Databases (Core)

pickleDB

A simple and lightweight key-value store for Python.

Status
Generally available
Last checked
Aging · Sep 1, 2026
License
Open source
Pricing
Free tier · from $0

What it is

pickleDB is a straightforward and lightweight key-value database designed for Python applications. It provides an easy-to-use interface for storing and retrieving data, making it ideal for small-scale projects or as a temporary storage solution.

pickleDB stands out as an easy-to-integrate, lightweight key-value store for Python, ideal for small projects and rapid prototyping.

When it fits — and when it doesn’t

A good fit for

  • Developers working on small projects who need a lightweight database solution

  • Rapid prototyping and testing phases of application development

Look elsewhere if

  • Large-scale applications requiring robust transactional support

  • Projects needing high performance or complex query capabilities

Known weaknesses

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

  1. 01

    Limited scalability for large datasets

    Uses JSON files for storage, which can become inefficient and slow with larger data volumes

  2. 02

    Poor performance in high concurrency scenarios

    File-based storage mechanism can lead to contention issues when multiple processes access the database simultaneously

  3. 03

    Lack of advanced querying capabilities

    Only supports basic key-value operations, lacking support for complex queries or indexing

  4. 04

    No built-in data consistency guarantees

    Simple file-based storage does not provide transactional support or ACID compliance

What it does well

  • Simple and lightweight key-value storage

  • Easy to use with a Pythonic API

  • Persistent storage using JSON files

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 pickleDB

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

Open the setup guide →