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Database Internals: Working with IO

Explore the tradeoffs of different Linux I/O methods and learn how databases can take advantage of a modern SSD’s unique characteristics  The following blog is an excerpt from Chapter 3 of the Database...

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ScyllaDB 2024.2 Introduces New Efficiency & Elasticity via “Tablets”

New capabilities introduced in ScyllaDB Enterprise make scaling operations with Tablets up to 30X faster while reducing network costs by up to 50% ScyllaDB just released ScyllaDB 2024.2, the first...

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How Digital Turbine Moved DynamoDB Workloads to GCP – In Just One Sprint

How Joseph Shorter and Miles Ward led a fast, safe migration with ScyllaDB’s DynamoDB-compatible API  Digital Turbine is a quiet but powerful player in the mobile ad tech business. Their platform is...

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A Tale from Database Performance at Scale

The following is an excerpt from Chapter 1 of Database Performance at Scale (an Open Access book that’s available for free). Follow Joan’s highly fictionalized adventures with some all-too-real...

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Why We’re Moving to a Source Available License

TL;DR ScyllaDB has decided to focus on a single release stream – ScyllaDB Enterprise. Starting with the ScyllaDB Enterprise 2025.1 release (ETA February 2025): ScyllaDB Enterprise will change from...

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Top Blogs of 2024: Comparisons, Caching & Database Internals

Let’s look back at the top 10 ScyllaDB blog posts written this year – plus 10 “timeless classics” that continue to get attention. Before we start, thank you to all the community members who contributed...

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ScyllaDB University and Training Updates

It’s been a while since my last update. We’ve been busy improving the existing ScyllaDB training material and adding new lessons and labs. In this post, I’ll survey the latest developments and update...

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How To Analyze ScyllaDB Cluster Capacity

Monitoring tips that can help reduce cluster size 2-5X without compromising latency Editor’s note: The following is a guest post by Andrei Manakov, Senior Staff Software Engineer at ShareChat. It was...

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How Supercell Handles Real-Time Persisted Events with ScyllaDB

How a team of just two engineers tackled real-time persisted events for hundreds of millions of players With just two engineers, Supercell took on the daunting task of growing their basic account...

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A Tiny Peek at Monster SCALE Summit 2025

Big things have been happening behind the scenes for the premier Monster SCALE Summit. Ever since we introduced it at P99 CONF, the community response has been overwhelming. We’re now faced with the...

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How to Build a High-Performance Shopping Cart App with ScyllaDB

Build a shopping cart app with ScyllaDB– and learn how to use ScyllaDB’s Change Data Capture (CDC) feature to query and export the history of all changes made to the tables. This blog post showcases...

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Inside Tripadvisor’s Real-Time Personalization with ScyllaDB + AWS

See the engineering behind real-time personalization at Tripadvisor’s massive (and rapidly growing) scale What kind of traveler are you? Tripadvisor tries to assess this as soon as you engage with the...

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Real-Time Write Heavy Workloads: Considerations & Tips

Let’s focus on the performance-releated complexities that teams commonly face with write-heavy workloads and discuss your options for tackling them Write-heavy database workloads bring a distinctly...

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First Look at the Monster SCALE Summit Agenda

Given that we’re hosting Monster SCALE Summit…with tech talks on extreme-scale engineering…many of which feature our monstrously fast and scalable database, a big announcement is probably expected? We...

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Tracking Millions of Heartbeats on ZEE’s Streaming Platform

How strategic database migration + data (re)modeling improved latencies and cut database costs 5X ZEE is India’s largest media and entertainment business, covering broadcast TV, films,  streaming...

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Books by Monster SCALE Summit 25 Speakers: Distributed Data Systems & Beyond

Monster SCALE Summit speakers have amassed a rather impressive list of publications, including quite a few books. This blog highlights 10+ of them. If you’ve seen the Monster SCALE Summit agenda, you...

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Charybdis: Building High-Performance Distributed Rust Backends with ScyllaDB

Build a high-performance distributed Rust backend—without losing the expressiveness and ease of use of Ruby on Rails and  SQL Editor’s note: This post was originally published on Goran’s blog. Ruby on...

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How JioCinema Uses ScyllaDB Bloom Filters for Personalization

Why they used ScyllaDB Bloom Filters instead of building their own using common solutions like Redis Bloom filters When you log in to your favorite streaming service, first impressions matter. The...

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Build an RPG Using the Bluesky Jetstream, ScyllaDB, and Rust

Learn how to build a Rust application that tracks Bluesky user experiences and events. Let’s build a high-performance, scalable, and reliable application that can: Fetch and process public events from...

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Why TRACTIAN Migrated from MongoDB to ScyllaDB for Real-Time ML

TRACTIAN’s ML model workloads increased over 2X in a year. Here’s why they changed databases and their lessons learned What happens when you hit a database scaling wall? Since TRACTIAN, an AI-driven...

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