Close-to-the-metal architecture handles millions of OPS with predictable single-digit millisecond latencies.
Learn MoreClose-to-the-metal architecture handles millions of OPS with predictable single-digit millisecond latencies.
Learn MoreScyllaDB is purpose-built for data-intensive apps that require high throughput & predictable low latency.
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Read MoreLearn about the interaction between analytics workload and ScyllaDB. Using Presto or Spark to execute analytics workload is a common procedure. Using ScyllaDB as the datastore to retrieve and save analytics workload provides the data scientists with the ability to work directly on their business data, saving time and data mishandling during data transformation. The information in the video describe examples and best use cases for Presto and Spark on top of ScyllaDB.
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