![]() It is also our experience that performance changes over time and is competitively different for different workloads. There are numerous other factors to consider in selection across factors of administration, integration, workload management, user interface, scalability, vendor, reliability, and numerous other criteria. This is only one point-in-time check into specific performance. Performance is important but is only one criterion for a data warehouse platform selection. Cloudera ran the Field Test 5.5 times more cost-effectively than Google BigQuery. In terms of price per performance, Cloudera ran the Field Test 20% more cost-effectively than the nearest competitor, Amazon Redshift, 40% more cost-effectively than Azure Synapse, and 80% more cost-effectively than Snowflake. Overall, the test results were insightful in revealing query execution performance of these platforms. This report outlines the results from an analytic performance test derived from the industry-standard TPC Benchmark™ DS (TPC-DS) to compare Cloudera Data Warehouse service (CDW)-part of the broader Cloudera Data Platform (CDP)-with four prominent competitors: Amazon Redshift, Azure Synapse Analytics, Google BigQuery, and Snowflake. For these reasons and others, many companies have leveraged the cloud to maintain or gain momentum. The cloud is a disruptive technology, offering elastic scalability vis-à-vis on-premises deployments, enabling faster service deployment and application development, and allowing less costly storage. The cloud enables enterprises to differentiate and innovate with these database systems at a much more rapid pace than was ever possible before. This report focuses on relational analytical databases in the public cloud because deployments are at an all-time high and poised to expand dramatically. Customers are leveraging a mix of relational analytical databases and data warehouses to gain analytic insights. Data-driven organizations leverage this data, for example, for advanced analysis to market new promotions, operational analytics to drive efficiency, or for predictive analytics to evaluate credit risk and detect fraud. Contact us Looking for the best way to get in touch with us?īig data analytics platforms load, store, and analyze volumes of data at high speed, providing timely insights to businesses.Careers Explore career opportunities to join GigaOm.Press Room Stay up to date with the latest company announcements.Partners Explore opportunities to partner with GigaOm.Why GigaOm Learn why GigaOm is right for you and your organization.Vendor Marketing Content Review Get the word out while maintaining the GigaOm brand.GigaOm Research FAQs Learn about participating in GigaOm research.Case Studies Learn about participating in GigaOm research.Research Calendar In-depth reports on this year’s topics and technology needs.Analyst Videos Explore our video library of analyst appearances.Blog Read GigaOm blogs for quick insight into your industry.Value Engineering Help prospective customers to adapt their workflows to new technology.GigaBrief Incisive roadmaps that move the needle with IT technology buyers. ![]()
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