The modern AI-powered data catalog platform

With ChatGPT-powered search, you can easily access all your company data and find answers to common questions with our modern data catalog. Aligning on metrics and sharing company data knowledge has never been easier.

Trusted by data teams worldwide.

Why you need a data cataloging tool

Automate data discovery, documentation, and governance. Secoda automatically ingests metadata from across your data stack so you can create a single source of truth. Consolidate your data management tools in one.

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The only data catalog with true AI powered search.

Anyone, regardless of technical ability, can ask questions about your data and receive a contextual response.

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Integrate your data catalog with existing workflows

Secoda lets you manage questions and search your data right from Slack where you’ll be notified of any changes that are relevant to you.

Create a single source of truth for your data

Secoda provides a centralized location for collecting and organizing data requests so data teams never have to answer the same question twice.

Automated column and table level lineage

Give your team insight into your data relationships with automated column and table level lineage functionality. Add any additional context to lineage using the Secoda API and notify others when lineage changes impact their work.

Trust your metadata repository completely

Certify and share commonly used data assets for internal access. Secoda's AI data catalog identifies frequently used data and sensitive resources, empowering confident data usage within the company.

Automate data governance workflows in your data catalog

Automatically discover, categorize, tag, and regulate sensitive data across your resources. Securely collaborate with any team member using Secoda, while ensureing data governance.

Built for easy collaboration with any team

With Secoda, data teams save time and ship faster by making it easier to work together.

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Work with your team in real-time

Multiple users can collaborate on the same documentation, data cataloging, or data tagging task in real-time with an AI-powered data catalog tool

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Modern version control

Secoda integrates with Git so you can easily track changes, collaborate, and ensure data integrity.

Workspace organization

Teams, collections, and documents make it easy to curate and organize your data knowledge

Role-based permissions

Admins can grant appropriate data access to individuals and teams to ensure each business unit sees only what they need to.

Integrates with your whole stack

Out of the box connections and flexible APIs.

"Secoda AI lets me reduce the time my team spends on documentation by 90%"

Tidiane NDIR

Chief Data Officer

Upholding industry-leading security standards

SOC 2 compliant

Secoda is SOC 2 Type 1 and 2 compliant. The way we process and store client data is secure and protected, based on standards set by the AICPA.

Self-hosted environment

You can host Secoda in a self-hosted environment, behind your own VPN, and in your own VPC. Deploy via Terraform or Docker.

SAML, SSO, and MFA

Sign in with the services you already use, including Google and Microsoft SSO, Okta, MFA and SAML

SSH tunneling

Securely move data from your private databases to Secoda with SSH tunneling.

Auto PII tagging

Get control to remove or leave out sensitive datasets from your syncs or mark it automatically in Secoda.

Data encryption

Data managed with Secoda is fully encrypted in transit and at rest. We do not see the data we are moving.

FAQs

What is a data catalog used for?

A data catalog is used as a centralized repository or inventory of metadata about various datasets within an organization. It provides a structured and organized way to manage and discover data assets. Data catalogs help users understand what data is available, its attributes, quality, lineage, and usage, facilitating data governance, collaboration, and efficient data discovery for analysis and decision-making.

What kind of data catalog should teams look for?

Firstly, it should offer robust metadata management capabilities, allowing teams to annotate and document data comprehensively. This metadata should include information about data lineage, quality, and usage, providing a holistic view of the data's lifecycle. See the full set of criteria in the Ultimate Data Catalog Buyer's Guide.

How do you create a data catalog?

Creating a data catalog can greatly help you with organizing the data they collect, therefore making it easier to find what you need when you need it. The 5 steps involve: gathering sources, assigning owners to resources, getting support and buy-in, integrating workflows, and upkeeping the catalog.

What are the benefits of an AI-powered data catalog?

AI data catalogs offer a wide range of benefits for data-driven businesses such as improved data discovery and management, data quality, data governance, and better insights.

Why do you need an enterprise data catalog?

An enterprise data catalog is a centralized repository that organizes and manages an organization's data assets based on their metadata. It provides a single point of reference for discovering, understanding, and using data at scale.

Why should analytics engineers use a data catalog?

A data catalog helps analytics engineers easily discover and locate relevant datasets for their analytics projects, saving time and effort in searching for data. Secondly, the catalog provides essential metadata about the datasets, such as data definitions, schemas, and quality metrics, enabling engineers to understand and evaluate the data's suitability for analysis. Lastly, a data catalog promotes collaboration and knowledge sharing among analytics teams by providing a centralized platform to document, annotate, and share insights or best practices related to the datasets, enhancing the overall efficiency and effectiveness of analytics workflows.

What are the benefits of using a data portal?

Secoda is an all in one platform for your data knowledge. Unlike alternatives, Secoda's data portal allows anyone on your team to easily search, understand and use company data, regardless of their familiarity with data. Some of the benefits include: improved data literacy, faster on onboarding to data, and better visibility and governance.