Feast

An open source platform for managing and serving feature data to machine learning and AI applications at scale

Also known as
feast

What is Feast?

Feast manages feature infrastructure for machine learning, providing historical feature retrieval for model training and real-time feature serving for inference. It ensures features are consistent across training and production, point-in-time correct, and abstracts underlying data storage systems.

Independently observed

Feast pricing

We don't have Feast's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.

What Feast does

The capabilities that matter for feature stores, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Capabilities
Point in time correctness
✓
Feature registry catalog
✓
Streaming features
✓
On demand transforms
✓
Deployment model
Self hosted
Drift monitoring
✓
Embeddings vector support
✓
Multi cloud
✓
RBAC governance
✓
Lineage tracking
✓
Pricing model
Open source self host
Independently observed

Platform & deployment

Independently observed
Platforms
  • CLI
  • Web
  • Linux
Deployment
  • Cloud / SaaS
  • Self-hosted

Integrations (35)

Independently observed
  • Apache Iceberg
  • Databricks
  • Snowflake
  • AWS Glue
  • AWS EMR
  • Unity Catalog
  • Hadoop
  • DynamoDB
  • Redis
  • PostgreSQL
  • MySQL
  • MongoDB
  • Milvus
  • ClickHouse
  • FAISS
  • Apache Spark
  • MLflow
  • OpenLineage
  • dbt
  • Amundsen
  • DataHub
  • Databricks Unity Catalog•
  • Apache Polaris•
  • Project Nessie•
  • BigQuery•
  • DuckDB•
  • Spark•
  • Ray•
  • SQLite•
  • Iceberg•
  • ScyllaDB•
  • Aerospike•
  • Dask•
  • AWS•
  • GCP•

Security & compliance

Known vulnerabilities: 2 (1 in the last 12 months), max severity HIGH sourcea count reflects scale & disclosure, not quality

Feast FAQ

Common questions about Feast, answered from independent, dated evidence.

What is Feast?

A framework that manages feature data pipelines and serves structured features to machine learning models during both training and real-time inference at scale. It is indexed under Feature Stores.

Source: https://feast.dev

Is Feast free to use?

Feast is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.

Source: https://feast.dev

What platforms does Feast support?

Feast supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.

Source: https://feast.dev

Can Feast be self-hosted?

Yes. Feast can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.

Source: https://feast.dev

What does Feast integrate with?

We have confirmed 27 integrations for Feast, including Apache Iceberg, Databricks, Snowflake, AWS Glue, AWS EMR, Unity Catalog, Hadoop and DynamoDB, plus 19 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.

Source: https://feast.dev

Is Feast open source?

Yes. Feast is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.

Source: https://github.com/feast-dev/feast

Feast alternatives

Other feature stores we track, ranked by the same independent score.

All Feast alternatives, ranked →

Compare Feast

Side by side against other feature stores, attribute by attribute, with a source on every value.

Independent · unbought · dated

The vioscaleAI score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Feast, not the verdict.

Balanced composite 59 / 100
low · 40%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Development activity580.147.8✓
Capabilities960.087.7✓
Release cadence860.087.0✓
Stars730.053.4✓
Security score570.053.1✓
Integrations350.051.9✓
Dependent projects360.051.9✓
Security posture00.120.0-
Package downloads00.040.0-
Developer Q&A activity00.140.0-

Computed . Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Activity

AttributeValueEvidence
Commits last 30d67mediumsource · 2026-10-05 · 65%

Adoption

AttributeValueEvidence
Dependent repos140highsource · 2026-10-05 · 85%
Github stars7,320highsource · 2026-10-05 · 90%

Content

AttributeValueEvidence
Faq6 itemsmediumsource · 2026-09-10 · 66%

Features

AttributeValueEvidence
CapabilitiesMulti cloud: Yes · Pricing model: open-source-self-host · Rbac governance: Yes · Deployment model: self-hosted · Drift monitoring: Yes · Lineage tracking: Yesmediumsource · 2026-10-05 · 60%

Integrations

AttributeValueEvidence
Count16mediumsource · 2026-10-05 · 60%

Language

AttributeValueEvidence
PrimaryPythonhighsource · 2026-10-05 · 90%

License

AttributeValueEvidence
SpdxApache-2.0highsource · 2026-10-05 · 95%

Pricing

AttributeValueEvidence
Free tierYesmediumsource · 2026-10-05 · 60%
Modelopen_sourcemediumsource · 2026-10-05 · 60%
Price levelfreemediumsource · 2026-10-05 · 60%
TransparentYesmediumsource · 2026-10-05 · 60%

Release

AttributeValueEvidence
History20 itemsmediumsource · 2026-10-05 · 70%
Cadence days25mediumsource · 2026-10-05 · 70%

Security

AttributeValueEvidence
Scorecard5.7highsource · 2026-10-05 · 90%
VulnerabilitiesCount: 2 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=feast&per_page=100 · Last 12m: 1 · Max severity: HIGHhighsource · 2026-10-05 · 90%
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Last updated . Canonical URI: https://www.vioscale.ai/software/feast.