Keywords AI

Arize AI vs Galileo AI

Compare Arize AI and Galileo AI side by side. Both are tools in the Observability, Prompts & Evals category.

Quick Comparison

Arize AI
Arize AI
Galileo AI
Galileo AI
CategoryObservability, Prompts & EvalsObservability, Prompts & Evals
PricingFreemiumFreemium
Best ForML teams who need comprehensive observability spanning traditional ML models and LLM applicationsAI teams who need to measure and improve the quality of their LLM outputs
Websitearize.comrungalileo.io
Key Features
  • ML observability with LLM support
  • Embedding drift detection
  • Performance dashboards
  • Automatic monitors and alerts
  • Open-source Phoenix companion
  • LLM output quality evaluation
  • Hallucination guardrails
  • RAG evaluation metrics
  • Data-centric AI debugging
  • Automated error detection
Use Cases
  • Production ML and LLM monitoring
  • Embedding quality monitoring
  • Model performance tracking
  • Drift detection for AI systems
  • Root cause analysis for AI failures
  • Monitoring LLM output quality
  • Detecting and preventing hallucinations
  • Evaluating RAG pipeline accuracy
  • Debugging data quality issues
  • Continuous quality assurance

When to Choose Arize AI vs Galileo AI

Arize AI
Choose Arize AI if you need
  • Production ML and LLM monitoring
  • Embedding quality monitoring
  • Model performance tracking
Pricing: Freemium
Galileo AI
Choose Galileo AI if you need
  • Monitoring LLM output quality
  • Detecting and preventing hallucinations
  • Evaluating RAG pipeline accuracy
Pricing: Freemium

About Arize AI

Arize AI provides an ML and LLM observability platform for monitoring model performance in production. For LLM applications, Arize offers trace visualization, prompt analysis, embedding drift detection, and retrieval evaluation. Their open-source Phoenix library provides local tracing and evaluation. Arize helps teams identify quality issues, debug failures, and continuously improve AI system performance.

About Galileo AI

Galileo is a data intelligence platform for AI that helps teams evaluate, debug, and improve LLM applications. It provides metrics for hallucination detection, context adherence, chunk quality, and response completeness. Galileo's guardrails can be deployed in production to catch quality issues in real-time.

What is Observability, Prompts & Evals?

Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.

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