ESG Validation

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.

Co-Author(s): Kerry Dolan

Introduction

This report documents performance testing of the IBM FlashSystem 9150 with end-to-end NVMe, including a comparison of 16GB vs. 32GB Fibre Channel (FC) Host Bus Adapters (HBAs) in the server and storage array along with the b-type storage network switch.

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.

Abstract

This ESG Technical Review documents hands-on validation designed to demonstrate how Odaseva can help its customers address the complex challenges of data management in their Salesforce environments. The report focuses on the enterprise-class features of the Odaseva solution, its Salesforce data protection and data management functionality, and its Salesforce data governance and GDPR compliance capabilities.

Abstract

This ESG Lab Review documents our audit of InterSystems IRIS Data Platform performance testing. Tests were executed in a proof of concept environment, with comparisons to three common databases. Testing focused on performance of common queries run in the financial services industry.

Abstract

This report provides a first look at the key benefits of ForeScout’s bidirectional integration with Splunk Enterprise and Splunk Enterprise Security (ES), with a focus on how the ForeScout Extended Module can combine ForeScout’s endpoint insight, access control, and automated response capabilities with Splunk’s correlation, analysis, and search features. This integration provides visibility into and control of managed and unmanaged endpoints while helping security teams better understand their security risk posture and respond quickly to mitigate security issues.