Traditional systems force a choice: real-time analytics or fast transactions. Apache Ignite eliminates this trade-off with integrated platform performance that delivers both simultaneously.
Your high-velocity application processes events fast enough until it doesn't. The bottleneck isn't CPU or memory. It's data movement. Every time event processing requires data from another node, network latency adds milliseconds that compound into seconds of delay under load.
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.
Apache Ignite shows what really happens once your good enough multi-system setup starts cracking under high-volume load. This piece breaks down why the old stack stalls at scale and how a unified, memory-first architecture removes the latency tax entirely.
Discover how Apache Ignite 3 keeps related data together with schema-driven colocation, cutting cross-node traffic and making distributed queries fast, local and predictable.
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, it represents a complete departure from traditional caching solutions toward a unified distributed computing platform with microsecond latencies and collocated processing capabilities.
Apache Ignite 3.1 improves the three areas that matter most when running distributed systems: performance at scale, language flexibility, and operational visibility. The release also fixes hundreds of bugs related to data corruption, race conditions, and edge cases discovered since 3.0.
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.
Apache Ignite was always appreciated by its users for two primary things it delivers - scalability and performance. Throughout the lifetime many distributed systems tend to do performance optimizations from a release to release while making scalability related improvements just a couple of times. It's not because the scalability is of no interest. Usually, scalability requirements are set and solved once by a distributed system and don't require significant additional interventions by engineers.
However, Apache Ignite grew to the point when the community decided to revisit its discovery subsystem that influences how well and far Ignite scales out. The goal was pretty clear - Ignite has to scale to 1000s of nodes as good as it scales to 100s now.
It took many months to get the task implemented. So, please join me in welcoming Apache Ignite 2.5 that now can be scaled easily to 1000s of nodes and goes with other exciting capabilities. Let's check out the most prominent ones.