Best AI Assistant for Google BigQuery

What Carly can do with Google BigQuery

Query data in plain language

Email or text Carly a question like "how many orders did we get last week" and she translates it into a BigQuery SQL query, runs it, and sends you the result. No SQL writing required.

Get table schemas and dataset overviews

Ask Carly what tables and columns exist in your BigQuery dataset and she lists the schema — column names, data types, and descriptions. Useful for understanding your data model before a meeting or analysis.

Pull data summaries and comparisons

Text Carly for a summary of any metric — revenue, signups, active users — and she queries BigQuery and includes comparisons to previous periods. Great for quick status checks without building a dashboard.

Run scheduled data pulls

Ask Carly to send you a weekly or monthly summary of key metrics from BigQuery and she runs the queries on schedule and emails you the results. Like a lightweight reporting layer on top of your data warehouse.

Why teams are using AI to query Google BigQuery

Google BigQuery is a powerful data warehouse, but getting answers from it usually means writing SQL. For teams that store their analytics, event data, or business metrics in BigQuery, every data question becomes a query-writing exercise — open the console, remember the table schema, write the SQL, run it, and interpret the results. Non-technical stakeholders either wait for an analyst to pull the numbers or don't get the data at all.

AI tools for BigQuery should turn data questions into plain-language conversations. Instead of writing SQL to find out how many users signed up last week or what your top-performing product is, you should be able to ask and get the answer. Your data warehouse holds the answers to most business questions — getting those answers shouldn't require SQL fluency.

How Carly works as your AI BigQuery assistant

Carly connects to your Google BigQuery project through the API. Once connected, you query your data over email or text — like having a data analyst on call who knows your schema and can pull any number instantly.

Need to know how many new users signed up this month? Email Carly and she queries BigQuery and sends you the number with a comparison to last month. Want a breakdown of revenue by region? Text Carly and she runs the aggregation and sends you the results in a clean table. Need to check what columns are in a table before a meeting? Ask Carly and she pulls the schema.

Because Carly connects to 200+ tools, she can tie your BigQuery data into broader context. She can pull conversion numbers from BigQuery and cross-reference them with campaign data from Google Ads or HubSpot, or send a weekly data summary to your Slack channel.

Who uses Carly with Google BigQuery

Business leaders who need numbers from BigQuery but don't write SQL. Marketing teams who want campaign performance data without waiting for an analyst. Product managers who need user metrics, funnel data, or feature adoption numbers on demand. Data teams who want a faster way to run quick queries without opening the BigQuery console — especially for ad hoc questions that don't warrant building a dashboard.

See it in action

Mail

BigQuery — monthly revenue breakdown 2 messages

Y

You 8:45 AM

To: Carly

Carly, can you pull our revenue by product line for March? I need total revenue and order count for each product line. The data is in the sales.orders table. Also compare it to February.

C

Carly 8:46 AM

To: You

Queried the sales.orders table in BigQuery — here's your March revenue by product line with February comparison: **March Revenue by Product Line** | Product Line | Revenue | Orders | vs. Feb | |---|---|---|---| | Enterprise | $284,500 | 38 | +12.4% | | Professional | $142,300 | 215 | +8.1% | | Starter | $43,800 | 892 | -3.2% | | Add-ons | $18,600 | 1,204 | +22.7% | **Totals** • March total: $489,200 (2,349 orders) • February total: $451,800 (2,187 orders) • Month-over-month: +8.3% Enterprise and Add-ons drove most of the growth. Starter dipped slightly — could be worth looking into whether a pricing change or churn increase is behind it. Want me to break down Starter by week to see when the drop happened?

How to connect Google BigQuery to Carly

1

Sign up for Carly

Create your account in under 2 minutes.

2

Connect Google BigQuery

Authorize the Google BigQuery integration from your Carly dashboard. One click, and you're connected.

3

Start giving instructions

Email or text Carly with what you need done in Google BigQuery. She handles the rest.

Automate Google BigQuery in 2 minutes

No complex setup. No code. Just tell Carly what you need.

Get Started →

Frequently asked questions

What is the best AI tool for Google BigQuery?

Carly is an AI assistant that connects to Google BigQuery and lets you query data, pull summaries, check schemas, and get metric comparisons — all by email or text. She translates your plain-language questions into SQL and sends you the results without requiring you to open the BigQuery console.

Can AI query Google BigQuery without SQL?

Yes. With Carly, you email or text a data question like "how many users signed up last month" and Carly writes the SQL, runs it against your BigQuery dataset, and sends you the results. No SQL knowledge required.

How does Carly connect to Google BigQuery?

Go to your Carly dashboard, click Connect next to Google BigQuery, and authorize access with your Google Cloud credentials. Once connected, Carly can query tables, check schemas, and pull data from any BigQuery dataset you grant access to.

Can Carly handle complex BigQuery queries?

Yes. Carly can handle joins, aggregations, window functions, and multi-table queries. Describe what you need in plain language — like "show me the top 10 customers by lifetime value with their most recent order date" — and she builds and runs the appropriate SQL.

Is my BigQuery data secure with Carly?

Yes. Carly accesses BigQuery through Google's standard OAuth authorization. She only queries datasets you've explicitly granted access to, and your data isn't stored after the query results are delivered.

Is Carly different from the BigQuery console?

Yes. The BigQuery console requires you to write SQL and navigate the Google Cloud UI. Carly lets you ask data questions in plain language from your inbox — she writes the SQL, runs the query, and sends you formatted results. She also connects to 200+ other tools so she can cross-reference your BigQuery data with CRM, marketing, and product data.

Related integrations

View all 200+ integrations →