
How to connect BigQuery to a BI tool: a practical guide
Connecting BigQuery to a BI tool is easy. This guide covers connection methods, IAM setup, governance, and the cost controls that keep your bill predictable.
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Connecting BigQuery to a BI tool is easy. This guide covers connection methods, IAM setup, governance, and the cost controls that keep your bill predictable.

We run every async job in Basedash on Postgres with pg-boss. Three production incidents later, here's what we changed: a queue policy that silently dropped 92% of jobs, batch work starving live chats, and a connection pool that gave out at the top of every hour.

Write-back lets people edit data directly from a dashboard instead of just reading it. Here is how it works, the main patterns, the risks, and when to use it.

A practical buyer's guide to choosing business intelligence software for a small business: a fit test, a tool-type comparison, common mistakes, and a checklist.
“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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Connecting a BI tool to production is safe with a read-only role, statement timeouts, and a read replica. Here is the full setup, step by step, for Postgres and MySQL.

Lightdash and Omni read your dbt project, Steep, Hex, and Tableau query the dbt Semantic Layer, and Sigma syncs dbt metadata. How 12 BI tools for dbt compare.

A practical guide to sharing BI dashboards with clients, investors, and partners: the methods, the security tradeoffs, and a decision matrix for each.

Basedash for Slack is your AI data analyst inside Slack — now in the official Slack Marketplace. Mention @Basedash in any channel and get answers and charts back from your real data, plus automations and insights delivered where your team talks.

A practical guide to building a Salesforce analytics dashboard: the data model, the metrics that matter, sync pitfalls, and the tools that fit sales teams.

Data-driven decision making ties specific decisions to evidence. Here's a practical framework for doing it well, beyond just building more dashboards.

Seven BI tools with native semantic layers compared: Basedash, Holistics, Looker, Omni, Lightdash, Power BI, and ThoughtSpot on modeling approach, metric expressiveness, Git governance, AI readiness, and price.

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.

When DuckDB is the right backend for a BI tool. Covers production patterns, where it beats Snowflake or BigQuery, and where it breaks down.