Talend vs. Xplenty: Comparison and Review

The Talend Product Suite tries to be a one-stop-shop for everything data. Whether you need an ESB, iPaaS, API Gateway, or ETL platform, Talend has a tool for it. Xplenty, on the other hand, is a targeted solution that focuses on ETL only. It's an enterprise-grade ETL solution that empowers non-tech-savvy users to build sophisticated data integrations. Both Talend and Xplenty are powerful ETL solutions with excellent reputations and high functionality.

Driving Agility and Scalability through Smart Data

Last year presented business and organizational challenges that hadn’t been seen in a century and the troubling fact is that the challenges applied pains and gains unequally across industry segments. While brick-and-mortar retail was crushed a year ago with mandated store closures, digital commerce retailers realized ten years of digital sales penetration in only three months.

ClearML hits 1.0

May 3rd 2021 – With over 11 man-years of working, and tinkering, long into the night, I am pleased to announce we have hit version 1.0. Following quickly after the release of ClearML 0.17.5, we added the last remaining features we felt 1.0 needed. Namely multi-model support, as well as improved batch operations. With these in place, the choice was clear. The next version released should be the baseline moving forward.

Build interactive analytics in your React App with ThoughtSpot Everywhere

ThoughtSpot has revolutionized access to analytics for business users through search and AI. In addition to being a general purpose analytics tool that allows unprecedented access to business users, product builders can now use ThoughtSpot to deliver search-based analytics to customers. Today, we are launching a brand new SDK that allows you to embed ThoughtSpot into your own web app in literally minutes.

Iguazio Named A Fast Moving Leader by GigaOm in the 'Radar for MLOps' Report

At Iguazio, we’ve spoken and written at length about the challenges of bringing data science to production. The complexity of operationalizing ML can generate huge costs in terms of work hours and compute resources, especially as successful projects get scaled up and expanded. We’re proud to share that the Iguazio Data Science Platform has been named a fast moving leader in the GigaOm Radar for MLOps report.

Building the Modern Analytics and BI Team

We are living in an unprecedented time driven by rapidly changing economic scenarios, the rise of digital native organizations and growing digital revolution, and the emergence of transformative business models. At the heart of much of this revolution is data. Organizations are collecting, analyzing, and mining data at an accelerated rate, creating new opportunities for powerful insights that deliver significant business impact.

Three reasons your cloud data warehouse needscloud analytics now

Today, just 24% of organizations say they've succeeded at becoming data-driven.* This is a challenge many data leaders are still struggling to solve despite increasing demand for data-driven insights from business users. Migrating to a cloud data warehouse is a good first step-and many have done so-but introducing new technology is not the same as ensuring adoption. To truly reap the benefits of your cloud data warehouse investment, you need an equally fast, scalable, and easy-to-adopt analytics solution to make your cloud data available to all.