The infrastructure behind most cross-border systems was designed for batch settlement and daily clearing cycles with data sitting across multiple platforms and regions. As the industry moves toward real-time models, this architectural mismatch is getting harder to manage.
GridGain Blog
Customers expect money to move immediately. Balances should refresh in real time. Fraud checks must occur before the authorization window closes. And the platform has to hold up during traffic spikes, deployments, and infrastructure failures just as well as it does on a normal day.
Many organizations are trying to run always-on, account-based payment flows on platforms designed for batch jobs, siloed data, and slow recovery. When that happens, the problem is not only latency. It is operational weakness that shows up at exactly the wrong time.
MariaDB just completed the acquisition of GridGain. Before I go into why this is a very exciting and promising milestone for GridGain and its customers, I want to provide some important context about what’s happening in the industry.
In an enterprise IT landscape plagued by unfulfilled promises, we are deeply gratified that GridGain has been recognized with a 2025 Intellyx Digital Innovator Award , an honor underscoring our success at delivering quantifiable business benefits for our customers.
If you're new to running Apache Ignite in production, or planning to deploy it for regulated workloads, compliance readiness isn't optional. Our customers at GridGain (the original creators of Ignite and regular committers) regularly ask about security controls, audit capabilities, and data governance features they need to satisfy internal compliance requirements.
In Part 1 of this two-part blog series, we saw how to go beyond basic caching with GridGain 8. Part 1 discussed why people start with Redis and the challenge Redis brings, the Redis and GridGain designs, and then mapping Redis to GridGain 8.
Learn to model Redis data structures like String, Hash, List, and Set in GridGain. Gain distributed SQL, ACID transactions, and parallel compute.
A2A payments require banks to collapse latency for fraud, compliance, and cross-border FX. Learn how compute-to-data and real-time AI are rebuilding infrastructure.
Learn why operational guardrails are essential for running Apache Ignite at scale. Discover how GridGain's DCR and Rolling Upgrades minimize downtime and protect against catastrophic failure.