The economic uncertainty of the last year has called for organizations to reevaluate their data and analytics infrastructure in order to keep costs in check and limit complexity.
“In 2023, organizations continue to scale their data and analytics consumption, and the mass adoption of data-intensive use cases such as machine learning and real-time streaming outstrips the performance of legacy systems,” said Senior Analyst Alexander Wurm. “The data warehouse market has been forced to evolve rapidly, and vendors now compete to deliver multi-tenant elastic services that are designed to support data storage and processing at petabyte scales.”
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