Technology · Data
Keeps frequently used data in fast memory, so apps stay quick on busy days and live features like order tracking feel instant.
How we use it
Redis keeps frequently used data in memory for very fast reads and writes, which we use for caching, job queues, rate limits, sessions and real-time location lookups.
Official site: redis.io (opens in new tab)
Redis is an in-memory data store: it keeps frequently used information in the server's memory, where it can be read far faster than from a normal database. It works beside your main database rather than replacing it. For you, that means pages that stay quick when many customers arrive at once, and live features that update in real time.
Redis rarely holds the source of truth. It sits beside the main database to take pressure off it and make real-time features practical: a menu cached for thousands of users, a queue of notifications to send, or the live positions of delivery partners.
Use cases
Menus, catalogues and configuration served without hitting the database.
BullMQ queues for emails, WhatsApp messages, invoices and imports.
Protection for login and OTP endpoints.
Geospatial queries for delivery and ride dispatch.
Pub/sub to sync WebSocket updates across servers.
Reads and writes served from memory keep busy screens quick.
Lists, sorted sets, streams and geo indexes suit queues, rankings and nearby-partner searches.
Expiry times remove sessions, OTPs and cached data on schedule.
Amazon ElastiCache and other hosted services handle upkeep.
Since Redis changed its licensing, the open-source Valkey fork has become an alternative on some managed services, and we choose between them per project.
Plain-English glossary
Services
Secure, documented REST and GraphQL APIs, plus integrations that connect your apps to payment, logistics, GST, messaging and business systems.
Browser-based products, customer portals, dashboards and internal tools, built on clean data models with secure roles and integrations.
Native and cross-platform Android and iOS apps, from first release through regular store updates, built by our in-house designers and engineers.
Solutions
Food ordering and delivery apps for restaurants, chains and cloud kitchens, with menus and add-ons, kitchen displays, prep-time ETAs and delivery tracking.
Rider app, driver app, dispatch engine and admin console for cab, auto, bike taxi, rental and outstation services, with UPI, cash and live tracking.
Hyperlocal delivery apps linking neighbourhood stores, pick-up-and-drop requests and delivery partners within a city, with zone-based dispatch and pricing.
Work
Illustrative projects that show how we plan and build products that use Redis. They are samples, not client work.
Delivery app development
An illustrative platform for neighbourhood grocery stores: slot or express delivery, store picking, batched delivery runs, and payment by UPI or cash on delivery.
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AI solutions
An illustrative AI assistant that answers order, return and product questions from a D2C brand's own policies and order data, with sources and a human hand-off.
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E-commerce & marketplaces
An illustrative ordering app for a distributor's retailers and sales team, with tier pricing, credit limits, trade schemes and GST invoicing.
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E-commerce & marketplaces
An illustrative marketplace where independent fashion labels sell through one storefront, with vendor onboarding, commission rules, multi-pickup shipping, returns and scheduled payouts.
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Business software
An illustrative SaaS for businesses running their own vehicles: live dispatch on a map, driver proof of delivery and per-trip billing for each customer.
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Device management & kiosk solutions
An illustrative kiosk product for retail chains: locked Android tablets for catalogues and price checks, a staff launcher, and a console to enrol, update and monitor every device.
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Device management & kiosk solutions
An illustrative console for school tablets: iPad devices through Apple School Manager and MDM, Android™ tablets through Android Enterprise, with class-based rules teachers can follow.
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Industries
Industries whose typical builds with us include Redis.
FAQ
Only if the slowness comes from repeated, expensive reads. Caching helps with pages or API responses many users request, such as menus or catalogues. If the cause is a badly indexed query, a slow third-party API or heavy front-end code, caching can hide the problem or serve stale data. We profile first, then add caching where it clearly helps, with sensible expiry.
While online, partner apps send location updates every few seconds, and we keep the latest position in a Redis geospatial index. When an order arrives, a radius query returns nearby available partners, which we rank by distance, current load and other rules before sending the request. Positions expire automatically if a phone goes offline, so stale partners are not assigned.
That depends on persistence settings. With append-only persistence on a managed service, queued jobs survive restarts. We also design jobs to be idempotent, so a job that runs twice, such as sending an invoice, has no duplicate effect, and critical records like payments live in the main database rather than only in a queue.
Related
Next step
Tell us where users feel the delay, and we'll profile before recommending caching or other fixes.
