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ECS for Hadoop
ECS for Hadoop
With in-place analytics and multi-protocol support, Elastic Cloud Storage (ECS) provides an ideal platform for data lake that eliminates storage silos and supports your Hadoop and modern apps with cloud-scale economics.
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Why ECS For Hadoop

Take Hadoop Global

Take Hadoop Global

“We don't worry about applications that need to span more than one data center.”


Daniel Lehmann, Key Account Manager, Global Access

Storage Modern Apps

Storage for Modern Apps

“Implement new services for storage application analytics for unstructured data.”


Coface Representative

Cloud-Scale Economics

Cloud-Scale Economics

“The role of ECS is important because it’s fast storage at low cost.”


Luciano Ammenti, CIO of Vatican Library

Enterprise Grade

Enterprise-Grade

“The most impressive was the fact, that real-life performance appeared twice higher and more effective.”


Tenzor Representative

Hadoop With ECS On The Whiteboard

See how ECS can provide a strong storage backend for Hadoop analytics.

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Geo-distributed Storage

One data analytics platform for geo-distributed storage

With state-of-the-art geo-caching and information dispersion algorithm, ECS allows you to analyze and protect big data by distributing data across multiple data centers.

In-place analytics with multi-protocol support

ECS is designed for modern apps using multi-protocol object storage APIs along with HDFS, which allows you to analyze data faster without conversions with application native protocols.

In Place Analytics
Exabyte Scale

Exabyte scale at lower cost

ECS appliance effortlessly scales to 100s of Exabyte with overheads as low as 20%. It will reduce your Opex and Capex with higher storage efficiency.

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