BigML vs Arize Phoenix

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BigML

BigML

End to end machine learning platform with GUI and REST API that covers data prep modeling evaluation deployment and governance for cloud or on premises use.

Pricing Free trial, contact sales
Category data
Difficulty Beginner
Type Web App
Status Active
A

Arize Phoenix

Open source LLM tracing and evaluation that captures spans scores prompts and outputs, clusters failures and offers a hosted AX service with free and enterprise tiers.

Pricing Free, SaaS tiers by quote
Category data
Difficulty Beginner
Type Web App
Status Active

Feature Tags Comparison

Only in BigML

machine-learningautomlapideploymentsgovernancecloud

Shared

None

Only in Arize Phoenix

llmobservabilitytracingevaluationopensourceotel

Key Features

BigML

  • • GUI and REST API for the full ML lifecycle with reproducible resources
  • • AutoML and ensembles
  • • Time series anomaly detection clustering and topic modeling
  • • WhizzML to script and share pipelines
  • • Versioned immutable resources
  • • Organizations with roles projects and dashboards

Arize Phoenix

  • • Open source tracing and evaluation built on OpenTelemetry
  • • Span capture for prompts tools model outputs and latencies
  • • Clustering to reveal failure patterns across sessions
  • • Built in evals for relevance hallucination and safety
  • • Compare models prompts and guardrails with custom metrics
  • • Self host or use hosted AX with expanded limits and support

Use Cases

BigML

  • → Stand up a governed ML workflow
  • → Automate repeatable training and evaluation with WhizzML
  • → Detect anomalies for risk monitoring
  • → Forecast demand with time series
  • → Cluster customers and products
  • → Embed predictions through the REST API

Arize Phoenix

  • → Trace and debug RAG pipelines across tools and models
  • → Cluster bad answers to identify data or prompt gaps
  • → Score outputs for relevance faithfulness and safety
  • → Run A B tests on prompts with offline or online traffic
  • → Add governance with retention access control and SLAs
  • → Share findings with engineering and product via notebooks

Perfect For

BigML

Data scientists, analytics engineers, and ML platform teams who want a standardized GUI plus API approach to build govern and deploy models

Arize Phoenix

ml engineers data scientists and platform teams building LLM apps who need open source tracing evals and an optional hosted path as usage grows

Capabilities

BigML

AutoML and Models Professional
Pipelines with WhizzML Professional
Cloud or Private Enterprise
Versioning and Roles Professional

Arize Phoenix

Spans and Context Professional
Built in and Custom Intermediate
Clustering and Search Intermediate
Hosted AX Basic

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