A self-service datalake, without building a data team
The structure of a modern datalake in a simple, ready-to-use experience — you get started without data engineering up front.
The problem
Building a datalake from scratch used to require cloud, engineering, orchestration, security and months of project work. That's why it stayed limited to large companies with dedicated teams and budgets.
What changes with self-service
The platform takes on the heavy, ongoing work — cloud provisioning, pipelines, security and monitoring — and leaves you with what matters: knowing which source to connect and which number drives the decision. And the datalake isn't the end of the road: native BI and an AI that answers questions about your data come ready on top of it.
Who it's for
- Companies that need to centralize data without a data team in place
- IT teams or analysts who handle data without being engineers
- Anyone who wants to start small and scale with control
How ingestia.io helps
ingestia.io delivers the datalake already built, with a visual wizard for non-technical users and a SQL console for those who are. The essential structure — connectors, pipelines, layers, SQL, native BI and AI — comes ready, in a self-service model with a monthly plan and usage credits. You start small, without a months-long project, and grow as you need.
Does your company need to centralize data?
Take the ingestia.io Data Structure Simulator and find out which path makes the most sense to organize your sources, cut rework and build a reliable foundation for reports, dashboards and integrations.