What is the difference between FullStory and BigQuery ML?

FullStory focuses on Session replay and is enterprise, while BigQuery ML specializes in SQL-based ML and is paid. Both are AI Data Analysis tools.

Is FullStory or BigQuery ML better?

It depends on your needs. FullStory excels at Excellent session replay, while BigQuery ML is known for No data movement. Compare their features above to decide which fits your workflow.

FullStory vs BigQuery ML

AI Data Analysis tools comparison · Updated 2026

Choosing between FullStory and BigQuery ML? Both are popular AI Data Analysis tools. FullStory starts at Paid and focuses on Session replay. 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

	FullStory	BigQuery ML
Category	AI Data Analysis	AI Data Analysis
Pricing	enterprise	paid
Starting Price	Paid	Paid
Best For	data-analysis, user-experience, session-replay	data-analysis, machine-learning, sql
Features	6 listed	6 listed

FullStory

Digital experience platform with session replay, heatmaps, and AI frustration detection.

AI Data Analysis enterprise

Visit FullStory → 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

FullStory	BigQuery ML
✓ Session replay	✓ SQL-based ML
✓ Heatmaps	✓ In-database training
✓ Frustration signals	✓ Classification models
✓ Product analytics	✓ Time series forecasting
✓ Error tracking	✓ Deep learning support
✓ AI insights	✓ Vertex AI integration

Pricing Comparison

FullStory

enterprise

Free trial available. Business and Enterprise plans with custom pricing based on sessions.

BigQuery ML

paid

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

Pros & Cons

FullStory

Pros

+ Excellent session replay
+ AI frustration detection
+ Rich DX insights
+ Powerful search

Cons

− Expensive
− Session-based pricing
− Privacy considerations

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 FullStory and BigQuery ML are strong AI Data Analysis tools. FullStory stands out for Excellent session replay, making it ideal if that's your priority. BigQuery ML excels at No data movement, which may be more important for your workflow. Price-wise, FullStory is enterprise while BigQuery ML is paid, so budget may also factor in.