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§ Private Profile · San Francisco
Software company providing hyper-acceleration software to optimize big data and machine learning workloads using advanced compilers.
Key people at Bigstream.
Bigstream is a Mountain View, California-based enterprise software company that develops advanced hyper-acceleration technology to optimize and speed up complex big data and machine learning workloads. The company provides business-to-business licensing and subscription services for software that automatically accelerates data processing on cloud platforms without requiring developers to alter their existing codebases. Operating with a dedicated team of approximately 10 employees, the startup has raised roughly $19 million in total venture funding to date. This financing includes an $11.9 million Series A round backed by prominent institutional investors such as Intel Capital, Cota Capital, and Oriza Ventures. The firm expanded its commercial offerings by announcing the general availability of its acceleration software specifically designed for Apache Spark environments. Bigstream was officially founded in 2015 by co-founders Maysam Lavasani, John Chuang, and Walid Najjar.
Key people at Bigstream.
Bigstream is a technology company that develops a hyperacceleration platform for big data processing, machine learning, and AI workloads, primarily accelerating Apache Spark without requiring code changes.[1][2][3] It serves large enterprises and data engineering teams by optimizing performance and reducing total cost of ownership for data streaming and analytics infrastructure on cloud platforms like AWS EMR and on-premise deployments.[1][2] Customers include Amazon Web Services, Samsung Electronics, and others, with reported funding of around $24.62M.[2][6]
The platform delivers orders-of-magnitude performance gains through hardware- and software-level acceleration, targeting big data platforms and enabling faster Spark deployments without application modifications.[1][2][3][4]
Bigstream Solutions was founded in 2015 and is headquartered in Mountain View, California.[3] It emerged in the big data processing space, focusing on hyperacceleration technology using advanced compiler techniques and hardware accelerators like those from Xilinx, Samsung, and SK Hynix.[3][6] A pivotal moment came in 2020 when Bigstream closed a funding round led by Xilinx and Cota Capital, with participation from Samsung and SK Hynix, enabling partnerships with major hardware providers to advance data-driven solutions.[6] Early traction included availability on AWS Marketplace by December 2020, bridging gaps for users avoiding code changes or specialized hardware programming.[1][2]
Bigstream rides the trend of exploding big data, AI, and ML workloads demanding faster, cost-efficient processing amid cloud-native shifts and hardware advancements like FPGAs and GPUs.[1][3] Timing aligns with 2020s hyperscaler growth (e.g., AWS Marketplace integration) and enterprise needs for Spark optimization without refactoring legacy codebases.[1][2] Market forces favoring it include rising data volumes in sectors like financial services, healthcare, and manufacturing, plus pressure to cut cloud costs—Bigstream influences the ecosystem by enabling seamless acceleration, competing with tools like Granulate while partnering with hardware giants.[2][3][6]
Bigstream is positioned to expand as AI-driven analytics surges, potentially deepening integrations with next-gen hardware and multi-cloud environments. Trends like generative AI and edge computing will amplify demand for its no-code acceleration, evolving its role from Spark specialist to broader workload optimizer. With strong backers like Xilinx and Samsung, expect scaled enterprise adoption and possible acquisitions by cloud majors, solidifying its edge in performant, economical big data infrastructure—echoing its core promise of empowering data-driven decisions without disruption.[2][3][6]
