# Scaling Performance Comparison: ScyllaDB Tablets vs Cassandra vNodes - ScyllaDB

Page: https://stenobird.com/podcast/the-good-tech-companies-6882802/scaling-performance-comparison-scylladb-tablets-vs-cassandra-vnodes-scylladb
Text version: https://stenobird.com/podcast/the-good-tech-companies-6882802/scaling-performance-comparison-scylladb-tablets-vs-cassandra-vnodes-scylladb.md
Podcast: [The Good Tech Companies](https://stenobird.com/podcast/the-good-tech-companies-6882802)
Published: 2026-06-11T16:23:28+00:00
Episode link: https://share.transistor.fm/s/c06e758d
Audio file: https://media.transistor.fm/c06e758d/1c672e79.mp3
Processing state: not_requested
JSON: https://stenobird.com/v1/public/podcasts/the-good-tech-companies-6882802/episodes/scaling-performance-comparison-scylladb-tablets-vs-cassandra-vnodes-scylladb
Duration seconds: 1904

## Resource

This story was originally published on HackerNoon at: https://hackernoon.com/scaling-performance-comparison-scylladb-tablets-vs-cassandra-vnodes-scylladb . New benchmarks show ScyllaDB tablets scale 7.2× faster than Cassandra vNodes, delivering 3.5× higher throughput and fewer errors during expansion. Check more stories related to undefined at: https://hackernoon.com/c/undefined . You can also check exclusive content about #scylladb-tablets-benchmark , #vnodes-scaling , #cassandra-performance , #database-elasticity , #cassandra-cleanup-operation , #distributed-database-scale-out , #node-bootstrap-performance , #good-company , and more. This story was written by: @scylladb . Learn more about this writer by checking @scylladb's about page, and for more stories, please visit hackernoon.com . ScyllaDB's tablet-based architecture dramatically outperformed Apache Cassandra's vNode model in scale-out testing. Benchmarks showed 7.2× faster capacity expansion, rising to 9× faster when Cassandra cleanup operations were included. ScyllaDB sustained roughly 3.5× higher throughput with fewer timeouts and errors, while enabling parallel node additions and eliminating the operational overhead of post-bootstrap cleanup.

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## Transcript

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