Databases (Core)

dogpile.cache

High-performance caching for Python applications

Status
Generally available
Last checked
Checked · Oct 15, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

dogpile.cache is a next-generation replacement for Beaker, offering high-performance caching solutions for Python applications. It provides efficient and scalable caching mechanisms to improve application performance.

dogpile.cache stands out for its high-performance and flexible caching mechanisms tailored specifically for Python applications, offering a robust alternative to Beaker.

When it fits — and when it doesn’t

A good fit for

  • Python developers looking to optimize application performance with efficient caching solutions

  • Teams working on web applications that require frequent database queries and can benefit from caching

Look elsewhere if

  • Projects requiring real-time data updates where cached data could cause issues

  • Applications with minimal read operations, as the overhead of setting up caching might outweigh benefits

Known weaknesses

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

  1. 01

    Limited documentation for advanced use cases

    Official documentation lacks examples for complex configurations and edge cases

  2. 02

    Small community and limited third-party support

    GitHub issues have slow response times, few contributors compared to more popular caching solutions like Redis or Memcached

What it does well

  • High-performance caching mechanisms

  • Support for various backends including memory, file system, and database

  • Integration with SQLAlchemy for ORM-based applications

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 dogpile.cache

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

Open the setup guide →
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