
How we cut our client bundle from 26 MB to 18 MB
We ran rollup-plugin-visualizer against the Basedash client bundle and found 7 MiB of stuff we didn't need to ship. Here's what was in there, why, and how we got rid of it.

We ran rollup-plugin-visualizer against the Basedash client bundle and found 7 MiB of stuff we didn't need to ship. Here's what was in there, why, and how we got rid of it.

Power BI works, until it doesn't. Compare 8 alternatives by cost, AI features, semantic layer support, Mac/web access, and how migrations actually go.

A practical guide to connecting MongoDB to a BI tool. Covers Atlas SQL, the legacy BI Connector, ETL to a warehouse, schema tradeoffs, and tool options.

AI BI tools sometimes return wrong SQL, wrong charts, and wrong explanations. A practical guide to where hallucinations happen and how to design around them.
“We evaluated Omni and other BI tools, but the speed to insight with Basedash is unmatched.”
Greg Demoge
Co-founder & CPO · FullEnrich
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“For a security-conscious company like ours, Basedash instantly clicked. Reports that took weeks are ready in hours.”
Claudio Godoy
AI Agents Lead · Taxfyle
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When DuckDB is the right backend for a BI tool. Covers production patterns, where it beats Snowflake or BigQuery, and where it breaks down.

A workflow guide to building a board reporting dashboard. Covers the four sections to include, the metrics that belong in each, layout patterns, narrative, and cadence.

A practical four-layer framework for BI permissions: identity, workspace, dataset, and row level. Covers role design, common mistakes, and how major BI tools enforce access.

Create reusable SQL definitions for metrics and models, then let Basedash AI reference them across chat, charts, dashboards, insights, and automations. Define the metric once. Use it everywhere.

BI demos all look the same. Use this 45-question checklist across data, modeling, AI features, governance, pricing, and support to evaluate vendors honestly.

What drill-down and drill-through mean in BI tools, how they differ in practice, when each one matters, and how major tools implement them.

Drag in edit mode froze the page for over a second on big dashboards. The cause was 97 Replicache subscriptions re-running on every keystroke. Here's how we moved the read path to TanStack DB collections backed by SSE, and kept Replicache for writes.

Multi-tenant analytics architecture for SaaS embedded dashboards. Compares silo, pool, and bridge models, where to enforce tenant isolation, and common mistakes.

A practical guide to building a HubSpot analytics dashboard. Metrics, data model, common pitfalls, and tools that fit revenue ops teams.

A step-by-step Looker migration playbook: audit LookML, choose a replacement, rebuild dashboards, run cutover, and decommission. Includes a checklist.

Most SaaS teams track KPIs in a flat list. A metric tree connects a north-star metric to the drivers and inputs people can actually move. Here's how to build one.

Embed Basedash inside your own product so your customers get dashboards and the Basedash AI agent on their own data — without ever leaving you. Row-level security keeps every customer to their own data. Analytics, inside your product.