Relationships between tables and data sets is crucial for any reporting and analytics. Those relationships are often unclear and can span across databases. Dataedo reads foreign keys from the database to the data dictionary, allows you to extend this information with manually defined relationships, and visualizes them with ER diagrams.
Data sources in your organization can hold hundreds or thousands of tables and data structures. It might be hard or impossible to make sense of this. Dataedo helps you manage this complexity by allowing you to create domains and data products and use them to organize large data sets.
Dataedo allows you to map data dictionary elements to terms in integrated business glossary – a global list of terms and definitions in your organization. This allows you to provide more meaning and definitions to data, add a voice from the business to data assets and make the documentation of data structures easier for IT.
Dataedo makes it easy to capture tribal knowledge from your team and share it across the organization with central metadata repository.
Keep full visibility into your metadata evolution. Dataedo automatically records who made changes, when they occurred, and what was modified. Maintain accountability, ensure accuracy, and easily audit updates to descriptions, titles, and custom fields.
Automatically sync your metadata with source systems to ensure your documentation always reflects the current state of your databases. Dataedo detects schema changes, updates structures, and preserves your custom descriptions—saving time and preventing outdated information.
Data dictionary decrypts data in your organization and often is necessary to be able to use it.
With data easier to find and understand, business can work with data on their own, without help of from IT.
Are some people or partners the only gateway to some of your data? Get independence and ask all your people and teams working with and building data assets to get them documented with Dataedo. With that you will decide who and how will make use of your data.
Understanding purpose of tables and columns and how to join tables reduces risk of bugs in SQL and getting incorrect, misleading results.
With documentation of data, business and analyst community can find and use the data without the support of the IT.
Did you ever wonder what would happen to your data, analytics, BI, data warehouse if key people left? Data dictionary serves and documentation that protects your knowledge and allows to pass it easily to new people.
When business can be self-reliant, those key data gurus can now spend less time answering questions and preparing simple queries, and can on high value-added work.
Allow your people to spend less time looking for data and trying to make sense of it and, and spend more time getting insights and finding patterns.
Central reference documentation of data improves communication between all the parties involved - architects, developers, analysts, developers, business, and various teams and suppliers.
Allow new hires get to speed, independently, with comprehensive documentation.
Dataedo does not impact data structures in your source databases. All documentation takes place in the repository.
Dataedo can be deployed on-premises or in your private cloud to meet your organization’s security requirements and maintain full control over your data. Your metadata is not stored on our servers.
Your data stays within your environment at all times. No metadata or data is ever sent outside your systems, ensuring maximum privacy and compliance.
Easily manage who can view or modify different parts of your dictionary, keeping sensitive information safe and accessible only to authorized users.
Centralize metadata, lineage, and documentation in one searchable platform. Make it easy to find and understand data assets.
Track how data flows across systems automatically. Visualize transformations, dependencies, and impacts to ensure transparency, support compliance, and reduce errors.
Combine cataloging with automated data quality checks to detect errors, anomalies, and missing values before they propagate downstream
Build trust and accountability across your data landscape. Maintain control and transparency throughout your data lifecycle.
Describe the purpose of data warehouse tables, columns and show table relationships for better BI and self-service analytics and reporting.
Share documentation of data sources - purpose of tables and columns and relationships between them to allow self-service analytics to business and analyst community.
Document databases as you design them and share the design with every developer.
Founder
Explore Dataedo through a preconfigured data catalog with sample data, try it with your own data during a 14-day free trial, or book a demo.