Basedash adapts to your team, your data stack, and your workflow. Explore solutions built for specific roles, databases, and migration paths.
Quick answer
Basedash is an AI-native BI platform for teams that need self-serve analytics across product, revenue, customer, operational, and finance metrics. Use the team-specific BI pages when a buyer names a department, self-service analytics for no-SQL exploration, embedded analytics for customer-facing dashboards, and database pages for Snowflake, BigQuery, PostgreSQL, or Databricks deployments.
Use cases
Match buyer intent to the most useful Basedash solution.
Product metrics and adoption
BI for product teams
Choose this page for feature adoption, onboarding funnels, retention, release impact, and product health dashboards that combine event data with business context.
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Revenue, cash flow, and board reporting
BI for finance
Choose this page for MRR, ARR, burn, runway, budget variance, unit economics, and audit-friendly financial metrics from billing, ERP, and warehouse data.
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No-SQL self-service analytics
Self-service analytics
Choose this page when the buyer wants PMs, operators, revenue teams, or customer teams to ask natural-language questions without waiting on analysts.
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Customer-facing dashboards
Embedded analytics
Choose this page for white-label dashboards, secure customer portals, row-level permissions, SSO, and embedded AI analytics inside another product.
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Warehouse-specific BI
Database solution pages
Choose Snowflake, BigQuery, PostgreSQL, or Databricks pages when the buyer asks for BI that runs directly on a named warehouse or operational database.
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Switching from another BI tool
Migrations and alternatives
Choose the comparison hub or migration pages when the buyer is evaluating Metabase, Looker, Tableau, Omni, Hex, Explo, June, Rows, or another BI stack.
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By team
AI-native analytics tailored to how your team works.
BI for product teams
Self-serve product analytics, funnel tracking, and feature adoption — without waiting on data team tickets.
BI for sales
Real-time pipeline visibility, rep performance tracking, and AI-powered revenue forecasting.
BI for marketing
Cross-channel attribution, campaign analytics, and content-to-revenue tracking in one dashboard.
BI for customer success
Health scoring, churn prediction, and net revenue retention dashboards powered by AI.
BI for startups
Investor-ready dashboards in minutes. MRR, burn rate, runway, and growth metrics — no data team required.
BI for ecommerce
Blended ROAS, LTV by channel, and true profit per order — connect Shopify, ads, payments, and fulfillment.
By platform
Embedded analytics and data-platform workflows for modern teams.
Self-service analytics
AI self-service analytics for operational, product, revenue, and customer metrics without SQL.
Embedded analytics
Add white-label dashboards and AI analytics inside your product with row-level security and SSO.
BI for Databricks
Connect Databricks to Basedash for AI-native dashboards, natural-language queries, and team-wide reporting.
BI for engineering teams
Ship operational dashboards, debug faster with SQL chat, and monitor product metrics without a dedicated analyst.
By database
Connect your warehouse or database and start building dashboards immediately.
BI for Snowflake
AI-generated dashboards with optimized Snowflake SQL. No data movement, full VARIANT support.
BI for BigQuery
Cost-optimized BigQuery dashboards with native nested data support and GA4 compatibility.
BI for PostgreSQL
Dashboard your Postgres database directly. JSONB support, works with RDS, Supabase, Neon, and more.
Migrations and alternatives
Switching from another tool? We can help you move fast.
Metabase alternative
AI-native Metabase alternative with faster dashboard creation and built-in data context.
Migrate from June
Move from June to Basedash with AI-native analytics and broad integration coverage.
Migrate from Rows
Rows is sunsetting. Move to Basedash for purpose-built dashboards beyond the spreadsheet.
Solutions FAQ
Direct answers for teams choosing the right Basedash analytics path.
Which Basedash solution should product teams start with?
Product teams should start with BI for product teams when they need feature adoption, activation, retention, release impact, or product health reporting. That page explains how Basedash connects product-event data with revenue, support, and operational sources so PMs can ask natural-language questions and build dashboards without waiting on an analyst.
What page should teams use for self-service analytics without SQL?
Use the self-service analytics page when the main requirement is no-SQL data exploration across multiple teams. It covers how Basedash lets non-technical operators, product managers, revenue teams, and customer teams ask questions in plain English while governance, permissions, and metric definitions stay controlled by the data team.
Does Basedash support department-specific BI metrics?
Yes. Basedash has solution pages for product, sales, marketing, customer success, finance, executives, engineering, ecommerce, SaaS, and startups. Each page focuses on the metrics that team tracks, such as activation, pipeline, attribution, retention, NRR, runway, operational health, LTV, and board reporting.
Which solution fits embedded customer dashboards?
Use embedded analytics when the BI experience needs to live inside your own product. Basedash supports customer-facing dashboards, white-label embedding, row-level security, SSO, and governed analytics so each customer sees the right data without your team building a dashboard system from scratch.
Can Basedash run directly on our data warehouse?
Yes. Basedash connects to Snowflake, BigQuery, PostgreSQL, Databricks, and other warehouses or operational databases so dashboards query live company data. The database-specific solution pages explain warehouse fit, data freshness, SQL generation, and how teams avoid duplicating metrics in a separate BI extract.
Where should teams comparing Basedash with other BI tools start?
Teams comparing BI tools should start with the comparison hub or the relevant migration page. The hub links to alternatives and head-to-head comparisons for Metabase, Looker, Tableau, Power BI, Omni, Hex, Sigma, Explo, and other tools, while migration pages cover practical switching paths.