Validation

Abstract

This ESG Technical Review documents hands-on performance and function testing of Huawei OceanStor Pacific storage for high performance data analytics (HPDA) and presents the findings of a five-year TCO analysis highlighting the economic benefits of Huawei OceanStor Pacific when compared with storage systems from other major vendors.

Abstract

This report documents ESG’s validation of concurrent data ingestion and real-time query performance testing of various database management software products that demonstrates the ability of InterSystems IRIS data platform to ingest hundreds of millions of records and simultaneously execute millions of queries with microsecond performance, outperforming other traditional and in-memory products.

Co-Author(s): Kerry Dolan

Introduction

This report documents performance testing of the IBM FlashSystem family of storage platforms with end-to-end NVMe, including a comparison of 16GB versus 32GB Fibre Channel (FC) Host Bus Adapters (HBAs) in the server and storage array along with the b-type storage network switch.

Abstract

This ESG Technical Review highlights how Google Cloud enables organizations using SAP to manage, safely store, and securely analyze their data to generate in-depth insights for greater business intelligence. A combination of hands-on analysis and customer use cases were used to validate the advantages of leveraging Google Cloud and BigQuery for robust advanced analytics and AI/ML capabilities. ESG also examined how SAP customers leverage Google Cloud to deploy enterprise-ready applications on which to run their mission-critical operations.

Abstract

This ESG Technical Review examines the Cohesity data management platform, focusing on Cohesity’s solution to mass data fragmentation (MDF): the ability to collapse workload silos, eliminate copies, and share data efficiently.

Introduction

ESG recently completed testing of BlackBerry Intelligent Security, which is designed to continuously evaluate risk and dynamically apply risk-based security policies to protect endpoints. Testing focused on ease of deployment and management and the simplification of the user experience.

Introduction

ESG recently completed testing of IBM Decision Optimization for Watson Studio, which is designed to enable organizations to accelerate the value they can extract from AI more easily. Testing examined how IBM Watson Studio with Decision Optimization collects data, organizes an analytics foundation, and analyzes insights at scale—with a focus on the ease of operationalizing AI and data science to improve trust, simplify compliance, and speed monetization.

Abstract

ESG examined how Devo can help organizations overcome the multiple challenges of data silos, the skills gap, and the high cost of analyzing machine data for IT and security operations use cases.

Introduction

This ESG Technical Validation documents evaluation of Dell EMC Ready Solutions for AI: Deep Learning with Intel. We focused on understanding the performance, ease of use, and total cost of ownership (TCO) of the solution. To validate the full stack performance, we measured the number of tokens per second processed when training the Token2Token Big Transformer model and evaluated how Nauta, an open source initiative by Intel, accelerates deep learning model training. We also compared how Nauta simplifies the deep learning training process, and how the TCO of Deep Learning with Intel compares to running the same tasks on a leading public cloud AI service.

Co-Author(s): Tony Palmer

Introduction

ESG recently completed testing of IBM Watson Studio and Watson Machine Learning, which are designed to enable organizations to accelerate the value they can extract from AI more easily. Testing examined how IBM Watson Studio and Watson Machine Learning collect data, organize an analytics foundation, and analyze insights at scale—with a focus on the ease of operationalizing AI and data science to improve trust, simplify compliance, and speed monetization.