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Reducing Big Data management costs (TCO) by 700% in the telecommunications industry.

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Challenge:

High Costs and Outdated Complexity of Hadoop

Replacing Hadoop is expensive, complex, and challenging. The costs associated with hardware, software, licensing, and personnel can be significant, especially for AIS, with an enormous amount of telecommunication data records in store. Organizations need to ensure that the new big data platform is integrated with existing systems and infrastructure.

Hadoop Platform Replacement

Blendata in Action:

Reduced infrastructure from 140 bare metal nodes to just only 30 VM nodes.

Implement Blendata Enterprise, a cost-effective, user-friendly, scalable, and secure platform with a wide range of features and functionalities for big data analytics and machine learning. The platform is built on well-known technologies like Apache Spark™*, leveraging skill sets readily available in the market. Additionally, Blendata offers consultant and professional services to ensure the solution aligns with project requirements.

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Results Achieved:

Massive cost savings with faster, simpler big data operations

Blendata helped reduce total cost of ownership (TCO) by 700% by replacing Hadoop with a streamlined, scalable Data Lakehouse architecture. The platform now supports over 45 million users while handling large-scale data more efficiently. Migration was completed in under six months—unlocking better performance, easier maintenance, and faster time-to-insight.