Introducing Basedash in English, Español, Français, and Português
Choose English, Español, Français, or Português in profile settings and the Basedash interface switches instantly, with no page reload.
Max MusingFundador e CEO da Basedash- Max MusingFundador e CEO da Basedash
Best BI tools for Supabase (2026): dashboards that respect RLS, from AI to open source
Basedash, Metabase, Grafana, Preset, Retool, Evidence, Hex, and Lightdash compared as BI on top of Supabase Postgres: RLS, AI, embedding, and pricing.
Max MusingFundador e CEO da Basedash
Best BI tools with usage-based pricing for growing teams (2026)
Domo, ThoughtSpot, Sigma, Hex, Cube Cloud, Basedash, and Snowflake Cortex Analyst compared on how usage is metered, hidden costs, and today's prices.
Max MusingFundador e CEO da Basedash
Introducing AI Sources: see what built every answer
Inspect the tables, definitions, charts, connections, web pages, SQL, and returned rows behind every AI answer in Basedash.
Max MusingFundador e CEO da Basedash
“Avaliamos a Omni e outras ferramentas de BI, mas a velocidade até o insight com a Basedash é incomparável.”
Greg Demoge
Cofundador e CPO · FullEnrich
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“Para uma empresa tão preocupada com segurança quanto a nossa, a Basedash conectou instantaneamente. Relatórios que levavam semanas ficam prontos em horas.”
Claudio Godoy
AI Agents Lead · Taxfyle
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SQL for data analysis: a practical guide to the queries that do the work
SQL for data analysis means using a small set of query patterns to answer real questions from data. Learn the essential functions, patterns, and when to stop.
Rachel van der LugtFounding Enterprise GTM na Basedash
Data exploration: how to get to know a dataset before you analyze it
Data exploration is how you get to know an unfamiliar dataset before analyzing it. Learn a repeatable workflow, a profiling checklist, and mistakes to avoid.
Max MusingFundador e CEO da Basedash
Data debt: what it is, how it builds up, and how to pay it down
Data debt is the accumulated cost of shortcuts in your data, metrics, and dashboards. Here's how to spot it, price it by impact, and pay it down steadily.
Max MusingFundador e CEO da Basedash
Vanity metrics vs actionable metrics: how to tell the difference
A vanity metric looks impressive but never changes a decision. Here's a four-question test to separate vanity metrics from actionable ones on any dashboard.
Max MusingFundador e CEO da Basedash
How to build a customer 360 view without a CDP
A customer 360 is one unified record per customer joined from your CRM, product, billing, and support data. Here's how to build one in your warehouse.
Max MusingFundador e CEO da Basedash
Measures vs dimensions: the distinction behind every chart
Dimensions are what you group by; measures are the numbers you aggregate. Here's how to tell them apart and why the split shapes every chart you build.
Max MusingFundador e CEO da Basedash
Introducing Basedash for Grok Bot
Install the official Basedash plugin in Grok Bot to ask questions of governed company data and list the connected sources available to you.
Max MusingFundador e CEO da Basedash
Data cardinality: what it is and how it shapes your dashboards
Data cardinality is the number of distinct values in a column. Here's why it shapes dashboard speed, chart choices, and filters, and how to tame it.
Max MusingFundador e CEO da Basedash
How to build dashboards on MySQL data
How to build dashboards on MySQL: connect a BI tool safely, keep heavy reporting queries off production writes, and choose live queries vs a read replica.
Max MusingFundador e CEO da Basedash
Power BI vs Excel: which should you use for reporting?
Power BI vs Excel for reporting: use Excel for ad hoc analysis and modeling, Power BI for recurring dashboards from live data. A practical guide to choosing.
Max MusingFundador e CEO da Basedash
ETL vs ELT: what the difference means for your analytics stack
ETL transforms data before loading it; ELT loads raw data first, then transforms it in the warehouse. Here's how they differ and which one fits your stack.
Max MusingFundador e CEO da Basedash
How to analyze an A/B test with SQL
Analyze an A/B test with SQL: count users and conversions per variant, calculate lift, run a two-proportion z-test, and avoid the mistakes that fake wins.
Max MusingFundador e CEO da Basedash