Featureform
A high-performance, in-memory database server optimized for real-time applications with support for caching, data structures, and vector search
- Also known as
- featureform
What is Featureform?
An open-source in-memory data platform storing various data types and structures with sub-millisecond latency. It supports document indexing, vector embeddings for semantic search, full-text search, time-series data, event streams, and provides both self-managed and cloud-hosted deployment options.
What Featureform 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.
- 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
- -
Platform & deployment
Independently observed- CLI
- macOS
- Linux
- Cloud / SaaS
- Self-hosted
Integrations (3)
Independently observed- AWS•
- Google Cloud•
- Azure•
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Featureform FAQ
Common questions about Featureform, answered from independent, dated evidence.
What is Featureform?
A multi-purpose data system that provides caching, message streaming, session storage, full-text search, and feature serving for applications and machine learning systems. Offers both managed cloud deployment and on-premise deployment options. It is indexed under Feature Stores.
Source: https://www.featureform.com
Is Featureform free?
Featureform offers a free tier, so you can start without paying. Pricing changes often, so verify at source before relying on it.
Source: https://www.featureform.com
What platforms does Featureform support?
Featureform supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://www.featureform.com
Can Featureform be self-hosted?
Yes. Featureform can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://www.featureform.com
What does Featureform integrate with?
We have confirmed 3 integrations for Featureform, including AWS, Google Cloud and Azure. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://www.featureform.com
Is Featureform open source?
Yes. Featureform is published under the MPL-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.
Featureform alternatives
Other feature stores we track, ranked by the same independent score.
- FeastAn open source platform for managing and serving feature data to machine learning and AI applications at scalelow · 40%
- Amazon SageMaker Feature StoreA managed repository for storing, sharing, and reusing machine learning features across your ML lifecyclemedium · 65%
- Hopsworks Feature StoreAn integrated platform that manages the complete machine learning lifecycle with real-time feature serving capabilitieslow · 26%
- ChalkA real-time data platform providing infrastructure for AI agents and modelslow · 8%
- TectonA database that handles transactions, analytics, and artificial intelligence simultaneouslylow · 26%
- FeathrA Jekyll theme for building searchable documentation websites with extensive customizationlow · 33%
Compare Featureform
Side by side against other feature stores, attribute by attribute, with a source on every value.
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 Featureform, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Release cadence | 95 | 0.08 | 7.7 | ✓ |
| Capabilities | 67 | 0.08 | 5.4 | ✓ |
| Stars | 62 | 0.05 | 2.9 | ✓ |
| Integrations | 17 | 0.05 | 0.9 | ✓ |
| Dependent projects | 5 | 0.05 | 0.3 | ✓ |
| Development activity | 0 | 0.14 | 0.0 | - |
| Security posture | 0 | 0.12 | 0.0 | - |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Security score | 0 | 0.05 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
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.
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 6 items | mediumsource · 2026-09-10 · 65% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Multi cloud: Yes · Rbac governance: Yes · Deployment model: self-hosted · Streaming features: Yes · Embeddings vector support: Yes | mediumsource · 2026-09-18 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 3 | mediumsource · 2026-09-02 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Go | highsource · 2026-09-18 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | MPL-2.0 | highsource · 2026-09-18 · 95% |
Pricing
Release
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-09-02 · 60% |
Security
| Attribute | Value | Evidence |
|---|---|---|
| Vulnerabilities | Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=featureform&per_page=100 · Last 12m: 0 | highsource · 2026-09-18 · 90% |
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