Meesho Migrates from Redis to Dragonfly: Cuts Latency by 50% and Costs by 60%
Learn how Meesho, a leading Indian e-commerce platform, migrated from Redis to Dragonfly, cutting latency by 50% and reducing infrastructure costs by 60%.
High-Performance Caching Without the Redis Bottlenecks
DragonflyDB delivers ultra-low latency and up to 25x faster caching for AI inference and real-time applications, without complex clustering or operational overhead.
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Why Caching is Critical for Real-Time and AI Applications?
Instant data. Right when you need it.
Caching stores frequently accessed data in memory so applications can retrieve it in milliseconds — not seconds.
Whether you’re serving a social feed, live stream, or powering AI-driven experiences like recommendations and chat, caching is the key to speed. Real-time applications can’t afford to fetch the same data or inference results repeatedly from slow backends. Caching keeps high-demand data, embeddings, and model responses in memory for ultra-fast access.
Throughput in QPSSETGETSETEXQPS benchmark on AWS c6gn.16xlarge. Snapshot benchmark on AWS c6gn.4xlarge. Source.
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DragonflyDB
Ultra-Fast, Memory-Efficient Caching for Modern Workloads
DragonflyDB represents a fundamental advancement in caching technology, designed specifically for the demands of modern AI and real-time applications. Unlike traditional systems that require complex clustering, Dragonfly’s multi-threaded, shared-nothing architecture fully utilizes all CPU cores on a single node — delivering massive throughput without operational overhead.
A single instance can replace multiple Redis nodes, offering up to 25× higher throughput while using significantly less memory. With consistent sub-millisecond response times, Dragonfly handles millions of QPS for AI inference, recommendation engines, real-time analytics, and other latency-critical workloads.
Its innovative memory management — including memory arenas and copy-on-write design — minimizes fragmentation and overhead, allowing you to cache more data with less hardware and cut storage costs by up to 80%.
Fully compatible with Redis and Memcached, Dragonfly enables seamless migration with zero code changes, making it easy to unlock immediate performance gains. For teams facing scaling challenges or rising costs, Dragonfly delivers extreme performance, operational simplicity, and unmatched efficiency.
Turn Caching into a Competitive Edge
Accelerate Critical Workloads
Dragonfly delivers 25x higher throughput, processing 8+ million requests per second, directly improving conversion rates and enabling AI features that outperform competitors when milliseconds matter.
Optimize Operational Costs
Cut infrastructure costs by 60% by replacing Redis clusters with a single DragonflyDB instance. With efficient memory management and vertical scaling, you can reduce spend while boosting performance.
Focus on Innovation
Free engineers from the complexity of managing Redis, enabling feature releases weeks faster than competitors and transforming caching from a bottleneck into a competitive advantage.
“The latency was reduced by roughly 40 to 50% and the cost reduction was around 60%.”
Shubham Sharma
Senior Software Architect at Meesho
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