Stanislav Lukyanov is the Director of Product Management at GridGain Systems, a provider of enterprise-grade in-memory computing solutions based on Apache Ignite. A software engineer and architect, he helps to build the next generation of in-memory computing solutions to answer modern industry challenges.
Introduction Relational Database Management Systems (RDBMS) have dominated enterprise IT data infrastructure for decades, serving as the backbone for countless applications. Today, many applications still run on legacy RDBMS, which face significant challenges in meeting the demands of today's data-driven world. As enterprises increasingly require real-time analytics, artificial intelligence…
Our latest release, GridGain 9, is more than an upgrade – it’s a significant leap forward for our Unified Real-Time Data Platform. New capabilities include a more robust transaction management and consistency model for data; full support for SQL workloads; enhanced support for multiple data formats, models, and stores, including cloud data lakehouses; high-throughput data stream processing; and…
Today, we are thrilled to announce the release of GridGain Platform v8.9, adding new and enhanced integrations with popular data formats – including Apache Parquet, Apache Iceberg, CSV, and JSON – in order to enable more complete real-time analysis of your increasingly complex enterprise data. These enhancements make large volumes of enterprise data in data lakes and semi-structured document…
One of the most heavily used features in GridGain Nebula is the flexible dashboarding capabilities for monitoring cluster and node status. The drag-and-drop interface enables access to more than 200 metrics that are available in Apache Ignite or on the GridGain In-memory Computing Platform software running in data centers, private clouds, or the Nebula cloud.
Until now, there was no guidebook…
The Apache Ignite 3.0 Alpha 5 build recently became available. Here is an overview of the new features the community included in this release. Based on industry and use case, they may be of major interest to some developers while less relevant to others.
Pluggable Storage
Different use cases require different storage engines. Some storage engines are good for read-heavy operations, others…
I’ve created a checklist for new users of Apache® Ignite™ to help overcome common challenges I’ve seen people encounter when developing and configuring their first applications with an Ignite cluster. This checklist was put together from questions new users routinely ask the Apache Ignite community on the user and dev lists. If you are new to Apache Ignite, click here for a quick…