Redis

Redis

Key-value cache and store.
1 review5 shoutouts
60 followers

Maker Shoutouts

Testimonials from top launches

Trending
Mikita Martynau
used this to buildSkarbe
(756 points)
We use Redis for real-time data caching, enabling lightning-fast access to frequently used information and improving the performance of integrations that require quick data retrieval.
CapybaraDB Beta
Tomo Kanazawa
used this to buildCapybaraDB BetaCapybaraDB Beta
(331 points)
Fast, quick, and cost-effective solution as an async worker message broker!
Vitaly Aver
used this to buildLayer
(1,026 points)
We use Redis as a high-speed cache to quickly access frequently-used data, reducing database load and enhancing response times for users.
Amploo
Alex Bilytskyi
used this to buildAmploo
(1,226 points)
The system excels in speed with its in-memory data storage, ensuring high performance. It features effective caching to enhance data access and lessen database strain. With support for diverse data structures like strings, lists, sets, and hashes, it is versatile and widely applicable for tasks such as caching, task queues, and session management.
Medusa
Nicklas Gellner
used this to buildMedusa 2.0Medusa
(673 points)
Caching and handling of your commerce events.
Reach from SalesStream.ai
Raphael Morozov
used this to buildReach from SalesStream.aiReach from SalesStream.ai
(327 points)
Thanks to Redis for zipping our data around at lightning speeds!
Drikerf
used this to buildFormulaer
(132 points)
Great key value store for background jobs with Celery.
CJIT
Jaromil
used this to buildCJITCJIT
(34 points)
CJIT includes Kilo as live editor, written by Antirex, well known to be the author of Redis
SplitHub.io
Andrei Babrounik
used this to buildSplitHub.ioSplitHub.io
(96 points)
By incorporating Redis, we achieve high-speed caching and data storage, enhancing the performance and responsiveness of our application.
UbiOps
Anouk Dutrée
used this to buildUbiOpsUbiOps
(52 points)
We’re very happy with Redis! Its efficiency and speed have been game-changers for us, supporting the development of our highly scalable internal queuing system. Thank you, Redis, for supercharging our systems and helping us scale with ease!