Topic
Cassandra
Learn Cassandra as a connected topic across chapters, concepts, simulations, and interview reasoning.
10 Concepts6 Articles3h 4m
Overview
Learn Cassandra as a connected topic across chapters, concepts, simulations, and interview reasoning.
How this topic helps
Databases
Distributed Systems
Mongodb
Nosql
Learning Path in this Topic
Series that contain articles from Cassandra. Select a path to filter the article list.
Articles
6 matched articles
Article 1NoSQL Partitioning: How Cassandra, DynamoDB, and MongoDB Split DataTLDR: Every NoSQL database hides a partitioning engine behind a deceptively simple API. Cassandra uses a consistent hashing ring where a Murmur3 hash of your partition key selects a node — virtual nod24 minArticle 2Azure Cosmos DB API Modes Explained: NoSQL, MongoDB, Cassandra, PostgreSQL, Gremlin, and TableTLDR: Cosmos DB's six API modes are wire-protocol compatibility layers over one shared ARS storage engine — except PostgreSQL (Citus), which is genuinely different. Every API emulates its native datab24 minArticle 3The Dual Write Problem in NoSQL: MongoDB, DynamoDB, and CassandraTLDR: NoSQL databases trade cross-entity atomicity for scale — and every database draws that atomicity boundary in a different place. MongoDB's boundary is the document (pre-4.0) or the replica set (436 min
Article 4Compare-and-Swap and Optimistic Locking: How Every Database Implements ItTLDR: Compare-and-Swap (CAS) is the CPU-level atomic instruction that makes lock-free concurrency possible. Optimistic locking builds on it at the database layer: read freely, compute locally, write o34 min
Article 5Sharding Approaches in SQL and NoSQL: Range, Hash, and Directory-Based Strategies ComparedTLDR: Sharding splits your database across multiple physical nodes so no single machine carries all the data or absorbs all the writes. The strategy you choose — range, hash, consistent hashing, or di29 minArticle 6How CDC Works Across Databases: PostgreSQL, MySQL, MongoDB, and BeyondA data engineering team at a fintech company built what they believed was a robust Change Data Capture pipeline: three source databases (PostgreSQL, MongoDB, and Cassandra), Debezium connectors wired 37 min