Big Data & Analytics

Big data and Analytics on a Bare Metal server


Big data projects require infrastructures that are sized for mass data processing. Get the most out of your data with the raw power of OVHcloud’s Bare Metal dedicated servers.

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Meet the challenges of big data with OVHcloud servers

Bare Metal cloud servers have been designed to meet the challenges of big data, with security at the heart of the architecture. They deliver all the computing power and storage you need for real-time data processing.

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Raw performance

Our Bare Metal servers are delivered with no virtual layer, and offer maximum raw performance. They are equipped with NVMe disks, and the latest generation Intel and AMD processors — so you get the best hardware for big data usage. You can very easily add resources to expand your infrastructure.

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A resilient network

Our 4-link high-speed network ensures service continuity when needed, and optimal resilience supported by a 99.99% SLA. Traffic is unlimited, so you will not need to worry about any extra costs for ingress and egress.

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A fully-isolated infrastructure

Your servers are fully-dedicated to your project. This ensures both stable, consistent performance, and security for sensitive data.

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High disk capacity

With up to 360TB of storage space, get very high read-write rates (IOPS) with the power of SSD technology.

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Build Hadoop clusters using OVHcloud Bare Metal servers, then deploy and connect multiple data nodes via your guaranteed 50Gbps internal network (vRack) on the High Grade ranges. You can also use certain tools and projects in the Hadoop ecosystem (such as Apache Spark, Kettle, Ouzi or Mawazo) to simplify your IT management and business analysis processes.

Increase capacity on demand by adding storage disks with hot-swap technology (available on High Grade), or by adding nodes in your cluster with vRack.

Options and services included

  • A range of memory and storage options.
  • OVHcloud Link Aggregation (OLA) available at no extra cost

How is a big data infrastructure built?

Based in part on the project’s needs, any big data infrastructure has a common foundation: hardware. This usage requires servers with high computing power (CPU), high volumes of RAM, and large amounts of storage space (hard disks, SSD and NVMe). These servers need to communicate over a high-speed network, with enough transfer speed to handle the multiple processing required for the big data project to work. Big data infrastructures gather and store an enormous volume of data, analyze it with the shortest possible processing times, and ultimately give the IT teams in charge of the project an exploitable result. The best way of building a big data infrastructure will vary depending on the technology used. There are many different technologies that offer their own advantages, complexities, and responses to business needs. These include Apache Hadoop, Apache Spark, MongoDB, Cassandra, Rapidminer, and many others.