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DragonflyDB is a software company based in San Francisco, California, and Tel Aviv, Israel, that develops a high performance, multithreaded in-memory data store designed as a drop-in replacement for Redis. The platform targets modern cloud workloads by scaling vertically on multicore instances, delivering up to 25 times higher throughput, 12 times faster snapshotting, and 30 percent less memory usage than legacy infrastructure. Commercializing its source-available project, the enterprise provides software licensing and managed cloud services to developers building high scale, real-time applications, accumulating over 17,000 GitHub stars and thousands of deployed users by early 2023. The venture-backed startup has raised $21 million in total seed and Series A funding from prominent lead investors including Redpoint Ventures, Quiet Capital, Satish Dharmaraj, and Astasia Myers. DragonflyDB was officially founded in 2022 by technology executives Oded Poncz and Roman Gershman.
DragonflyDB has raised $42.0M across 2 funding rounds.
DragonflyDB has raised $42.0M in total across 2 funding rounds.
DragonflyDB is a technology company that builds a high-performance, in-memory data store as a drop-in replacement for Redis, designed for modern cloud workloads. It offers Dragonfly, a source-available, multi-threaded database that delivers up to 25x better performance than Redis on comparable hardware, with 30% less memory usage and sub-millisecond latency at multi-million QPS scales[1][2][3][4]. The product serves developers and enterprises in sectors like media & entertainment, gaming, ML feature stores, and real-time applications, solving the limitations of single-threaded stores like Redis by enabling vertical scaling, cost reduction (up to 80% infrastructure savings), and seamless migrations via 100% API compatibility with Redis, Valkey, and Memcached[1][3][4]. DragonflyDB also provides Dragonfly Cloud, a fully managed service with dedicated infrastructure and 24/7 support, powering thousands of production deployments worldwide[3][5].
Founded in 2022 and headquartered in Tel Aviv with offices in San Francisco, the company has raised $21 million from investors like Redpoint Ventures and Quiet Capital, claiming strong traction with benchmarks showing 3.9 million QPS per instance versus Redis's 150,000[2][4][5].
DragonflyDB was founded in 2022 in Tel Aviv, Israel, by Oded Poncz (Co-Founder & CEO, former VP of Engineering at Quotient Technology) and Roman Gershman (Co-Founder, former Principal Engineer at AWS), with Nicholas Gottlieb as VP of Engineering (former VP of Growth at Serverless)[2]. The idea emerged from the founders' experiences with the performance bottlenecks of Redis in cloud environments, particularly its single-threaded design that struggles with modern multi-core hardware[4]. They developed Dragonfly as a multi-threaded alternative using asynchronous processing to fully utilize computing, memory, and networking resources, enabling any engineering team to deliver low-latency experiences without massive infrastructure[3][4].
Early traction came quickly: In March 2023, the company raised $21 million in funding, highlighted by TechCrunch coverage, and reported benchmarks showing 25x QPS and 12x faster snapshotting compared to Redis as of July 2023[2][4]. This funding supported expansion, including dual headquarters in Tel Aviv and San Francisco, and availability on AWS Marketplace[2][5].
DragonflyDB stands out through its engineering focus on multi-threaded efficiency and Redis compatibility. Key strengths include:
DragonflyDB rides the wave of real-time data demands in cloud-native apps, AI/ML inference, edge computing, and gaming, where single-threaded databases like Redis falter under multi-core hardware and explosive growth in workloads like vector search and personalized content[1][3][4]. Timing is ideal amid the shift to cost-efficient, vertically scalable alternatives post-Redis licensing changes, with market forces like rising cloud costs (up to 80% savings here) and the need for sub-ms latency favoring multi-threaded stores[3]. It influences the ecosystem by open-sourcing Dragonfly (source-available on GitHub with hundreds of contributors), enabling thousands of productions, and integrating with AWS, simplifying migrations for devs while pressuring incumbents to innovate[2][3][5].
DragonflyDB is poised for explosive growth as real-time workloads dominate AI-driven apps and edge services, potentially capturing share from Redis/Valkey with its unmatched perf/cost ratio. Expect expansions in managed cloud features, deeper AI integrations (e.g., vector DB enhancements), and global adoption via partnerships like AWS. Its influence could reshape in-memory datastores, empowering more teams to build scalable, low-latency systems—turning Dragonfly from Redis challenger into infrastructure staple[3][4][5].
DragonflyDB has raised $42.0M in total across 2 funding rounds.
DragonflyDB's investors include Satish Dharmaraj, Redpoint Ventures, Andreessen Horowitz, Atomico, Bessemer Venture Partners, Broadway Angels, Felicis Ventures, Flybridge Capital Partners, Hack VC, Jlabs, Kleiner Perkins, Norwest Venture Partners.
DragonflyDB has raised $42.0M across 2 funding rounds. Most recently, it raised $21.0M Seed in March 2023.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Mar 21, 2023 | $21M Seed | Satish Dharmaraj | — | Announced |
| Mar 1, 2023 | $21M Series A | Redpoint Ventures | Andreessen Horowitz, Atomico, Bessemer Venture Partners, Broadway Angels, Felicis Ventures, Flybridge Capital Partners, Hack VC, Jlabs, Kleiner Perkins, Norwest Venture Partners, Plug & Play Ventures, Quiet Capital, Silicon Valley Connect, Soma Capital, Theory Ventures, TQ Ventures, Unconventional Ventures, Chafic Kazoun, Colin Carrier, Frederic Kerrest, Gokul Rajaram, IDO Leffler, Karim Atiyeh, Kevin LIN, Loic LE Meur, Manish Patel, RON Pragides, Ryan Carlson, SAM Shank, Shervin Pishevar | Announced |
