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Akkio vs Looker

AI Data Analysis tools comparison · Updated 2026

Choosing between Akkio and Looker? Both are popular AI Data Analysis tools. Akkio starts at Freemium and focuses on No-code ML models. Looker starts at Paid and specializes in LookML modeling. Here's a detailed side-by-side comparison to help you decide.

At a Glance

Akkio Looker
Category AI Data Analysis AI Data Analysis
Pricing freemium enterprise
Starting Price Freemium Paid
Best For data-analysis, no-code, predictive-analytics data-analysis, business-intelligence, google-cloud
Features 6 listed 6 listed

Akkio

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

AI Data Analysis freemium
VS

Looker

Google Cloud BI with LookML semantic layer and Gemini AI-powered analytics.

AI Data Analysis enterprise

Feature Comparison

Akkio Looker
No-code ML models LookML modeling
Predictive analytics Embedded analytics
Data forecasting Gemini AI integration
Chat data explore API-first design
Automated reporting Data governance
API deployment Git version control

Pricing Comparison

Akkio

freemium

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

Looker

enterprise

Custom pricing through Google Cloud. Looker Studio is free. Looker enterprise requires quote.

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

Looker

Pros
  • + Strong semantic layer
  • + Git-based workflows
  • + Scalable
  • + Excellent embedded analytics
Cons
  • LookML learning curve
  • Expensive
  • Tied to Google Cloud

The Verdict

Both Akkio and Looker are strong AI Data Analysis tools. Akkio stands out for Very easy to use, making it ideal if that's your priority. Looker excels at Strong semantic layer, which may be more important for your workflow. Price-wise, Akkio is freemium while Looker is enterprise, so budget may also factor in.

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