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Ever wondered how Apache Cassandra is evolving to support strictly serializable, multi-key transactions? Dive deep into the engine room with Accord, the new consensus protocol set to revolutionize how CQL operates. 🚀 In this detailed technical session from the Cassandra Track at Community Over Code 2025, Ariel Weisberg pulls back the curtain on the intricate dance between the familiar Cassandra Query Language (CQL) and the powerful Accord consensus protocol. This isn't a high-level overview; it's a comprehensive walkthrough of the internal mechanics that make it all possible. Discover how Accord is designed as a pluggable engine that manages complex transactions without being tied to Cassandra's data model, and learn about the critical challenge of running Accord and Paxos simultaneously during a live migration. In this deep dive, you'll learn about: The Anatomy of a Transaction: A look at how Accord handles keys, ranges, reads, and writes. Table Oblivious Design: How Accord supports multi-key and multi-table transactions by being unaware of the underlying table structure. Bridging Two Worlds: The strategies used to ensure data visibility and consistency while migrating from Paxos to Accord, allowing both systems to run at the same time. Key Interfaces: A breakdown of the core interfaces (Query, Update, Read, Result) that connect Cassandra's logic to Accord's execution engine. Consistency and Determinism: How Accord uses key barriers and sync points to establish happens-before relationships and enable deterministic recovery. If you're a database engineer, architect, or a Cassandra developer looking to understand the future of the platform, this is a must-watch session. Stick around for the Q&A at the end, where Ariel tackles tough questions about guardrails, non-determinism, and the future of transactional backups with Accord. What part of the Accord architecture are you most excited about? Let us know in the comments below! 👇 #ApacheCassandra #AccordProtocol #DistributedSystems #DatabaseArchitecture #CQL #Linearizability #Paxos #CommunityOverCode #BigData #Consistency