Hadoop Platform Replacement
Discover an alternative big data management solution to traditional Hadoop platforms that delivers equivalent business outcomes while offering cost savings by optimizing a tremendous amount of resources with a Lakehouse architecture.
THE SOLUTION
The Hybrid-ready Big Data Lakehouse to Replace Traditional Hadoop Platforms
Cost-Efficient
This is not just about software license fees; it's about an architecture that fully adopts Data Lakehouse principles. Decoupling compute and storage architecture leads to a dramatic reduction in hardware and infrastructure footprint.
Modern Data Stack with Efficient Architecture
By using Spark and Delta Lake, the modern data stack that become de facto standard for data team, efficiently decouples computing and storage, enhancing overall performance and resource optimization.
Low Migration and Maintenance Efforts
With Blendata's Apache Spark, technologies are very similar to the Hadoop ecosystem in terms of usage and maintenance. Customers can easily use their data in Blendata in the same way they do with Hadoop.
On-premise Data Lakehouse
One of the few solutions that support Data Lakehouse architecture, both on the cloud and on-premise, with a proven track record of replacing over a hundred Hadoop platforms with Blendata Enterprise.
Highlight Features
Reduce Total Cost of Ownership (TCO)
Blendata reduces the hardware, software, information technology system, maintenance, and technical personnel costs compared to conventional systems.
Modernize Data Foundation with Lakehouse
Upgrade to a modern big data platform that is flexible, open, and adjustable on demand to support future data growth with lower cost compared to traditional Hadoop solution.
Customers Success
Data-Driven Success
