This free 1-hour webinar from GigaOm Research brings together GigaOm analyst William McKnight and special guest, Actian’s SVP of Engineering, Emma McGrattan to discuss the intriguing results from an in-depth GigaOm Analytic Field Test derived from the industry-standard TPC Benchmark™ H (TPC-H) to compare five leading cloud data warehouse offerings and perform a High Performance Cloud Data Warehouse Vendor Evaluation: Actian Avalanche, Amazon Redshift, Azure Synapse, Snowflake, and Google BigQuery.
Data-driven organizations rely on analytic databases to load, store, and analyze volumes of data at high-speed to derive timely insights. Data volumes within modern organization’s information ecosystems are rapidly expanding—placing significant performance demands on legacy architectures. Today, to fully harness their data to gain a competitive advantage, businesses need modern, scalable architectures and high levels of performance and reliability to provide timely analytical insights. In addition, many companies are attracted to fully-managed cloud services.
In this 1-hour webinar, you will discover:
- How cloud databases are a way for enterprises to avoid large capital expenditures, provision quickly, and provide performance at scale for advanced analytic queries
- How these leading cloud data warehouses compare on both performance and cost across a broad spectrum of real-world query use cases
- How user concurrency can materially impact both performance and cost
- Who consistently outperformed the competition in the test
This exciting webinar: “High Performance Cloud Data Warehouse Vendor Evaluation” aims to bring you the latest news and developments from the world of enterprise technology, bringing together industry leading analysts, tech insiders, practitioners. Join some of the industries brightest and best thinkers as they delve into the subtleties of a variety of areas. These webinars span topics, verticals, industries, and international borders,
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Don’t miss out, register today for this free webinar “High Performance Cloud Data Warehouse Vendor Evaluation”