Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

Blaze SQLblazesql.com

Revolutionize data analytics with AI-driven, no-code SQL query generation.

Data & Analyticsblazesql.comTracked since 2026-08-193 discovery sources
8.8KBacklinks
787Referring domains
29Domain authority
+6.3%Referring domains · 90 days

Authority & distribution

How strong is Blaze SQL’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

8.8KCurrent snapshot

Referring domains

787Current snapshot

Authority

29Domain authority · category median 22

90-day move

+6.3%Referring domains, last 90 days
At 29, Blaze SQL sits above the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where Blaze SQL ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

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AI referral visibility

Which AI assistants are already sending Blaze SQL traffic?

Measured · Pro

Measured for this product: AI referral traffic, which assistants refer it and which pages those referrals land on.

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Product profile

What Blaze SQL is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“Blaze SQL”

Revolutionize data analytics with AI-driven, no-code SQL query generation.

Data & AnalyticsSeen 2026-08-19 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://www.blazesql.com/

Observed across 3 discovery sources.

Research questions

What the evidence answers about Blaze SQL.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What does BlazeSQL do?

BlazeSQL is an AI-driven, no-code tool that revolutionizes data analytics by automatically generating SQL queries from natural language questions. It allows users to turn questions into data insights without writing SQL, connecting to databases to provide answers like an AI data analyst.

What is BlazeSQL used for?

BlazeSQL is used for querying databases, creating dashboards, and extracting insights using natural language. It serves both technical and non-technical users, enabling them to get trusted, governed insights from their SQL databases without leaving their normal work environment.

Who is BlazeSQL for?

BlazeSQL is designed for both technical staff and non-technical business users. It offers specific modes for each group and is trusted by top teams, enabling non-technical teams to be onboarded reliably by learning from feedback and measuring its own accuracy.

What features does BlazeSQL offer?

BlazeSQL features a self-learning AI that requires no manual setup, automatically extracting database structure and querying immediately. It allows users to get insights in tools like ChatGPT and Claude, and offers easy creation of personal dashboards with drag-and-drop functionality.

What is BlazeSQL?

BlazeSQL is an AI data analytics tool that generates SQL queries using a chat interface, connecting to SQL databases for data analysis and insight extraction.

5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full Blaze SQL intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which 4 of them do it, and the 7 pages they land on.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured