Posts taggedignite3

Apache Ignite 3 manages client connections so efficiently that the scaling limits common in database-style systems simply aren't a factor.

Schema changes in traditional databases mean downtime, lost revenue, and deployment chaos across multiple systems. This piece demonstrates how Apache Ignite's flexible schema approach helps lets data model evolve at the pace of your business requirements.

Traditional databases force a choice: fast memory access or durable storage. High-velocity applications processing 10,000+ events per second hit a wall when disk I/O adds 5-15ms to every transaction.

Your high-velocity application began with smart architectural choices: PostgreSQL for reliable transactions, Redis for fast cache access, and custom processing for domain-specific logic. These decisions powered early success and growth.

You can scale out your database, add more nodes, and tune every index, but if your data isn’t in the right place, performance still hits a wall. Every distributed system eventually runs into this: joins that cross the network, caches that can’t keep up, and queries that feel slower the larger your cluster gets.

Apache Ignite 3 is a memory-first distributed SQL database platform that consolidates transactions, analytics, and compute workloads previously requiring separate systems. Built from the ground up over four years of development, it represents a complete departure from traditional caching solutions toward a unified distributed computing platform with microsecond latencies and collocated processing capabilities.

Apache Ignite 3.0 is the latest milestone in Apache Ignite evolution that enhances developer experience, platform resilience, and efficiency. In this article, we'll explore the key new features and improvements in Apache Ignite 3.0.