Close-to-the-metal architecture handles millions of OPS with predictable single-digit millisecond latencies.
Learn MoreScyllaDB Vector Search Early Access. Powering real-time AI, recommendations, and RAG at scale. Learn more
Close-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.
Learn MoreLevel up your skills with our free NoSQL database courses.
Take a CourseOur blog keeps you up to date with recent news about the ScyllaDB NoSQL database and related technologies, success stories and developer how-tos.
Read the BlogLearn 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.