Distributed Database Fundamentals Resources

Designing Data-Intensive Applications [O'Reilly Book]

Discover new ways of thinking about your distributed data system challenges. Download Martin Kleppmann's practical and comprehensive guide for data-intensive applications.

NoSQL Data Modeling Masterclass On-Demand

Learn real-world strategies for fast, scalable NoSQL data models in this free + interactive masterclass.

NoSQL Database Migration Masterclass

Designed for organizations planning or considering a NoSQL migration, this masterclass will assist practitioners looking to understand database migration strategies, logistics, and tools.

Database-as-a-Service in the Real World: Risks, Rewards & Tradeoffs

Discover the reality of working with various high-performance DBaaS offerings: Developer flexibility, Cost variability, Security, Performance, Transparency & Troubleshooting

High-Performance NoSQL Masterclass

Learn best practices for highly scalable, high performance NoSQL in this on-demand masterclass.

How to Maximize Database Concurrency

High concurrency is essential for impressive database performance. But if the clients end up overwhelming the database with requests at a pace that it can’t handle, throughput & latency suffer

Beyond Jurassic NoSQL: New Designs for a New World

Learn about the massive disconnect between the potential of a brave new distributed world and the reality of “modern” applications relying on fundamentally aged databases.

Overcoming Database Scaling Challenges with a New Approach to NoSQL

Practical tips and lessons learned from a variety of real-world DB scaling scenarios that involve databases such as ScyllaDB, PostgreSQL, Cassandra & DynamoDB.

Distributed Data Systems Masterclass

Learn how to build and manage enterprise-scale distributed data systems with the latest event streaming and distributed database technologies.

ScyllaDB: Proven Practices & Pitfalls for NoSQL at Scale

Discover what’s most important for achieving low latency at extreme scale. We'll walk you through the strategies and pitfalls learned from thousands of real-world distributed database projects.

7 Reasons Not to Put an External Cache in Front of Your Database

Discover the common pitfalls of using external caching and get real-world examples of companies that successfully eliminated their external cache.

Wide Column Store NoSQL vs SQL Data Modeling

Explore the core concepts of wide column NoSQL schema design, using ScyllaDB as an example to demonstrate the tradeoffs and rationale.

Database Trend Report: NoSQL Expectation vs Reality

Research on how the reality of working with relational and various NoSQL database types compared to the team's original expectations.

5 Factors when Selecting a High Performance, Low Latency Database

There are far more databases to consider and compare than ever before.

How to (Safely) Maximize Database Concurrency

Learn how Optimizely takes full advantage of the high concurrency that’s possible with their NoSQL database, ScyllaDB – while also guaranteeing correctness and protecting the quality of service

Latency and Consistency Tradeoffs in Modern Distributed Databases

7 Gamechangers' Strategies for Database Speed at Scale

Learn how leaders like Expedia, Disney+ Hotstar and Fanatics are evolving their data architecture for speed at scale.

ScyllaDB Summit - What's Next for NoSQL

Learn what's next for NoSQL, how teams at Discord, Epic Games, Strava & ShareChat are powering instantaneous experiences at scale, and how to get the most out of ScyllaDB.

High-Performance NoSQL Strategies at India's Top Social Media Platform

How ShareChat achieved 5X NoSQL performance w/ 80% cost savings – offering microsecond P99 latency with 1.2M op/sec for 180M monthly active users.