Integrated Data and Analytics Platform
Simplifies data access patterns, acquisition, processing and indexing of different data types across multiple use cases, workloads, and organizational assets.
The combination of infrastructure independence and industry standard API support enables HPE Ezmeral Data Fabric to aggregate data from new and existing analytic architectures into a single logical data backbone without complex ETL processes or copying of data.
HPE Ezmeral is not limited to just storing data. It accesses data from multiple sources and stores it as a file or object, then processes the data and metadata into an integrated database. Metadata queries are perfect for identifying fraud. Data queries are perfect for complex model training.
Increases data engineering and analyst productivity by automating and orchestrating key processes needed for any data transformation initiative.
Exabyte Scale File System
Transparently scales to thousands of nodes per cluster and trillions of records per table without the complexity and cost of traditional data architectures.
Accelerates development cycles with multi-modal support for key-value, wide column, and JSON documents.
Downtime and points of failure are minimized through a built-in strong data consistency model and replication
Hybrid/Multicloud Security Made Easy
Single security management system integrates into existing authentication/authorization systems reducing organizational risk and cost.
Simplifies building, deploying, securing, managing and integrating unique users, applications, and workloads across hybrid and multicloud environments.
Without HPE Ezmeral Data Fabric, files, objects, databases, and streaming data needs to be manually integrated into existing security system(s) at a high cost, dependence on specialized skillsets, and organizational risk.
Accelerate Data Identification for Each Project
Multi-modal database simplifies data engineer query processes by supporting both document and column-oriented data.
Integration with Apache Drill provides low-latency, distributed SQL query capabilities for large-scale data sets, including structured, semi-structured, and nested data.
Immediate analysis and processing of live, interactive data by running Apache Spark and Hadoop on top of the data fabric.
Broad API support includes Apache HDFS protocol and HBase API enabling Hadoop and HBAE applications to use HPE Ezmeral Data Fabric without code modifications.