EMA Awards Vertica as Top Vendor for Hyperperformance with Multi-Structured Data in Radar Report on Unified Analytics Warehouses

Posted June 4, 2021 by Jeff Healey, Vice President of Marketing, Vertica Product Group in Micro Focus

If you could describe in just one word what Vertica provides better than any other unified analytics platform on the market, what would that word be? Read any of our case studies, watch any of our Data Disruptor Webcasts, or attend Vertica Unify ’21, and, chances are, you’ll agree that that one word is performance.

And if you need more proof, EMA has named Vertica as the top vendor for Hyperperformance with Multi-Structured Data in its just-released Radar Report – Unified Analytics Warehouse – a Guide for Investing in Unified Analytics.

Specifically, EMA reports:

“Vertica’s long commitment to high-performance analytics, combined with their ongoing involvement in open-source technology and complete separation of compute and storage, contributes to their unique ability to analyze multi-structured data in various platforms while maintaining excellent performance.”

Preparing for the Convergence of the Data Warehouse and the Data Lake

EMA calls 2021 “the year of convergence.” With deep funding rounds, IPOs, and the near-weekly anointing of countless data unicorns capturing our headlines, there’s clearly a massive investment in data platforms, particularly data warehouses and data lakes. But, as is always the case, consumers don’t want to choose or compromise. They want a best of both world’s approach – a unified approach to analytics that enables them to analyze data in place with the highest levels of performance at scale, support for multiclouds and hybrid deployment models, and end-to-end machine learning support. EMA calls it the Unified Analytics Warehouse.

EMA’s report can be really helpful as you consider the key criteria for choosing a Unified Analytics Warehouse to meet your analytical needs:

  • Expansion toward the inclusion of multi-structured and multi-latency data
  • Broadening of analytical use cases to support both data science and data analyst workloads
  • Unification of multiple data management and analytical capabilities into a single, unified offering
  • Support for hybrid and multi-cloud deployments with some consistency across diverse deployments
  • Abstraction or automation of complex data management processes to speed and simplify insight delivery
  • Strong support for enterprise and regulatory requirements for data and analytics
  • Potential use as a strategic investment that may assimilate or consolidate multiple analytical technology investments

EMA Recognizes Vertica for Top Value in Hyperperformance and Analytical Flexibility

In its evaluation of 12 participating vendors, not only did EMA award Vertica for Hyperperformance for Multi-Structured Data, they also recognized Vertica as a Value Leader in both the Hyperformance and Enterprise Readiness and the Analytical Flexibility and Low Latency Use Cases. EMA also reported that Vertica showed Strong Value for the Hyperscale and Platform Leverage use case.

EMA’s three primary use cases in evaluating vendor strengths:

  • Hyperperformance and Enterprise Readiness: The first use case focuses on high-performance analytics with a complete and proven set of enterprise capabilities.
  • Analytical Flexibility and Low Latency: The second use case focuses on extreme flexibility for multiple analytical use cases, including multi-structured data and multi-latency analytics.
  • Hyperscale and Platform Leverage: The third use case focuses on maximum scalability and the seamless leverage of existing and low-cost data storage options.

The EMA Radar Report on Unified Analytics Warehouses also includes detailed data from the 12 vendors – everything from deployment and administration to cost advantage to functional and architectural trends in unified analytics. It’s a guide, after all, so you’ll want to download your complimentary copy as you research how a unified analytics warehouse can best prepare you for future success, regardless if you have invested in a data warehouse or a data lake.