale data documentation and reduce the overhead of answering repetitive data questions.

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Target audience and deployment

  • Startup
  • SMB
  • Mid-market
  • Enterprise
  • Cloud
  • API

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Pricing

Pricing details:
Free trial
Free version
View more pricing information

Key features

AI-powered data search and discoveryAutomated metadata ingestionData catalogEnd-to-end data lineageData documentationBusiness glossaryData governance and access controlsPII detectionData quality monitorsSelf-serve data portalAI assistant for natural-language data queriesSlack and Teams integration for data questions

Use cases

  • Discover and search organizational data assets
  • Document datasets and business metrics
  • Track end-to-end data lineage
  • Enforce data governance and access policies
  • Enable self-serve data access for business users
  • Answer data questions using AI
  • Monitor data quality and freshness

Best for

  • Data engineers who need to document and maintain a scalable data catalog
  • Data analysts who need to quickly discover trusted datasets and understand their lineage
  • Data governance leads who need to enforce policies and detect sensitive data across the stack
  • Business intelligence teams who need to align on metric definitions and data documentation
  • Data platform teams who need to reduce repetitive data questions from business stakeholders

Integrations

Communication

Slack, Microsoft Teams

Developer

dbt, GitHub, Airflow

AI models included

OpenAI

Databases

Snowflake, BigQuery, Redshift, Databricks, PostgreSQL

Analytics & BI

Looker, Tableau, Power BI, Mode, Metabase