Choosing community support over an enterprise SLA increases downtime risk and revenue loss. Learn when guaranteed support becomes essential for production systems.
GridGain Blog
Learn how ETL pipelines create costly data latency, engineering overhead, and lost revenue—and why real-time OLAP/HTAP databases eliminate the ETL tax for true innovation speed.
Discover how hybrid transactional/analytical processing (HTAP) powers GenAI and Agentic AI with real-time data, context, and low-latency performance.
We're excited to share that Blocks and Files has published an interview with GridGain CTO Lalit Ahuja on the topic of GridGain’s applicability to AI inferencing.
Discover how GridGain 9.1 enables real-time analytics on live data without slowing OLTP performance using dual storage, workload isolation, and a unified SQL engine.
In today’s data-driven world, processing speed and instant insights matter more than ever. The GridGain data platform is purpose-built to power real-time, highly scalable transactional, analytical, and AI applications — delivering consistent processing and contextual intelligence that modern businesses demand, all at low-millisecond latencies and massive scale.
When your Apache Ignite cluster is using excessive memory, Ignite provides various techniques to enable you to handle the massive volumes of data generated by your applications and services. While the common advice is to "throw more resources into the cluster," it is often not practical or feasible to instantly scale out a cluster. Typically, an Ignite cluster with a specific memory capacity is…
OverviewPrometheus is a popular monitoring tool that is supported by the Cloud Native Computing Foundation, the group behind Kubernetes.
GridGain vs Redis: Discover why GridGain manages real data in memory, not copies, for faster performance, stronger consistency, and easier scaling.
Apache Ignite is an extremely versatile open-source data platform that supports a wide-range of integrated components. These components include a robust Machine Learning (ML) library that supports popular ML algorithms, such as Linear Regression, k-NN Classification, and K-Means Clustering.