High Performance Cloud Data Warehouse Vendor Evaluation
This free 1-hour webinar from GigaOm Research brings together GigaOm analyst William McKnight and special guest, Actian’s Chief Product Officer, Raghu Chakravarthi 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
This webinar focuses on relational analytical databases in the cloud because deployments are at an all-time high and poised to expand dramatically. The cloud enables enterprises to differentiate and innovate with these database systems at a much more rapid pace than was ever possible before.
Register now to join GigaOm and Actian for this free expert webinar.
Who Should Attend:
• Data Architects
• Data Strategists
• Data Analysts
• IT Leadership
• Data Engineers
• Chief Data Officer & Team
• Application Owners