Data Pipelines

veri

Scalable Feature Store for efficient data management and retrieval.

Status
UnmaintainedNo commits in 1208 days.
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier · from $0

What it is

Veri is a scalable feature store designed to manage and retrieve features efficiently. It helps in building robust machine learning pipelines by providing reliable storage and access mechanisms for feature data.

Veri stands out as a self-hosted, scalable feature store that integrates seamlessly into Python-based machine learning workflows, offering efficient storage and retrieval mechanisms.

When it fits — and when it doesn’t

A good fit for

  • Teams needing scalable storage for feature data in their machine learning pipelines

  • Projects that require efficient retrieval of feature data without compromising on performance

Look elsewhere if

  • Real-time streaming applications requiring immediate access to features (batch-oriented architecture)

  • Applications with very strict latency requirements where every millisecond counts

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Small community and slow response to issues

    GitHub issue response times are often over a week, low number of contributors

What it does well

  • Scalable storage for feature data

  • Efficient retrieval mechanisms

  • Supports Python ecosystem

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up veri

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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veri — tracked on AI Navigator

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