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.
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.Book a demo
Anyone, regardless of technical ability, can ask questions about your data and receive a contextual response.
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.
Secoda provides a centralized location for collecting and organizing data requests so data teams never have to answer the same question twice.
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.
Certify and share commonly used data assets for internal access. Secoda identifies frequently used data and sensitive resources, empowering confident data usage within the company.
Automatically discover, categorize, tag, and regulate sensitive data across your resources. Securely collaborate with any team member using Secoda, free from concerns about data governance breaches.
With Secoda, data teams save time and ship faster by making it easier to work together.Book a demo
Secoda integrates with Git so you can easily track changes, collaborate, and ensure data integrity.
Teams, collections, and documents make it easy to curate and organize your data knowledge
Admins can grant appropriate data access to individuals and teams to ensure each business unit sees only what they need to.
Out of the box connections and flexible APIs.
"Secoda AI lets me reduce the time my team spends on documentation by 90%"
Chief Data Officer
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.
You can host Secoda in a self-hosted environment, behind your own VPN, and in your own VPC. Deploy via Terraform or Docker.
Sign in with the services you already use, including Google and Microsoft SSO, Okta, MFA and SAML
Securely move data from your private databases to Secoda with SSH tunneling.
Get control to remove or leave out sensitive datasets from your syncs or mark it automatically in Secoda.
Data managed with Secoda is fully encrypted in transit and at rest. We do not see the data we are moving.
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.
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.
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.
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.
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.
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.
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.
Yes, Secoda has the ability to connect with tools like Okta and Active Directory to manage your permissions from your RBAC tools. This way, you can confidently share Secoda knowing that the right people are seeing the right information.
Secoda integrates with Snowflake, Big Query, Redshift, Databricks, Postgres, Oracle, Microsoft SQL, MySQL and S3. For more information about our integration, you can visit our integration docs.
Secoda integrates with Tableau, Looker, Metabase, Redash, Mode, Sigma, Power BI and Google Data Studio. For more information about our integration, you can visit our integration docs.
Yes, Secoda works with both dbt Cloud and Core. Secoda is able to take the information from your YAML file and present it in your data discovery platform. In addition, Secoda also brings in dbt tests, tags, metrics and column level lineage into Secoda.
Secoda automates column and table level data lineage. In additional, Secoda also brings in tests, events and ETL into data lineage. All of Secoda's lineage is automated, but users can also manually contribute to lineage using Secoda's API.
Yes, Secoda integrates with Git and provides a version control for all changes made in Secoda in Git. This allows data teams to have a version of all metadata changes in Github or Gitlab and roll back changes if needed. In addition, data teams are able to merge changes to a metadata and review changes to their workspace in Git using Secoda.
Secoda does not pull in your data. Instead, Secoda pulls in metadata about your data. For a majority of the integrations connected to Secoda, this means Secoda pulls in resource names, popularity, lineage, queries, descriptions and frequent usage. For more information about our integration, you can visit our integration docs.