Big Data Dedicated Servers

Process petabytes of data with zero latency. Harness the raw power of bare metal servers optimized for high-throughput analytics and in-memory processing.

Whether you are running Hadoop clusters, Apache Spark, or massive NoSQL databases, get the High-IOPS NVMe storage and massive RAM density your data demands.

Visualization of Big Data Analytics and Server Infrastructure

The Challenge: Why Cloud Fails Big Data

Public cloud environments are convenient for small apps, but they punish data-intensive workloads with "noisy neighbors," virtualization overhead, and unpredictable billing.

💸 Egress Fee Shock

Moving terabytes of data out of a public cloud for analysis or reporting can cost thousands in hidden transfer fees.

🐌 I/O Bottlenecks

Shared storage arrays in the cloud fluctuate in speed. Big Data requires sustained, consistent High-IOPS to prevent query timeouts.

💾 RAM Limitations

In-memory processing (like Spark) craves RAM. Virtualized instances charge exponential premiums for high-memory configurations.

🔒 Data Sovereignty

Multi-tenant environments pose compliance risks. Financial and healthcare data often require physical hardware isolation.

Optimized Workloads

We engineer specific hardware configurations to match the unique demands of your data stack.

In-Memory Computing (Spark)

Designed for Apache Spark and SAP HANA. These builds focus on massive RAM density (up to 2TB DDR5) and high memory bandwidth to prevent disk swapping during complex queries.

Data Lakes (Hadoop/HDFS)

Built for volume. Maximize your storage-per-dollar with servers holding up to 36x High-Capacity HDDs, tiered with NVMe caching drives for metadata operations.

NoSQL & Real-Time (Mongo/Kafka)

Low latency is the goal. Perfect for MongoDB sharding or Kafka clusters, utilizing Enterprise NVMe arrays (RAID 10) for ultra-fast read/write speeds.

Built on Enterprise Architecture

Big Data requires hardware that doesn't quit. We partner with the industry leaders to ensure your data pipeline never stops.

40Gbps

Cluster Connectivity

4TB

Max RAM Per Node

1PB+

Storage Capacity

100%

Data Sovereignty

Your Stack, Your Rules

Full root access means zero vendor lock-in. Deploy any open-source or enterprise analytics software on your bare metal infrastructure.

The framework that started it all. Deploy DataNodes and NameNodes on cost-effective, high-storage hardware.

Lightning-fast unified analytics engine. Our high-RAM servers ensure your datasets stay in memory for speed.

Handle millions of events per second with high-frequency CPUs and NVMe storage for real-time data pipelines.

Scale your document database horizontally with sharding across our private, low-latency network VLANs.

Stop Paying Cloud Tax on Your Data

Switch to iRexta Dedicated Servers for predictable pricing, zero egress fees, and raw performance that virtual machines can't match.

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Frequently Asked Questions

We provide private physical switches and VLANs. You can connect your Master Nodes and Worker Nodes via a private 10Gbps, 25Gbps, or even 40Gbps network. This internal traffic is unmetered and completely isolated from the public internet for security and speed.

This is our biggest advantage over AWS or Azure. We do not charge variable egress fees. Our servers come with generous or unmetered bandwidth packages at a flat monthly rate, saving data-intensive businesses up to 50% on infrastructure costs.

Generally, no. For distributed file systems like HDFS (Hadoop) or Ceph, the software handles data replication across nodes. We recommend JBOD (Just a Bunch of Disks) or individual RAID 0 configurations to maximize usable storage space and let the software manage redundancy.

Yes. Our chassis are designed for expandability. We can add additional drives to your existing server, or you can horizontally scale by adding new "Data Nodes" to your private cluster instantly.