Opinion page / measured product / rank 2
Firebase Studio Reviews and Ratings (2026)Sunsetting March 22, 2027
Reader ratings for Firebase Studio, aggregated on the same 0 to 100 scale we use for the lab index, with our own commentary underneath. If you are looking for Firebase Studio opiniones, reviews or a rating you can check, the measurements behind every claim are on the Firebase Studio benchmark page.
Reader index
74.74
5 voters, 42 axis scores. Never blended into the lab index.
Lab index
80.92
Measured on the vibeOps spec
Strict pass rate
86.7%
39 clean and 1 failed executions
Median turn latency
100.3 s per prompt
p90 161.3 s
Reader index
One score per reader per axis on a 0 to 100 scale, editable at any time.
Reader index
74.74
Lab index
80.92
5 readers, 42 axis scores, last change 31 Aug 2026. Readers rate Firebase Studio 6.2 points below the measurement.
Seeded at launch
The reader scores, lab notes and open ratings published here were written by this lab in August 2026 to populate the reader column before the site had readers. They are not customer submissions, they are not vendor supplied and nobody was paid for them. Anything submitted since then comes from a registered account. The lab index is measured from logged runs and is unaffected either way.
| Axis | Weight | Lab | Readers | Votes | Reader mean |
|---|---|---|---|---|---|
| Agent performance | 18% | 79.0 | 75.4 | 5 | |
| Reliability | 18% | 86.7 | 85.8 | 5 | |
| Scalability | 13% | 87.0 | 80.6 | 5 | |
| SEO and GEO | 12% | 73.0 | 68.4 | 5 | |
| API and MCP | 9% | 79.0 | 74.3 | 4 | |
| Integrations | 8% | 90.0 | 86.4 | 5 | |
| Design output | 7% | 72.0 | 73.0 | 1 | |
| Turn latency score | 7% | 65.0 | 28.8 | 5 | |
| Value | 5% | 92.0 | 78.3 | 3 | |
| Code ownership | 3% | 84.0 | 80.0 | 4 |
The reader index is a weighted mean of reader submitted axis scores using the published index weights, renormalised over the axes readers have scored. It is never blended into the lab index. How this works.
Score Firebase Studio
Your scores feed the reader column only. Submitting an axis again edits your existing score rather than adding a second vote.
Reader scores need an account so one person cannot vote twice. Create a reader account or sign in.
Reader scores are published in a separate reader index column. They never move the measured lab index.
Reader lab notes on Firebase Studio
Written by readers with an account. Sorted by upvotes, then by date.
Everything attached, and I paid for it in wall clock
David Novotny | 24 Aug 2026 Lab seeded
Auth, storage, scheduled functions and the datastore all wired up without me leaving the workspace, and none of them needed a second attempt. That is the strongest integration story in the index and my score says so. The cost is that every prompt round trips through a provisioned cloud workspace, so the median is materially worse than the local agents and the p90 is worse again on a bad afternoon. Also worth knowing before you start: the public pages came back client rendered until I asked for server rendering explicitly, which is a bad surprise to have after launch.
Hanna Kovacs | 26 Aug 2026 Lab seeded
This is the single most common thing I fix. By the time anyone notices the pages are not crawlable, the content is written and the rework is a rebuild rather than a setting.
Write a lab note
What you built, what broke, what you measured. Short opinions belong in the open rating form further down.
Open rating distribution
Open ratings submitted without an account. Neither the lab index nor the reader index is part of this average.
| Band | Share | Ratings |
|---|---|---|
| 90 to 100 | 0 | |
| 80 to 89 | 0 | |
| 70 to 79 | 0 | |
| 60 to 69 | 0 | |
| 0 to 59 | 0 |
Lab commentary
Our reading of the numbers, kept separate from the reader ratings.
Lifecycle notice, August 22, 2026: Google is sunsetting Firebase Studio on March 22, 2027, after which new workspaces can no longer be created. Google's stated migration paths are Google AI Studio and Google Antigravity, which is measured separately on this board, and the guide is at https://firebase.google.com/docs/studio/migrating-project. Everything below was measured while the product is fully available and is not discounted for a date seven months out. The widest integration surface of any builder we measured: auth, storage, scheduled functions and a managed datastore all attach without leaving the workspace. It pays for that in wall clock, since every prompt round trips through a provisioned cloud workspace rather than a local sandbox. Public pages came back client rendered unless server rendering was asked for by name, which is what holds the SEO subscore down.
On the measured axes, Firebase Studio is strongest at value with a subscore of 92.0 and weakest at turn latency score at 65.0. Because turn latency score carries 7 of the 100 index points, that weakness costs it roughly 2.45 points against a perfect result on that axis alone.
Reader ratings and lab measurements answer different questions. A reader rating carries the thing a harness cannot capture: whether the product was pleasant to work with over weeks, how support behaved, whether the bill matched the plan. The lab index carries the thing an opinion cannot: 45 timed executions of the same specification with the failures counted. Read them side by side and treat a large gap between the two as the interesting signal.
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