What is the difference between Equals and BigQuery ML?

Equals focuses on Database connections and is paid, while BigQuery ML specializes in SQL-based ML and is paid. Both are AI Data Analysis tools.

Is Equals or BigQuery ML better?

It depends on your needs. Equals excels at Familiar spreadsheet UI, while BigQuery ML is known for No data movement. Compare their features above to decide which fits your workflow.

Equals vs BigQuery ML

AI Data Analysis tools comparison · Updated 2026

Choosing between Equals and BigQuery ML? Both are popular AI Data Analysis tools. Equals starts at From $49/mo and focuses on Database connections. BigQuery ML starts at Paid and specializes in SQL-based ML. Here's a detailed side-by-side comparison to help you decide.

At a Glance

	Equals	BigQuery ML
Category	AI Data Analysis	AI Data Analysis
Pricing	paid	paid
Starting Price	From $49/mo	Paid
Best For	data-analysis, spreadsheets, sql	data-analysis, machine-learning, sql
Features	6 listed	6 listed

Equals

Modern spreadsheet with direct database connections, SQL, and team collaboration.

AI Data Analysis paid

Visit Equals → Alternatives

BigQuery ML

Google Cloud in-database ML for training and deploying models with SQL in BigQuery.

AI Data Analysis paid

Visit BigQuery ML → Alternatives

Feature Comparison

Equals	BigQuery ML
✓ Database connections	✓ SQL-based ML
✓ SQL editor	✓ In-database training
✓ Spreadsheet interface	✓ Classification models
✓ Version control	✓ Time series forecasting
✓ Collaboration	✓ Deep learning support
✓ Automated reporting	✓ Vertex AI integration

Pricing Comparison

Equals

paid

Starting at $49/mo

Starter at $49/user/mo. Business at $99/user/mo. Enterprise custom pricing.

BigQuery ML

paid

Pay-per-query pricing. ML model creation free for first 10GB/mo. On-demand at $6.25/TB queried.

Pros & Cons

Equals

Pros

+ Familiar spreadsheet UI
+ Direct database access
+ Built-in SQL
+ Great for data teams

Cons

− Expensive per user
− Newer product
− Limited integrations vs established tools

BigQuery ML

Pros

+ No data movement
+ SQL-native ML
+ Google Cloud integration
+ Pay-per-query pricing

Cons

− BigQuery lock-in
− Limited model types vs Python
− Costs scale with data volume

The Verdict

Both Equals and BigQuery ML are strong AI Data Analysis tools. Equals stands out for Familiar spreadsheet UI, making it ideal if that's your priority. BigQuery ML excels at No data movement, which may be more important for your workflow.