Dragonfly
@dragonflydbio
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Dragonfly is a drop-in Redis replacement, delivering 25X better performance at 80% lower cost. Host it yourself for free or pay per GB for Dragonfly Cloud.
Joined June 2022
🔥 Speaker lineup for #MDISummit is stacked:.🧠 @takidau (@redpandadata).🦆 @ryguyrg (@motherduck).⚡ Felipe Mendes (@ScyllaDB).📈 @Sunng & Ruihang (@Greptime).🧪 @andy_pavlo (@CarnegieMellon).🐉 @romanger (@dragonflydbio).Get 50% off with MDIDISCOUNT50:
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In our latest hands-on tutorial, we walk you through implementing high-performance caching in TypeScript with Dragonfly, using @bunjavascript, @DrizzleORM, @honojs, and Zod (by @colinhacks). Embrace standard APIs and make your app much more performant! 📖
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A standard Dragonfly Cloud 100GB instance costs "just 20% less" than an ElastiCache cache.r7g.4xlarge instance, but it delivers nearly 3x the write throughput! It’s not a discount but a rethinking of what your modern data infra should deliver. Read more:
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Moving data efficiently between systems is far from trivial until you have @AirbyteHQ. Learn step-by-step how to optimize performance and reduce database load by syncing your data to Dragonfly: #Airbyte #DragonflyDB #Database #OpenSource.
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Every dollar counts, but not equally. With Dragonfly Cloud, you can buy 42% more capacity and 193% higher write throughput than #ElastiCache on a 100GB instance. See the full breakdown and maximize your cloud spend today: #AWS #CloudComputing #Valkey.
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Our recent blog compares Redis 8.0 vs. Valkey 8.1, but if you’d rather skip the debate entirely, the answer is D for Dragonfly, obviously. #Redis #Valkey #OpenSource #Caching.
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🔄 Sync data from #PostgreSQL to Dragonfly seamlessly with @AirbyteHQ. Optimize dashboard metrics with Dragonfly’s 25x better performance and cost savings. Dive into our tutorial and transform your data integration strategy! #Airbyte #DataEngineering.
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🚀 Just announced: The Modern Data Infrastructure Summit, for engineers building cloud-scale systems!. 🗓️ Sept 18, SF.🏢 Hosted by @dragonflydbio.🤝 Sponsored by @motherduck, @ScyllaDB, and @Greptime. Get tickets here 👉 #MDISummit #DataInfra #AI #LLMs.
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We’re thrilled to be part of @redpoint’s 2025 InfraRed 100 list, which highlights 100 transformative companies in cloud infra, for the 3rd year in a row. Proud to be in such outstanding company—congrats to everyone listed! 🎉.
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.@abusix crushed their #Redis bottleneck by moving to Dragonfly Cloud with a 15x performance gain, 40% less memory usage, and an only 2-day migration (seriously). Their threat detection algorithm now doesn’t even break a sweat #DragonflyDB #DataMigration.
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Network security leading provider (and our happy customer) @abusix recently doubled their data capacity with Dragonfly Cloud to keep pace with rapid growth. No downtime, no headaches. Just reliable performance and seamless scaling. #DataMigration.
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Did you know? If you’re running #BullMQ with Dragonfly, your queue name needs a hashtag for the best performance. ❌ No, not the # kind. ✅ The {curly_braces} kind! (It’s a Redis/Dragonfly thing.). Watch the full use case video to learn more:
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🎉 It's been 3 years since we released Dragonfly on GitHub!🚀A huge thank you to our community for your support on this journey. Together, we've achieved:. ⭐ 28k+ GitHub Stars.📥 100k+ Downloads.🔄 3,000+ PRs Merged. Here's to continued innovation in the data infra landscape!🐲.
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Redis vs. Valkey: Threading models, replication, memory optimizations, features—how do they stack up? If you’re not using Dragonfly (which, why?), this deep dive helps you pick the right tool. #Redis #Valkey #LinuxFoundation #OpenSource #Caching.
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Happy Friday! 🎉 ByteMonk’s new video breaks down Dragonfly’s architecture, compatibility, and performance. See how a rather modest 50GB Dragonfly Cloud instance can easily hit 700k~1M QPS! Scalability made simple. #AWS #GCP #CloudComputing #Scalability.
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🚀 Understanding feature stores with Feast: dive into the dual-layer architecture of offline and online stores and why they matter for real-time ML applications. Discover more in our latest blog!. #AI #DataInfrastructure #DragonflyDB #MachineLearning.
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Tired of #Redis limitations? Dragonfly Cloud is now on #Azure, offering a multi-threaded architecture that can handle hundreds of GBs and millions of requests per second on a single instance. Learn more in our launch blog. #DragonflyDB #CloudComputing.
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💡 Why separate offline and online storage in a feature store? Because training and serving need different requirements! Learn how Dragonfly boosts real-time model serving with unmatched performance. #AI #DataArchitecture #DragonflyDB #MachineLearning.
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