Dev tools · September 21, 2023
Biq Blue – Destroy Your Google BigQuery Costs
Hi! I've been working on Biq Blue, a tool engineered to analyze your Google BigQuery tables, storage, and requests with the goal of drastically reducing your costs. Currently in early free beta, Biq Blue has already demonstrated its effectiveness on some big data sets. Essentially, it's a server that connects to your BigQuery database via the gcloud CLI, conducts analyses, and opens an HTTP port to serve both results and recommendations over web pages. Your data stays local, ensuring it never leaves your enterprise (I may only collects anonymous usage statistics and the email tied to your…
What it does
In the maker’s words, at launch
Hi! I've been working on Biq Blue, a tool engineered to analyze your Google BigQuery tables, storage, and requests with the goal of drastically reducing your costs. Currently in early free beta, Biq Blue has already demonstrated its effectiveness on some big data sets. Essentially, it's a server that connects to your BigQuery database via the gcloud CLI, conducts analyses, and opens an HTTP port to serve both results and recommendations over web pages. Your data stays local, ensuring it never leaves your enterprise (I may only collects anonymous usage statistics and the email tied to your gcloud account) I’ve developed versions for Windows, MacOS, and Linux, as well as a Docker version, which can be installed directly on your infrastructure, enabling multiple users to access Biq Blue simply through a web browser. I’ve spent some time working on the “packager” to ensure that the installation process is as smooth and easy as possible. Consequently, any feedback regarding installation would be particularly appreciated :) Screenshots and documentation are available on the public GitHub page ( https://github.com/biqblue/docs ). Is it clear enough for you to go through the installation and startup process without any issues? Any additional feedback or advice is also more than welcome! Thanks !
Does the same job
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- CWCloudClerk. We struggled with BigQuery finops, so we decided to fightJan 2026 · cloudclerk.ai · ▲5
Hello HN, Lucas here. I’ve been working with BigQuery for ~5 years, mostly in large (petabyte-scale) environments. Over time we ended up spending a lot of money and engineering effort just trying to understand where costs were coming from, why and how to optimize them. At some point we decided to stop, leverage all our past experience and spend a full cycle building tooling focused on cost visibility and optimization. The main goal was to regain ownership of cost data and make it possible to understand our cost structure in under a minute, while aligning the views of engineering and FinOps…



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