{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Good Tech Companies ","title":"Scaling Performance Comparison: ScyllaDB Tablets vs Cassandra vNodes - ScyllaDB","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/c06e758d\"></iframe>","width":"100%","height":180,"duration":1904,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/scaling-performance-comparison-scylladb-tablets-vs-cassandra-vnodes-scylladb.\nNew benchmarks show ScyllaDB tablets scale 7.2× faster than Cassandra vNodes, delivering 3.5× higher throughput and fewer errors during expansion.\nCheck more stories related to undefined at: https://hackernoon.com/c/undefined.\n            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.\nThis story was written by: @scylladb. Learn more about this writer by checking @scylladb's about page,\n            and for more stories, please visit hackernoon.com.\nScyllaDB'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.\n        \n        ","thumbnail_url":"https://img.transistorcdn.com/HZ9CRzf5js9DK86xzUVMWBRbXYwg4dA8xVXJGVzpL6Y/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xMTNl/MjgwMmI0ZmEzNThj/YmJiOWNiN2UyZmRm/MzY3My5qcGVn.webp","thumbnail_width":300,"thumbnail_height":300}