Question 1

Can WeQuery modify or delete my data, even by accident?

Accepted Answer

No. Not because we promise it, because it's architecturally impossible. WeQuery runs SELECT queries only. The Validator Agent physically blocks DROP, DELETE, UPDATE, ALTER, TRUNCATE at the server level, independent of the AI model. Your credentials are AES-256 encrypted. Every tenant is isolated by Row Level Security. Even if we wanted to, we couldn't touch your data.

Question 2

Is the SQL actually reliable, or the kind of 'almost right' that creates bad decisions?

Accepted Answer

That's the right question, and we're glad you're asking it. WeQuery isn't a GPT prompt bolted to your database. Every question runs through 18 specialized agents: schema analysis, SQL generation, security validation, BigQuery cost estimation, execution, coherence verification, and insight synthesis. You always see the SQL that was generated, copy it, verify it, run it yourself. If the result looks inconsistent, WeQuery flags it before it reaches you. We deliberately made it take 10 more seconds to get right. That trade-off was intentional.

Question 3

Which databases do you support?

Accepted Answer

PostgreSQL, MySQL, BigQuery, SQLite, Google Analytics (GA4), and Google Search Console. Snowflake, Redshift, and MongoDB are coming this quarter. If your database isn't there yet, write to us, we prioritize by demand.

Question 4

Do I need to provide my own AI key?

Accepted Answer

No. WeQuery includes AI built-in, no key to provide, no configuration needed. You can also connect your own OpenRouter or OpenAI key if you'd rather keep control over your models.

Question 5

How long does it actually take to be up and running?

Accepted Answer

We've timed it: under 5 minutes from account creation to first answer. Create account, paste credentials, sync schema, ask your first question. No config files, no data pipelines, no onboarding call.

Question 6

Can my non-technical team really use this without any training?

Accepted Answer

That's the whole point. If they can write a sentence, they can query your database. The business glossary means WeQuery understands their vocabulary from day one. Role-based permissions ensure they only see what they should, and can't break anything.

Question 7

Why not Metabase, ThoughtSpot, or Looker?

Accepted Answer

Metabase: SQL required for any custom query, no natural language, server to manage. ThoughtSpot: $50K/year minimum, 6-week implementation, requires a data team. Looker: needs a data engineer to configure LookML models. WeQuery: natural language, proactive alerts, native Google Analytics, business glossary, 5-minute setup. The question isn't why choose WeQuery. It's why you waited this long.

Query BigQuery yourself. No data engineer. No SQL. No bill shock.

Connect in 3 steps

Connect your Google account

Select your project and dataset

Ask your question

Example questions

Built for BigQuery's real constraints

Cost estimation before running

Google OAuth, zero credentials to manage

Partitioned tables supported

Multi-project

Compatible configurations

Your whole team accesses BigQuery. Not just the people who can write SQL.