Used For

• +**Spending 15 hours a week manually pulling data from different systems** → Automated pipelines refresh your dashboards while you sleep
• +**Your team makes decisions based on last month's stale reports** → Real-time dashboards show what's happening right now
• +**Building separate dashboards for every client eats your profit margins** → One template automatically filters data per customer
• +Built-in data warehouse stores your history - no more 'we lost 2019 data when Sarah left'
• +AI text analysis reads customer feedback sentiment so you don't have to

Best For

• >Your sales data is in Salesforce, accounting in NetSuite, and you're manually copying into Excel every week
• >You're a consultant who needs client dashboards that update automatically without rebuilding everything
• >Hit 50+ employees and executives keep asking for KPIs you don't have time to create

Not For

• -Solo founders or teams under 10 people — the features are built for multiple users and data sources you probably don't have yet
• -Companies with heavy technical teams — you'll hit the no-code limits and wish you'd just built custom pipelines
• -Anyone wanting simple reports — this is designed for complex data blending that might be overkill

Pairs With

• *Salesforce (your CRM data gets pulled in automatically instead of manual exports)
• *NetSuite (combines your accounting data with sales for actual profit dashboards)
• *MongoDB (connects to your app database for user behavior analytics)
• *Slack (where dashboard alerts land when KPIs hit thresholds)
• *Pipedrive (smaller teams' CRM data flows into the same dashboard as everything else)
• *Oracle (enterprise database connections for the heavy-duty data)
• *Snowflake (pulls from your existing data warehouse instead of replacing it)

The Catch

• !No current pricing info available, but the 'embed in your app' features suggest it won't be cheap once you scale
• !You're locked into their cloud-only approach - no offline access or self-hosting if that matters to you
• !The drag-and-drop ETL (moving data automatically) takes 1-2 days to learn despite the 'minutes' marketing claims

Bottom Line

Turns your data mess into dashboards without needing a data team or SQL knowledge.