Cloud Analytics & Partnering: Value based approach for Mid-Sized-Companies

In this rapidly changing environment, businesses look out for sustainable and balanced growth in order to pave way for their long term vision. To ensure that, there are many questions to answer of course but seeking answers and choosing how you compete in the marketplace leads you to your corporate strategy: vision, plan, measures and goals.

With the advent of technology penetrating the market at a rapid pace, mid-sized companies have been able to develop their capability sets like those found in larger companies, with the only difference being their execution strategy. With the course of time, smaller companies have been able to realize cloud technology benefits, make strong strategies and challenge incumbents in the competitive landscape.

Please download this whitepaper, which covers a more detailed analysis of the above summary.

DataBricks vs. Cloudera: Building a unified Big Data Management platform

With the new wave of data platforms, many early adopter organizations are questioning their original direction, and looking to determine how to continue to stay current without spending too much, getting organizationally distracted, or winding up in a technological dead end. Making these decisions purely based on the technical merits of the platforms and on no formal cost (TCO) analysis may not yield the right answer. Elevondata was conducted an in-depth analysis of data platforms for a media client, which favored an enterprise-scale rollout of Databricks, but certain areas of the company were already using Cloudera.

Both cloudera and Databricks can handle streaming real-time data science applications, such as the “tenants” listed in the document. Both can handle building a data lake platform, with the above noted distinctions. We think cloudera could offer more flexibility in the long term across the broader set of use cases, while Databricks could reduce complexity and cost (how much cost is open to question) in the near term, while somewhat limiting flexibility.

Please download this whitepaper, which covers a more detailed analysis of the above summary.