Most organizations do not have a data problem. They have an alignment problem. Definitions drift. Ownership is unclear. People rebuild what already exists. Trust drops, and decision making slows down.
Dataoma is a data catalog built to help teams align on what data means, where it comes from, who owns it, and how it should be used. It brings data discovery, data documentation, collaboration, and data quality into one place so teams can move with confidence.
Our mission is to make data usable at the speed of your business. Not by adding more dashboards, more pipelines, or more noise, but by creating a shared layer of knowledge that keeps people, tools, and datasets aligned.
When context is easy to find and trust is easy to verify, teams spend less time searching and debating, and more time shipping, learning, and improving.
Dataoma is a product built by practitioners who have lived inside modern data stacks and fast moving software teams. We have seen how quickly complexity compounds when data grows across tools, environments, and stakeholders.
We focus on building an experience that is clear for newcomers, useful for experts, and consistent enough to become a daily habit across engineering, analytics, and business teams.
Alignment first: A catalog is not a static inventory. It is a shared language for teams, built around definitions, ownership, and decision context.
Trust you can operationalize: Make it easier to answer whether a dataset is reliable, current, and fit for use, by connecting quality signals, expectations, and accountability.
Discovery that respects time: Help people find the right data faster with structure, search, and human friendly documentation that does not require tribal knowledge.
Collaboration that scales: Keep context close to the data, so discussions, updates, and decisions do not disappear in tickets, chats, or meeting notes.
We build for organizations that need to move fast without breaking trust. That means a product that is simple to adopt, consistent to operate, and designed to evolve with your stack.
Speed with clarity: Fast is only useful when people understand what they are using.
Trust by design: Governance and security should support progress, not block it.
Adaptability: Your data landscape changes. Your catalog should keep up without constant reinvention.
If you are building a modern data platform or trying to bring order to an existing one, Dataoma is here to help you connect the dots between datasets, teams, and decisions.
Start your free trial and build alignment that lasts.