Why ScyllaDB’s Shard Per Core Architecture Matters
3 perspectives on what shard-per-core involves and why it matters for teams who care about database performance. Also ... puppies!
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3 perspectives on what shard-per-core involves and why it matters for teams who care about database performance. Also ... puppies!
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Engineers behind ScyllaDB joined forces with Memcached maintainer dormando for an in-depth look at database and cache internals, and the tradeoffs in each.
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How ScyllaDB implemented its new Raft-based tablets architecture, which enables teams to quickly scale out in response to traffic spikes
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The rationale behind ScyllaDB's new “tablets” replication architecture, which builds upon a multiyear project to implement and extend the Raft consensus protocol. It enables teams to quickly...
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A look at how industry-leading teams (Discord, Expedia, ShareChat...) have tackled tough performance challenges with distributed databases.
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Why ScyllaDB completely bypasses the Linux cache during reads, using its own highly efficient row-based cache instead.
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Global cybersecurity leader Palo Alto Networks processes terabytes of network security events each day. They analyze, correlate, and respond to millions of events per second– many different types...
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Get the inside perspective on how Disney+ Hotstar simplified its “continue watching” data architecture for scale.
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Let’s compare the performance of the latest release of Scylla Open Source 4.4 against Cassandra 4.0 and Cassandra 3.11. We measured the latencies and throughputs at different loads, as well as the...
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Eliminating cloud vendor lockin and supporting rapid growth – with a 5X cost reduction Kishore Krishnamurthy, CTO at ZEE5, recently shared his perspective on Zee’s massive, business-critical...
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A look at the top reasons why teams decide to leave DynamoDB: throttling, latency, item size limits, and limited flexibility...not to mention costs.
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Lessons learned on data modeling, cache optimization, and hardware selection
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Read NowFrom managed Google Cloud services to ScyllaDB, Redpanda, Flink, and beyond
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Lessons learned building a Rust-backed Node.js driver for ScyllaDB: bridging JS and Rust, performance pitfalls, and benchmark results
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How a leading customer engagement platform handles 250K writes per second at 1ms p99 latency with 200TB+ data
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Benchmarks show ScyllaDB tablet-based scaling 7.2× faster than Cassandra's vNode-based scaling (9× with cleanup), sustaining ~3.5X higher throughput with fewer errors
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Human engineers make split-second diagnostic judgment calls. AI agents need to learn how to do this too.
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ScyllaDB Vector Search is now available. Learn about the design decisions, testing, and optimizations involved in achieving our performance goals.
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ScyllaDB is no longer “just” a faster Cassandra.
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How GE Healthcare moved a DynamoDB‑powered AI platform to hospital data centers, without rewriting the app
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