Redis
An in-memory data store we use for caching, session storage, and rate limiting to keep applications fast under load.
Discuss your projectRedis's in-memory speed makes it the right tool for data that needs to be read constantly and doesn't belong in a relational database — session tokens, rate-limit counters, cached query results, and job queues.
We layer Redis in front of a primary database to absorb read-heavy traffic, or use it directly for short-lived state like OTP codes and background job queues.
How we use Redis
Application caching
Caching expensive query results to keep response times fast under load.
Session & token storage
Fast, short-lived storage for sessions, OTP codes, and rate-limit counters.
Background job queues
Queueing async work like email sending or image processing.
More database technologies
MongoDB
A flexible document database we use when a project's data doesn't map cleanly to rigid relational tables.
MySQL
A reliable, widely supported relational database that powers most of our production backends, including this site.
PostgreSQL
An advanced open-source relational database with strong support for complex queries, JSON, and geospatial data.
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