ScyllaDB Customer Experience Spotlight: Susie Solis

Welcome to the latest installment of a new blog series introducing some of the experts you might encounter when you work with ScyllaDB. (Past ones: Tyler Denton, Faisal Saeed). Today we’re featuring Susie Solis, Technical Support Engineer on the Customer Experience team here at ScyllaDB. She lives in Colorado and has been at ScyllaDB for almost 3 years. Let’s learn a little about Susie… I’… Source

DDIA 2nd Edition Excerpt: On Scalability

Martin Kleppmann and Chris Riccomini’s scalability considerations for designing data-intensive applications The following is an excerpt from Chapter 2 of the shiny new Designing Data-Intensive Applications Second Edition, by Martin Kleppmann and Chris Riccomini. It is published here with permission from O’Reilly. For more background on the book (known as the bible of data systems) and its… Source

Lessons Learned from Real-World NoSQL Database Migrations

Discover the strategies, challenges, and trade-offs teams faced in a few real-world migrations to ScyllaDB In “What Matters Most for NoSQL Migrations”, I shared my top strategies for planning, executing and de-risking a NoSQL database migration. I discussed key steps like schema and data migration, data validation and important considerations such as technology switches, tooling… Source

Offloading I/O to Dedicated Cores: An Asymmetric io_uring Backend for Seastar and ScyllaDB

We moved I/O off application cores to dedicated cores to give compute-heavy workloads more breathing room Modern high-throughput systems often run on machines with many cores. At that scale, one practical problem becomes increasingly visible: CPU time spent on low-level I/O handling competes directly with CPU time needed for application-level work. In this post, we explore how shifting more I/ Source

What Matters Most for NoSQL Migrations

How to prioritize the things that matter most for planning, executing and de-risking your NoSQL database migration No team wants to take on a database migration. But many teams are migrating NoSQL databases to optimize performance at scale, alleviate maintenance burdens and/or control costs. If a migration is on your team’s radar, how do you make the process as painless as possible… Source

Build Durable Chat Memory for RAG Using ScyllaDB and LangChain

How to replace LangChain’s in-memory chat history with ScyllaDB — so your RAG chatbot retains context across restarts and scales across replicas This post demonstrates how to integrate ScyllaDB Vector Search into your LangChain project for RAG use cases, as well as how to use ScyllaDB as a durable conversation memory within LangChain. Large language models are trained on a fixed snapshot of… Source

ScyllaDB Is Now Supported in MCP Toolbox for Databases

Connect your AI agents to ScyllaDB using the new ScyllaDB integration in MCP Toolbox for Databases ScyllaDB is now a supported database source in MCP Toolbox for Databases (as of v1.5.0). This means that your agents and applications can query your ScyllaDB clusters using the same framework they use to connect to Postgres, MySQL, BigQuery, and dozens of other databases. This post walks through… Source

Agent Memory at Monster Scale with Mem0 and ScyllaDB Cloud

Combine Mem0’s memory management with ScyllaDB’s persistence features to deploy large-scale AI agents Scaling AI agents to handle persistent memory for a large number of users (e.g. 500k+ DAU) introduces engineering bottlenecks. These complications generally compound across two areas: how context is filtered for the model and how that data is stored globally. Mem0 addresses context efficiency… Source