RESEARCH

Enterprise Readiness of Cloud MLOps: Azure Machine Learning, Amazon SageMaker, and Google Vertex AI

By McKnight Consulting Group / May 12, 2022 /

MLOps is essential for scaling ML. Without it, enterprises risk struggling with costly overhead and stalled progress. Several vendors support MLOps: the major offerings are Microsoft Azure ML, Google Vertex AI, and Amazon SageMaker. We looked at these offerings from the perspective of enterprise features and time to value. For the analysis, we used categories…

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The Time for Cloud Master Data Management is Now

By McKnight Consulting Group / May 12, 2022 /

The demand for data to power cloud apps, improve AI models and deliver on digital business initiatives has never been greater. Cloud MDM can help deliver the trusted business analytics and insights, faster innovation, and improved customer relationship management your company needs to stay competitive. Get the report here.

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SQL Transaction Processing and Analytic Performance Price-Performance Testing

By McKnight Consulting Group / May 7, 2022 /

This report outlines the results from two GigaOm Field Tests (one transactional and the other analytic) derived from the industry-standard TPC Benchmark™ E (TPC-E) and TPC Benchmark™ H (TPC-H) to compare two IaaS cloud database offerings: Microsoft SQL Server on Amazon Web Services (AWS) Elastic Cloud Compute (EC2) instances. Microsoft SQL Server Microsoft on Azure Virtual Machines (VM). Get…

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Cloud Database Performance – McKnight Benchmark Report

By McKnight Consulting Group / March 23, 2022 /

A report by McKnight Consulting Group used industry-standard benchmarks to test three well-known, cloud-optimized analytical platforms – Vertica in Eon Mode, Amazon Redshift, and Snowflake. Get the report here.

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Healthcare Natural Language Processing

By McKnight Consulting Group / March 23, 2022 /

Our study examined three public cloud service offerings that use natural language processing to meet the challenge—Google Cloud Healthcare API, Amazon Comprehend Medical, and Microsoft Azure Text Analytics for Health. We manually annotated medical notes to identify terms within the documents from a common set of entities and relationships. Next, we built an annotation taxonomy…

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NetApp Cloud Insights

By McKnight Consulting Group / March 23, 2022 /

This report format incorporates a field test/benchmark with a white paper-level paper. The body of the paper provides only a summary of testing/results, with the bulk of the process/findings moved to an annex. It therefore makes for a highly readable, punchy, yet detailed paper. The goal of our study presented in this paper is to…

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API and Microservices Management Benchmark

By McKnight Consulting Group / March 23, 2022 /

Application programming interfaces, or APIs, are a ubiquitous method and de facto standard of communication among modern information technologies. The information ecosystems within large companies and complex organizations encompass a vast array of applications and systems, many of which have turned to APIs for exchanging data as the glue that holds these heterogeneous artifacts together.…

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Yellowbrick Data

By McKnight Consulting Group / January 31, 2022 /

The purpose of this Solution Spotlight is to extend the analysis from prior reports into more detail on several of the key criteria and evaluation metrics and further demonstrate Yellowbrick’s status as a Leader and potential as an Outperformer in the rapidly growing and competitive data warehouse space. Get the report here.

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High Performance Application Security Testing

By McKnight Consulting Group / December 9, 2021 /

In this report, we performance tested security mechanisms on NGINX, AWS, and Azure: ModSecurity, NGINX App Protect WAF, AWS Web Application Firewall (WAF), and Azure WAF. This last product was tested as a fully managed security offering. Get the report here.

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RADAR for Master Data Management

By McKnight Consulting Group / October 16, 2021 /

The economic payback of master data management starts with “build once, use often.” Master data must be accessible to each new application that is built, and these applications routinely have up to 50% effort and budget directed toward collecting master data. This GigaOm Radar report evaluates the capabilities of notable players in the MDM space…

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