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Cloudera Named Leader in The Forrester Wave: Notebook-Based Predictive Analytics and Machine Learning, Q3 2020

Cloudera has been named a Leader in The Forrester Wave™: Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. At Cloudera, we are committed to always staying at the forefront of data and analytics innovation — enabling enterprises to more optimally work with data to deliver analytic results across the business quickly and securely.

Stackify's New Pricing: Everything you need to know

Stackify Retrace pricing is changing. We’re moving away from our old device-based billing to a modern usage-based billing. This means you’ll pick a plan based on the exact amount of projected logs and performance traces you collect and nothing more. You’re probably wondering why and what’s in it for me. Stackify has one core belief that has guided us since our inception and will never change.

Introducing The Open Source Program Office

Recently, we created the Sauce Labs Open Program Office to focus our attention internally on how we support and contribute to the open source community. Last week, we proudly launched a new web site with comprehensive information about the office, including best practices, contribution guidelines for the Sauce team, and a new blog where Diego Molina and Christian Bromann will write regularly about all things open source. This article is cross-posted from the new blog.

Forrester TEI Study Shows Snowflake Can Deliver a Customer ROI of 612% Over 3 Years

We are pleased to share the findings of a Forrester Consulting Total Economic Impact™ (TEI) study that evaluates the cost savings and business benefits enabled by Snowflake’s cloud data platform. Snowflake commissioned the study to gain insight into the return on investment we’re delivering for customers and learn how we can serve them better.

Report: Digital transformation in finance and banking

In the past few months, we’ve been researching the finance and banking market's approach to mobile and put together our key findings in a report. The aim is to help us — and you — better understand how and why fintech apps have dominated the app stores, and to explore how traditional banks can compete.

What's All the Hype About? Iguazio Listed in Five 2020 Gartner Hype Cycles

We are delighted to announce that Iguazio has been named a sample vendor in the 2020 Gartner Hype Cycle for Data Science and Machine Learning, as well as four additional Gartner Hype Cycles for Infrastructure Strategies, Compute Infrastructure, Hybrid Infrastructure Services, and Analytics and Business Intelligence, among industry leaders such as DataRobot, Amazon Web Services, Google Cloud Platform, IBM and Microsoft Azure (some of whom are also close partners of ours).

Qlik and Fortune Launch "History of the Fortune Global 500"

Earlier this year, we launched a unique partnership with Fortune Magazine, with the first-ever data analytics site supporting the publication of the annual Fortune 500 list. Today, we extended that partnership with the debut of the “History of the Fortune Global 500,” our interactive data analytics site timed with the publication of the 30th anniversary of the Fortune Global 500 list.

Google Cloud named a Leader in the 2020 Forrester Wave for API Management Solutions

APIs are a critical component of any enterprise’s digital transformation strategy. They can drive customer engagement, accelerate time to market of new services, power innovation and unlock new business opportunities. Therefore, choosing the right API management platform is critical to running a successful API program, and research from industry analyst firms like Forrester Research can help enterprises evaluate and choose the right solution.

Our reflections on the 2020 Gartner Magic Quadrant for Data Quality Solutions

“Every organization — no matter how big or how small — needs data quality,” says Gartner in its newly published Magic Quadrant for Data Quality Solutions. However, with more and more data coming from more and more sources, it’s increasingly harder for data professionals to transform the growing data chaos into trusted and valuable data assets.