What is the difference between Akkio and BigQuery ML?

Akkio focuses on No-code ML models and is freemium, while BigQuery ML specializes in SQL-based ML and is paid. Both are AI Data Analysis tools.

Is Akkio or BigQuery ML better?

It depends on your needs. Akkio excels at Very easy to use, while BigQuery ML is known for No data movement. Compare their features above to decide which fits your workflow.

Akkio vs BigQuery ML

AI Data Analysis tools comparison · Updated 2026

Choosing between Akkio and BigQuery ML? Both are popular AI Data Analysis tools. Akkio starts at Freemium and focuses on No-code ML models. 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

	Akkio	BigQuery ML
Category	AI Data Analysis	AI Data Analysis
Pricing	freemium	paid
Starting Price	Freemium	Paid
Best For	data-analysis, no-code, predictive-analytics	data-analysis, machine-learning, sql
Features	6 listed	6 listed

Akkio

No-code AI for predictive analytics, forecasting, and automated data insights.

AI Data Analysis freemium

Visit Akkio → 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

Akkio	BigQuery ML
✓ No-code ML models	✓ SQL-based ML
✓ Predictive analytics	✓ In-database training
✓ Data forecasting	✓ Classification models
✓ Chat data explore	✓ Time series forecasting
✓ Automated reporting	✓ Deep learning support
✓ API deployment	✓ Vertex AI integration

Pricing Comparison

Akkio

freemium

Free plan available. Scaling at $49/mo. Business at $99/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

Akkio

Pros

+ Very easy to use
+ Fast model building
+ No coding needed
+ Affordable

Cons

− Limited customization
− Smaller feature set than enterprise tools
− Dataset size limits on free tier

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 Akkio and BigQuery ML are strong AI Data Analysis tools. Akkio stands out for Very easy to use, 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, Akkio is freemium while BigQuery ML is paid, so budget may also factor in.