BlueData makes it easier, faster, and more cost-effective to deploy distributed AI, Machine Learning, and Big Data Analytics — whether on-premises, in the public cloud, or in a hybrid architecture.
BlueData's customers include leading organizations across multiple industries and geographies — such as Barclays, Centene, Citigroup, GlaxoSmithKline, GM Financial, Optum, Macy’s, Nasdaq, Seattle Children’s, SCL Health, and Tesco Bank. With BlueData's container-based software platform, their data scientists don't have to be experts in cloud infrastructure to work with distributed AI, Machine Learning, Deep Learning, and Big Data Analytics.
Now they can spin up containerized environments for AI and Big Data within minutes, providing on-demand access to the applications, data, and infrastructure they need — in a multi-tenant architecture with a shared pool of resources for improved efficiency and reduced costs. They can deliver faster time-to-value for their AI initiatives and data-driven digital transformation — while ensuring security and high performance.
Based in Santa Clara, California, BlueData is led by a founding team from VMware; a highly experienced management team from Akamai, Cisco, Pivotal, and Dell EMC; a Big Data advisory team from industry leaders such as Facebook, Intel, NetApp, and Yahoo; and investors including Amplify Partners, Atlantic Bridge, Dell Technologies Capital, Ignition Partners, and Intel Capital.
We know this market — The company was founded in 2012 after both co-founders had spent a decade at VMware. They saw that the requirements for data-intensive distributed applications weren't being well served by VMware, so they started BlueData to address this need. Now BlueData provides the only turnkey container-based solution for large-scale distributed AI / ML / Analytics applications in the enterprise.
Meeting customer needs — Our customers are Fortune 500 and Global 2000 enterprises using AI / ML and Big Data Analytics for their data-driven digital transformation . They want to move beyond the stage of experimentation and expand their deployments while controlling costs. Using Docker container technology and our patented innovations, our software platform helps them accelerate their implementations, reduce costs, and deliver faster time-to-insights — with enterprise-grade performance and security.
Validated with customers — We're well-funded and our software is proven in production with dozens of Fortune 500 and Global 2000 enterprises. We've raised $39 million in funding from top-tier venture capital investors, as well as strategic partners Dell EMC and Intel. Our customers include industry-leading organizations like Barclays, Centene, Citigroup, GlaxoSmithKline, GM Financial, Optum, Macy’s, Nasdaq, Seattle Children’s, SCL Health, and Tesco Bank. Watch this customer testimonial video with Nasdaq: https://www.bluedata.com/nasdaq-runs-big-data-analytics-bluedata
Proven performance — A recent Intel benchmarking study showed comparable performance for Big Data Analytics (e.g. Hadoop) running in a bare-metal environment vs. in a containerized environment using the BlueData software platform. Performance is a big deal for enterprise customers. With BlueData, now they can get get all the containerization benefits of flexibility, agility, and cost-efficiency for AI and Big Data workloads – without paying a performance penalty.
As an engineer at Blue Data, you'll get a lot of experience working with container technology (e.g. Docker, Kubernetes) and cloud infrastructure (whether on-premises, AWS / Azure, GCP, or hybrid). And you'll learn about the latest AI / ML / DL and Big Data Analytics technologies (e.g. TensorFlow, H2O, Spark, Kafka, Hadoop).
We're a great place to work if you enjoy learning about leading-edge technology and building a breadth of technical knowledge. We're using Erlang on our back end and are a great place for functional programmers.
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