Pradeep Bhanot, Actian | William McKnight, GigaOm | Emma McGrattan, Actian | Andy Steed, Big Data LDN,
This webinar brings together GigaOm analyst William McKnight and special guest, Actian’s SVP, 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: 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 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