Side by side

Apache Hadoop HDFS vs HPE Ezmeral Data Fabric

Both stand on data lake software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Apache Hadoop HDFS

Free plan Open source APILinuxSelf-hosted+1

HDFS is built for distributed, high-throughput storage with replication and several access interfaces. Its write model and security requirements should fit the workload and deployment plan.

Visit Apache Hadoop HDFS

HPE Ezmeral Data Fabric offers a shared data layer with object storage, analytics integrations, and security controls. The community edition has substantial limits, while pricing is available on request.

Visit HPE Ezmeral Data Fabric

The facts

	Apache Hadoop HDFS	HPE Ezmeral Data Fabric
Free plan	Yes	Yes
Open source	Yes	Not published
Runs on	API, Linux, Self-hosted, Windows	API, Linux, Self-hosted, Web
Lowest paid plan	Free or on request	Free or on request
Plans published	2	1
Maker	Not published	Not published
Website	hadoop.apache.org	developer.hpe.com
On data lake software	#1 of 19	#5 of 19

Apache Hadoop HDFS: what it does well

Designed to scale across hundreds of nodes.
Replicates blocks and detects failed DataNodes.
Supports Java, REST, browser, and NFS access.
Transparent encryption is supported.
Connectors are listed for major cloud storage services.

What to know first

Not tuned for low-latency interactive workloads.
Arbitrary in-place file updates are unavailable.
Clusters without Kerberos caller authentication expose access to network users.
Production deployment requires attention to cluster security.

HPE Ezmeral Data Fabric: what it does well

Combines files, object data, NoSQL databases, and streams.
Supports transactions and strong consistency.
Object store supports S3 API access and WORM compliance.
Dynamic masking can hide designated JSON fields.

What to know first

Community edition has no high availability.
Community edition has limited nodes.
Community edition includes no technical support.
Community edition is not intended for production.

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