Apache Hadoop

Your data, your cluster — Hadoop with full control on cloud

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Overview

Apache Hadoop on IaaS provides you with the raw infrastructure to build and operate your own big data environment in the cloud. You get dedicated virtual machines provisioned as Hadoop clusters, with complete control over installation, configuration, and management. This approach is ideal for enterprises that want flexibility in choosing versions, tuning performance, and integrating with their existing ecosystem.

With scalable compute and storage, you can run large-scale analytics, batch processing, or data warehousing workloads without upfront hardware costs. Add-ons like Spark, Hive, HBase, Kafka, or MySQL can be deployed to expand capabilities.

With Hadoop on IaaS, you get the building blocks to run data-intensive workloads with cloud elasticity while staying in full control.

Pricing

To know more about the SKUs and pricing click below.

Core Features at a Glance 

Cluster provisioning with custom VM resources
Quickly spin up Hadoop clusters on dedicated VMs with the desired CPU, RAM and storage tailored to your workload needs.
Bring your own Management
Full control of software stack, configurations, and versions.
Application add-ons
Optionally deploy Spark, Hive, HBase, Kafka, or MySQL on your cluster.
Elastic scaling
Expand nodes and resources as your data volumes grow.
High availability options
Configure redundancy and failover at the VM and cluster level.
Secure infrastructure
Isolated networks, encryption options, and RBAC keep workloads safe.

What You Get

Still have questions?

Our offering provides a cloud infrastructure product that provides virtual machines pre-provisioned as Hadoop clusters, with full control in your hands.
You do. Unlike PaaS, here you install, configure, and maintain the Hadoop ecosystem yourself.
Yes, you can deploy Spark, Hive, HBase, Kafka, or even databases like MySQL on your cluster.
Yes, you have complete access to the VMs to configure and manage them.
You can provision additional VM nodes or upgrade existing resources anytime.
Yes, you can configure redundancy across nodes and storage for failover.
The infrastructure supports encryption, private networking, and RBAC. You can also apply your own security policies.
Hadoop service is best for big data analytics, data lakes, warehousing, machine learning pipelines, and large-scale batch processing.
Full control—you choose the Hadoop version, apply patches, and manage the ecosystem.
You pay for the VM and storage resources you use, with flexibility to scale as needed.

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