Predictable Performance at Scale to 2M OPS
Watch this video to see how ScyllaDB delivers predictable performance at scale -- with single-digit ms latencies as we scale from 500K to 2M OPS in <10 minutes.
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Watch this video to see how ScyllaDB delivers predictable performance at scale -- with single-digit ms latencies as we scale from 500K to 2M OPS in <10 minutes.
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This narrated demo shows ScyllaDB's linear scalability and low latency. It demonstrates real-time data ingestion and processing, maintaining single-digit millisecond P99 latencies even as capacity dou
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ScyllaDB is the monstrously fast and scalable NoSQL database for data-intensive apps that require high performance and low latency.
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ScyllaDB is a monstrously fast and scalable distributed NoSQL database designed for high throughput and low latency at scale. But what makes ScyllaDB so fast?
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This demo explores how ScyllaDB differs from Apache Cassandra in performance, elasticity, and capabilities such as workload prioritization. It shows how ScyllaDB shards data per CPU core, avoids garba
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This demo compares ScyllaDB and DynamoDB in terms of elasticity, latency, and cost efficiency. It highlights how ScyllaDB scales faster, eliminates the need for external caching, avoids per-table capa
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ScyllaDB's Workload Prioritization lets you control how different workloads compete for system resources. It's used to prioritize urgent application requests that require immediate response times vers
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In this video tutorial Attila Toth, ScyllaDB developer advocate, walks you through a sample video streaming application built with ScyllaDB Cloud and NextJS.
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How Comcast's move from Cassandra achieved a 10x improvement in latency, enabled them to handle 2x the requests at <5% of the cost and provided an extreme node reduction (962 to 78).
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Hear Aravind Srinivasan discuss how Grab does fraud detection using ScyllaDB's low-latency, high-performance NoSQL database. (Read the full case study on our website - http://ow.ly/PmN450y3CYo) #nosq
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Dan Podhola, Principal Engineer at Zillow Group, discusses how Zillow Group uses Scylla to run real-time workloads alongside updates of 6,500 records per second.
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Keith Sader, Engineering Manager of the Ad Server (Demand) team, explains how Gumgum moved to Scylla Cloud to deliver AI-driven ads with better performance and lower costs, while virtually eliminating
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Alexys Jacob discusses two years of satisfaction and increasing Scylla adoption.
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“I’ve worked with BigTable, Redis, Postgres and DynamoDB. Compared to all of these Scylla provides very low latencies and has been inexpensive and easy to deploy.” – Rohit Saboo, ML Infrastructure Lea
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Visit the ScyllaDB case study library
Explore nowDaniel Barsky discusses the reasons behind Augury's choose of Scylla over Cassandra.
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Richard Ney talks Scylla versus DynamoDB and Cassandra.
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Alex Bantis describes how ScyllaDB helped Tubi to unify ML-driven apps with Scala and Spark.
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Rafal Furmański and Piotr Olchawa of Opera relate their move from Cassandra to Scylla.
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How Fanatics, official retailer of virtually every major sports league and event, beat Cassandra struggles such as node sprawl, frequent garbage collection pauses, and CPU spikes during compaction.
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Krishna Palati and Rahul Gaikwad of FireEye (now Trellix) discuss how ScyllaDB provided a 1000-2000% performance increase for JanusGraph while slashing AWS costs by half.
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