Deliver Big-Data as a Service

Modernize your Big Data infrastructure using Kubernetes. Deliver self-service solution to improve the agility and efficiency of your Data Scientists, Data Engineers, and Developers.

Cloud-native Big Data for Your Enterprise, Powered By ROBIN

ROBIN Hyper-converged Kubernetes platform extends Kubernetes with built-in storage, networking, and application management to deliver a production-ready solution for big data. ROBIN automates the provisioning and management of big data clusters so that you can deliver an “as-a-service” experience with 1-click simplicity to data engineers, data scientists, and developers.

ROBIN Modernizes Your Big Data Infrastructure

Separation of Compute and Storage


Enjoy cloud-like cost efficiencies by decoupling compute and storage. Store massive data on inexpensive hardware, and use compute efficiently when needed.

On-demand scaling


No need to create IT tickets wait for days to scale-up NameNodes, or to add more DataNodes. Cut the response time to few minutes with 1-click scale-up and scale-out.

Improved Hardware Utilization


ROBIN provides multi-tenancy with RBAC to consolidate multiple big data workloads without compromising SLAs and QoS, increasing hardware utilization.

Self-service Provisioning


Provide your private app-store to developers. Developers provision big data clusters themselves, eliminating IT tickets and procedural delays.

Decouple compute and storage the cloud-native way

Enjoy the cost efficiencies by decoupling compute (CPU and memory) and storage, and scaling independently. Simply turn on data locality with 1-click when you really need it for high performance.

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Start small and scale up/out as you need

DevOps and IT teams can start with small deployments, and as applications grow, they can add more resources. ROBIN runs on commodity hardware, making it easy to scale-out by adding commodity servers to existing deployments.

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Get more out of your hardware inverstments

Consolidate multiple big data workloads without compromising SLAs. Reduce your hardware cost by sharing the compute between clusters. If a cluster runs majority of its batch jobs during the night-time, it can borrow resource from an adjacent application cluster with day-time peaks, and vice versa.

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Self-service provisioning through app-store

With ROBIN hyper-converged Kubernetes platform, deploying big data, databases, and AI/ML on Kubernetes is a breeze. Simply log in to be greeted by an app-store experience, click on your favorite application, adjust the compute and storage resources if you want (you don’t have to) and relax. Your application will be deployed and ready to use within minutes.

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Webinar

Big data and artificial intelligence/machine learning are technology trends for which we’re just scratching the…

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WHITEPAPER

In-depth discussion about our platform and its benefits for Big Data workloads…

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BENCHMARK

ROBIN provides bare-metal like performance for big data and databases on Kubernetes. Download the report…

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CASE STUDY

Leading Networking Company improves hardware utilization by 50% and slashes provisioning time to 15 minutes…

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