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.
Stanislav Lukyanov
Position:
Director of Product Management, GridGain
Bio:
Bio:
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.
We’re excited to introduce GridGain 9.1 with powerful new capabilities for hybrid transactional and analytical processing. These features enable teams to run real-time analytics on live operational data – without impacting transactional performance.Traditionally, organizations had to choose between systems optimized for transactions (OLTP) and those tuned for analytics (OLAP). Maintaining…
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.Installation and Management of Ignite 3Apache Ignite 3.0 simplifies the installation and management process, making it more accessible for developers and…
IntroductionAI adoption demands a scalable, high-performance data infrastructure that is able to tap into all relevant data at ultra-low latencies. While offline models use batch data lakes, online AI systems require real-time data access for tasks like feature serving, predictions, and retrieval-augmented generation (RAG). This often leads to complex architectures with multiple data stores.…
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…
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…