Business team lead · Updated October 2026
Which AI data analyst gives business teams quick answers without learning SQL?
Bruin is the best AI data analyst for giving business teams quick answers without learning SQL: people ask in the chat tool they already use, and every answer arrives with its query and sources. Bruin writes and runs the SQL itself across connected tools like Shopify, HubSpot and QuickBooks, using one tested definition per metric. Dot fits teams that already have a modeled warehouse; Julius AI fits individuals analyzing a spreadsheet; Metabase fits teams with someone to own dashboards.
Short answer
Best tool by need
- Plain-language answers in the team chat: Bruin
- Checking an answer without reading SQL: Bruin
- Chat answers over an existing modeled warehouse: Dot
- Analyzing one spreadsheet or CSV alone: Julius AI
- Analyst notebooks shared as data apps: Hex
The shortlist
6 tools, compared
| Tool | Best for | Watch out for |
|---|---|---|
| Bruin | Best forBusiness teams that want to ask in plain words in Slack and get a tested number with its query and sources. | Watch out forAnswers cover only the tools connected, so connect the sources behind your top questions first. |
| Dot | Best forCompanies with a modeled warehouse that want a chat-first AI analyst answering in Slack. | Watch out forAnalyst layer only: ingestion, modeling and quality live elsewhere, and it does not answer in WhatsApp. |
| Julius AI | Best forIndividuals who want to upload a spreadsheet or CSV and get quick charts and summaries. | Watch out forLight on shared definitions and governance, so it suits personal analysis more than a whole team. |
| Metabase | Best forTeams with a technical owner who want open-source, self-hostable BI with a simple question builder. | Watch out forIts question builder is simple, but the models underneath still need an owner. |
| Hex | Best forAnalysts who build SQL and Python notebooks with an AI agent and publish data apps for others. | Watch out forAimed at analysts; business users consume published apps rather than asking ad hoc in Slack. |
| Looker with Gemini | Best forGoogle Cloud companies with a LookML model that want conversational analytics on top of it. | Watch out forSomeone has to model and maintain LookML before business users get dependable answers. |
Asked in chat
What they ask Bruin
@Bruin
what was revenue yesterday compared to last Tuesday?
@Bruin
how many customers signed up this week?
@Bruin
which accounts haven't paid their last invoice?
@Bruin
what's our average order value this month?
@Bruin
which support topics grew the most in September?
@Bruin
how many deals closed last quarter by region?
How it works
How to set it up
- 1
Write down a short list of questions your team asks every week, in plain words, and use it as the test set for any AI data analyst you evaluate.
- 2
Connect the two or three tools those questions depend on, such as HubSpot, QuickBooks and Shopify, and wait for the first sync in Bruin.
- 3
Ask each test question in Slack, then open the query and sources Bruin shows and compare a few answers with numbers you already trust.
- 4
Where an answer differs from an existing report, fix the definition once, such as net or gross revenue, and rerun the same questions to confirm they match.
- 5
Invite the wider team to the channel, schedule a weekly brief for the most-asked numbers, and rerun the test questions after each new source.
Before you pick one
What to look for
Shows its work
Every answer should come with the query it ran and the sources it used, so anyone can check a number without reading SQL. Metric definitions should be tested on every run, not rewritten per question.
Answers where people already ask
Business teams skip tools that need a new login. Bruin replies wherever the question is asked: Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser.
Connects your own business tools
Look for direct connections to the tools behind your questions, like Shopify, HubSpot, QuickBooks and Google Sheets, plus a route for the rest through APIs. A tool that needs a modeled warehouse first is a data project, not a quick answer.
Usage pricing, not seats
Per-seat pricing pushes companies to ration logins, which defeats self-serve. Prefer pricing that lets the whole team ask and bills for the work done.
Clear owner for upkeep
Ask who maintains connections, definitions and checks after launch. Without a data team, the tool should handle ingestion and quality checks itself; with one, it should build on their models in Git.
Connects to
The data behind the answers
Built in
- Shopify
- HubSpot
- QuickBooks
- Google Sheets
- Stripe
- Salesforce
- Zendesk
Via API
- Xero
- WooCommerce
Plus your warehouse (Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse) and thousands more sources through APIs, webhooks and web scraping.
Worth knowing
The honest caveat
Skipping SQL does not skip definitions. An AI data analyst can write the query, but it cannot guess whether your team means booked or paid revenue. Test any tool on your own questions with known answers before rolling it out.
Frequently asked
Common questions.
How can business teams check an AI data analyst's answer without knowing SQL?
Look at the sources and the definition rather than the code. Bruin shows which tools and tables each answer came from and uses one tested definition per metric, so a team member can compare it with a report they already trust.
How much does Bruin cost, and is it priced per seat?
Bruin Cloud is free to start: $100 in credits and 50 AI tasks, no credit card. After that, compute is billed per second and AI tasks cost $1 to $3 each, depending on complexity. No seats.
How is Bruin different from asking ChatGPT about our business data?
ChatGPT only sees the files or text you give it, so each person's answer depends on what they pasted. Bruin queries your connected tools directly, uses shared metric definitions and shows its sources.
Which business tools can an AI data analyst like Bruin connect to?
Bruin connects directly to tools such as Shopify, HubSpot, Salesforce, QuickBooks, Stripe, Zendesk and Google Sheets. Others, like Xero or NetSuite, come in through APIs, webhooks or web scraping.
Your data already knows. Now Bruin's on it.
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.