Self-service BI that doesn't mean self-service chaos

Legacy tools promised self-service but delivered dashboard sprawl, ungoverned metrics, and a learning curve that sent business users straight back to the analyst queue.

Astrato gives your data team the governance controls they need – and your business users an experience simple enough to actually use.

Your data team sets the guardrails. Users move freely within them.

Legacy BI gave you a choice: lock everything down and become the bottleneck, or open it up and watch governance collapse. Astrato gives your data team a third option.

One definition of revenue. Everywhere.

Your Semantic Layer is where the arguments end. Define your metrics, dimensions, and business logic once – and every dashboard, every team, every user pulls from the same source of truth. No more conflicting spreadsheets. No more "where did you get that number?" in the Monday meeting. And when someone does ask, they can inspect the underlying SQL and data lineage behind every visualization.

User interface panel titled 'View AI suggestions' showing fields from 'Kna1' labeled as 'Customer Information', including 'Kunnr' for Customer Number, 'Land1' for Country, 'Name1' for Customer Name, and 'Ort01' for City.
Dashboard interface showing Actions panel with categorized triggers, logic, and outcomes including navigation controls, filter/data options, and variable settings.

You're not building dashboards. You're designing experiences.

Actions let you chain together clicks, filters, and navigation into guided flows – no code required. Set default selections, control which objects or measures appear dynamically, and engineer exactly how users move through the intricacies of your data. Instead of handing them a dashboard template and hoping for the best, you design the path. It feels like exploring an app. It works like one too.

Nothing goes live until you say so.

Draft, version, publish. Your team iterates in private, saves stable snapshots, and pushes to end users only when it's ready. Role-based permissions control who sees what and who builds what. Row-level security is inherited from your warehouse or can be set up per Semantic Layer. Governance isn't a layer you add on top, it's the foundation everything else sits on.

Interactive Revenue Dashboard showing total revenue, customer LTV, gross profit percentage, and product utilization with charts for revenue distribution, monthly revenue trends by country, sales change comparison, and customer LTV matrix.

Astrato stands out as a remarkably intuitive platform that strikes an excellent balance between flexibility and powerful data analysis capabilities. It enables users to explore and visualize data freely while still maintaining strong analytical depth and precision, so you don’t have to trade ease of use for rigorous insights.

Marc F.
Data Analyst
g2-score-5

An analytics experience your users won't need training for

Bookmarks

Save & share frequently-used views.

Point-and-click exploration

Filter, drill down, cycle and slice data. Swap dimensions and measures in each chart. No SQL, no training, no waiting.

Dynamic filtering

Familiar dropdown filters that update every chart instantly.

Executive reports

Branded reports in PDF, Excel, or PPT, delivered on a schedule. The data comes to them.

Custom Report

A sandbox where users build their own views from pre-approved dimensions and measures.
Automate branded Excel, PDF, or PPT reports to Email or Slack

AI-powered insights

Trends, anomalies, and natural language queries. Surfaced automatically, grounded in your semantic layer.
Direct writeback with real-time sync

Governed by your warehouse

Astrato queries your warehouse directly – your data never moves. Row-level security and role-based access are inherited from your existing policies, so your team controls exactly who sees what without managing permissions in two places.

Legacy BI bingo. Sound familiar?

"Governance was a nightmare"
"It wasn't quite self-service. Just another BI backlog problem"
"You've got to learn a whole different scripting language"
"Someone wants a different view — into the queue"
"Charging industry-leading prices for a product that isn't"
"Hours and hours of manual effort"
"Dashboard sprawl, as we like to call it"
"It doesn't have a lot of the features we would really like"
"Too much logic in the front end"

Unlock the true power of the cloud with a cloud-native BI platform

See how Astrato runs natively in your warehouse.
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Frequently asked questions

How much semantic layer setup does this require before users can actually start exploring?

Less than you'd expect. Astrato can infer relationships from your warehouse schema to give you a working model on day one, and you refine from there. Most teams get their first governed dashboard into users' hands in under a week.

Will our analysts who've spent years building in Qlik or Tableau find Astrato familiar?

Yes — the building experience is closer to PowerPoint than to Tableau's worksheet model or Qlik's scripting editor, so the drag-and-drop workflow feels natural right away. Analysts who wrote complex Qlik load scripts or Tableau LODs take longer to adapt, but most prefer having that logic in one governed Semantic Layer.

Will our business users actually adopt this, or go back to asking the BI team for everything?

Adoption is usually quick because consumption feels familiar — dashboards, filters, drill-downs all behave the way business users expect. Where Astrato stands out is the no-code report builder: users can slice, pivot, and save their own views without going back to the analyst queue for every new question.

How steep is the learning curve for non-technical users?

Gentle. Most users coming from Tableau, Qlik, or Excel need little retraining. The drag-and-drop editor, AI-powered insights, and natural language queries mean business users can explore data and get answers independently. We also provide training videos, a help center, and demo apps to learn by doing.