This page is for BigQuery reps whose deal has Firebolt in it. It is built from 70 claims BigQuery makes on its own site and 66 that Firebolt makes on its own. Firebolt argues its case on managed and serverless, scale and performance and unified and multi-model, and those are the themes a buyer who has read Firebolt's site is most likely to bring to the call.
Firebolt's strengths
What Firebolt will say: the claims a buyer is most likely to bring to this deal.
Run JOINs and queries that span multiple databases in a single statement.
firebolt.io · read 2026-10-08HNSW vector search indexes over float arrays for low-latency similarity search.
firebolt.io · read 2026-10-08Runs as a single binary on your laptop, or as a 100-node cluster in the cloud. Same binary, same behavior.
firebolt.io · read 2026-10-08Adds a native JSON data type for efficient field access, user-defined schemas, Iceberg schema evolution, and HNSW vector indexes.
firebolt.io · read 2026-10-08
BigQuery's advantages
BigQuery's own claims: first where Firebolt says nothing, then on the themes this deal is fought over.
Automate governance and give context to agents
cloud.google.com · read 2026-10-22Perform semantic analysis with managed AI functions
cloud.google.com · read 2026-10-22Translate queries with an interactive SQL translator
cloud.google.com · read 2026-10-22Flexible with low-cost ML and interoperability with open source
cloud.google.com · read 2026-10-22
Figures you can lead with
- 54%
BigQuery offers up to 54% lower TCO versus cloud-based alternatives
cloud.google.com · read 2026-10-22 - 99.99%
BigQuery offers robust security, governance, and reliability controls that offer high availability and a 99.99% uptime SLA. Your data is protected with encryption by default and customer-managed encryption keys.
cloud.google.com · read 2026-10-22 - 10 GB
All customers get 10 GB storage and up to 1 TB queries free per month, not charged against their credits.
cloud.google.com · read 2026-10-22
Objections
Objections Firebolt creates for BigQuery reps
What a buyer says after reading Firebolt's site, answered with Validate → Pivot → Evidence and a coaching note.
8 objections
The objections below are our reading of what a buyer repeats after reading Firebolt's site, each answered with validate, pivot and evidence. Firebolt's own claims are summarised above; a free account shows every one. Every claim is quoted verbatim with its source and date. These are each vendor's own words, so nothing is scored above Competitive and we do not rule on which product is better.
Head of Data
Competitor · Managed and serverless
We've been looking at Firebolt for managed and serverless. How is BigQuery different there?
VALIDATE → PIVOT → EVIDENCE
Validate. Acknowledge that Firebolt is a credible choice on managed and serverless.
Pivot. Explore what specifically matters to them about managed and serverless, then differentiate on that, not generically.
Evidence. Offer a concrete outcome — a named customer, a pilot, a measurement they can repeat — rather than a positioning statement or a feature table.
Coaching note. Never bash the competitor. The explore step is about finding the cracks, not attacking the choice.
From Firebolt's claim: “It runs the same engine as the managed service — the same SQL and the same behavior everywhere — so you can develop locally and move to a cluster or to the managed service without changes.”firebolt.io
CTO
Competitor · Scale and performance
Scale and performance matters to us, and Firebolt makes a lot of it. What do we get from BigQuery that Firebolt doesn't give us?
VALIDATE → PIVOT → EVIDENCE
Validate. Acknowledge that both products make the case on scale and performance, so the buyer is right to ask what separates them.
Pivot. Ask which part of scale and performance matters most in their evaluation, then show where BigQuery's approach differs, with evidence.
Evidence. Offer a concrete outcome — a named customer, a pilot, a measurement they can repeat — rather than a positioning statement or a feature table.
Coaching note. Don't claim a difference you can't show. If the products genuinely overlap here, say so and move to the criteria where they don't.
From Firebolt's claim: “Run JOINs and queries that span multiple databases in a single statement.”firebolt.io
Others selling against Firebolt
Other products' reps selling against Firebolt.
Matchup pages for this product publish soon.
Changes
Recent changes
Claim changes on cloud.google.com and firebolt.io.
last checked 2026-10-22
No claim changes since we started reading.