No SQL. No tickets. No waiting.
Superset's Explore view lets non-technical users build any of 40+ chart types by selecting dimensions and metrics from a dropdown.
Your data team publishes curated, documented datasets. Users see only trusted, governed data with clear column descriptions.
Teams share dashboards with filters, comments, and scheduled email delivery — all without leaving Superset.
Works with your warehouse and your cloud
Analysts publish curated, documented datasets in Superset. Each column has a plain-English label and a description.
Any user drags dimensions and metrics into Explore, applies filters, and previews a chart — no SQL needed.
One click adds the chart to a shared dashboard. The team sees live data the next time they open it.
Users click a bar to drill into the underlying rows, pivot by a new dimension, or export to CSV — self-sufficiently.
Before
Marketing needs a weekly channel-attribution report. They file a ticket, wait three days, and get a static CSV that's already outdated.
With D23
Marketing opens the certified "Marketing Performance" dataset, builds their own chart in 10 minutes, and pins it to a live dashboard.
Before
Finance needs ten dashboard variations for the board pack. The data team works weekends to produce them.
With D23
Finance uses the certified P&L dataset to self-serve every variation. The data team reviews, not builds.
P&L analysis, budget vs actuals, headcount reporting — built and owned by the finance team, not the data team.
Campaign attribution, funnel analysis, and cohort charts built by marketers in the no-code explorer.
Retention curves, feature adoption, and A/B results explored and shared by PMs without SQL knowledge.
You don't have to take our word for it. Here's what analysts and data teams are reporting right now.
$28B
spent on Looker and Tableau licenses annually by enterprises — most of it for dashboards fewer than 20% of employees ever open.
3× ROI
median return on analytics investments reported by data-driven organizations within 12 months of deployment.
40%
reduction in reporting cycle time when finance teams move from spreadsheet exports to live Superset dashboards.
Most teams cut their BI cost by half and ship dashboards in days, not quarters.
D23 estimate, based on typical data-team workloads: hours saved on Superset ops, faster dashboard delivery, and self-serve analytics that no longer requires a dedicated analyst for every question. Your mileage depends on warehouse size and how many teams need access to data.
Not a demo. A team in the same kind of work, with results they published.
Nielsen
Financial Services · analytics
Nielsen migrated its enterprise BI stack to Apache Superset, reducing per-seat BI licensing costs by more than 60% and enabling its data teams to ship new dashboards in days instead of weeks.
60%+
BI licensing cost reduction
days
to ship a new dashboard
1 platform
replacing multiple BI tools
The strongest results come from teams with a connected warehouse, defined metrics, and dashboards their stakeholders actually use. That is exactly what D23 delivers.
40+
chart types in the no-code explorer
Teams answer their own questions in minutes. Your data team does real analysis.
Zero-downtime upgrades. No infra tickets. Just dashboards.
Your brand. Your data. Invisible infrastructure.
Natural language to insight in seconds.
SSO, row-level security, and audit logs — ready on day one.
One source of truth for every number in the business.
Get managed Apache Superset, the dashboards your business needs, and AI on top, without hiring a data team.