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HPE Ezmeral Data Fabric review

#13 of 24 in Wide-Column DatabasesData Lake Software

A broad, strongly consistent data platform for teams spanning cloud and on-premises environments.

8.0/10Editor score
HPE Ezmeral Data Fabric8.0 Visit HPE

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

HPE Ezmeral Data Fabric is a multimodal data-storage platform for enterprise data teams that need database, file, object, and streaming services through one logical view and global namespace. Its database capabilities cover column-oriented tables through the HBase API and JSON tables through the OJAI API. REST, client-library, Apache Drill, and Apache Spark access give teams multiple ways to work with the data. With web, Linux, API, and self-hosted access, it fits organizations planning hybrid deployments across cloud and on-premises environments.

The database feature set is broad for workloads that require consistency and operational controls. Row- and document-level ACID transactions, strong data consistency, multi-master table replication, secondary indexes, and change data capture address transactional and distributed data requirements. Apache Drill provides distributed querying, while Apache Spark connectors support data processing workflows. Unified security includes authentication, authorization, encryption, and auditing. These capabilities make the product a fit for teams that need more than a basic wide-column store, particularly when HBase compatibility and JSON document access belong in the same platform.

Deployment and commercial planning are central considerations. HPE documents managed-as-a-service deployments alongside customer-managed cloud and on-premises installations, with integrations for AWS, Microsoft Azure, Google Cloud Platform, S3-compatible object storage, Iceberg, and the REST API. Pricing is consumption-based and available through an HPE sales representative, so buyers should involve procurement and architecture stakeholders early. Choose HPE Ezmeral Data Fabric when strong consistency, transactions, replication, hybrid deployment, and broad data-service coverage matter together. A narrower database project may be better served by a product with a simpler deployment and purchasing process.

HPE Ezmeral Data Fabric pros and cons

  • Where it wins
    • HBase and OJAI APIs support column and JSON document tables
    • ACID transactions, strong consistency, replication, indexes, and CDC
    • Connectors for Spark, Drill, Iceberg, and major cloud platforms
  • Where it doesn't
    • Pricing requires contact with an HPE sales representative
    • Broad platform scope may exceed the needs of narrow database projects
    • Customer-managed and managed deployments require different planning

HPE Ezmeral Data Fabric fact sheet, pricing and score →

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