With ChatGPT-powered search, you can easily access all your company data and find answers to common questions with our modern data catalog.
Used daily by some of the best data driven teams
Level up your efficiency by enabling complex searches in natural language, while also providing insights, suggesting data sources, and identifying patterns. Simplify your data discovery process. Get more time back for you and your team.
With OpenAI on top of your metadata, you can now get contextual search results from across your tables, columns, dashboards, metrics, queries, etc, and generate queries from those answers. Get answers to questions like “Can I drop customers_id without impacting other data?”
Convert natural language into SQL using your existing column and table definitions in Secoda. The more you document, the more accurate your recommendations will be.
Secoda will auto generate data documentation for table descriptions, column descriptions and dictionary terms. Spend less time documenting and more time on sharing insights.
Automatically find, tag, and govern PII data across your assets so you can confidently share Secoda with anyone on the team without worrying about compromising data governance.
Secoda's smart AI recommendations allow you to propagate column changes to related fields automatically, saving you time and getting you back to the things you care about.
“Secoda gives our data science and data engineering teams the ability to work on building a common company knowledge instead of storing everything in our heads.”
—
Head of Data Science
Get the functionality of ChatGPT combined with the context of your metadata for you to use right in Slack. Stop answering the same question twice, get immediate answers to questions, power self-serve data consumers, and more.
Secoda AI lets anyone at a company, regardless of technical ability, answer any data question at the speed of thought - in any language. It brings business teams get closer to their data by removing a lot of the technical barriers that would previously prevent them from making faster decisions.
Secoda AI integrates LLM with a chat-based interface to give data teams the easiest and most comprehensive way of discovering data. Automate documentation, write dbt code, let business users answer their own questions, and take the grunt work out of your day-to-day.
Secoda easily integrates across your end-to-end data stack. Upgrade your workflow by seamlessly connecting into the tools you already use like Slack and Jira. Need something else? You have the flexibility to build custom integrations with our API.
Built for data teams, designed for everyone so you can get more from your data stack.
The data within the resource does not leave the workspace. The only data sent to OpenAI is the metadata in your workspace. Metadata is defined as properties and documentation describing your resources, including Owners, Tags, Descriptions, Definitions, Popularity, Resource Names, etc. Learn more here
Absolutely not. All metadata is specific to your workspace and is not shared or accessible by anyone who isn't granted access to your workspace. You cannot ask the AI Assistant about metadata that is not in your workspace.
AI Assistant leverages OpenAI. OpenAI is GDPR compliant and takes data privacy very seriously. They have implemented measures to ensure compliance with GDPR and other data privacy laws, such as providing users with the ability to delete their data and implementing data protection impact assessments.
With a chat-based interface, think of it as ChatGPT for your data stack. It lets anyone at a company, regardless of technical ability, answer any data question at the speed of thought. We use our integrations/metadata to power a search model that is fed into Chat GPT with specific LLM prompts to act as a data assistant for anyone that has any questions about data.
Secoda AI can tell you what things mean across your database, dashboards, metrics, queries etc;
write queries to certain tables and explain queries;
tell you what are relationships between tables for natural language lineage analysis; write dbt / airflow / sql / LookML code with context about your data stack; and more
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