BigML vs Chroma

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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
Chroma

Chroma

Open-source vector database with a managed cloud. Offers vector, keyword, and regex search with simple client libraries, usage-based pricing, and team plans for production apps.

Pricing Free / $250 per month
Category data
Difficulty Beginner
Type Web App
Status Active

Feature Tags Comparison

Only in BigML

machine-learningautomlapideploymentsgovernancecloud

Shared

None

Only in Chroma

vector-dbragsearchembeddingsmanagedopensource

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

Chroma

  • • Open-source core with identical APIs on managed Cloud
  • • Vector
  • • keyword
  • • and regex search for hybrid retrieval
  • • Usage-based pricing with a $0 starter and team plan
  • • Simple client libraries and docs for quick prototyping

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

Chroma

  • → RAG backends for chat and agents with hybrid filters
  • → Semantic search for docs
  • → notes
  • → and support portals
  • → Product search blending vector and keywords for relevance
  • → Analytics on unstructured text with metadata slicing

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

Chroma

developers data engineers and platform teams building RAG search and analytics who need an OSS path and a managed cloud with predictable pricing

Capabilities

BigML

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

Chroma

Collections and Queries Professional
Managed Cloud Professional
Hybrid Search Intermediate
Observability and Roles Intermediate

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