CIO Bulletin

GridGain: Real-Time, Scalable Data Platforms for Modern Enterprises

To enable balanced decision making and improvement of business growth, it is essential for an enterprise to be speed and scalable enough in this data-driven age. It is the leader in real-time data processing and has stood tall among competitors by synergizing all possible dimensions of it into a Unified Real-Time Data Platform. This helps business organizations to use ultra-low latencies while supporting their huge scale data work-loads. But what is the company that is out of the pack of big data companies?

Memory-First, Distributed Architecture

GridGain is mostly memory-first and relies heavily on limited disk I/O for ultra-low latencies achieved for transactional, streaming, and analytical processing. All processing occurs in memory where at maximum efficiency, data are processed directly in memory rather than going through an indirect path with disk storage, which works slower to retrieve data. This allows for massive scalability.

GridGain also provides co-located compute, meaning that data processing and compute operations are done in the same memory space, not requiring moving it over a network. The co-location eliminates latency and supports high-speed parallel integration of data processing.

What Makes Enterprises Trust GridGain?

Flexibility is the essential thing today when all businesses have adopted either a hybrid cloud or multi-cloud environment. GridGain lives the most excellent cloud-agnostic capabilities available. Whether on public cloud infrastructures, hybrid cloud systems, or on-premises data centers, GridGain ensures that businesses can scale as they possibly need. Its cross-cloud deployment capability allows further integration with a variety of infrastructures.

This also means that the company uses GridGain because of its capabilities for real-time analytics that is, processing of historical data-at-rest and streaming data-in-motion. Together they enable the enterprises to generate insights in real-time, which is very important for some industries like financial services, e-commerce, and health care, as timely decision-making in these cases might have a very different outcome.

Disrupting Industries with Real Time Data

GridGain’s platform brings speed, efficiency, and scalability across multiple industries in pursuit of high operational performance. Example; where it enables Real Time Risk Management in finance with complex modelling that can be done on live data on-the-fly to immediately monitor risks. In retail and online services, GridGain enables Smart Decision through streaming transaction data for dynamic pricing and personalization recommendations. This technology also enables High-Performance OLTP systems with low-latency and high-throughput for e-commerce and gaming. Finally, companies can set up Low-Latency Data Hub consolidating data across different systems for real-time and analytical insights across industries.

Seamless Scaling of Data Operations

The distributed processing model of GridGain enables enterprises to then horizontally scale their infrastructure, distributing workloads over a cluster of machines. Such scalability causes GridGain to remain able to absorb the demands of both transactional processing and analytic workloads as data grows exponentially. Organizations, therefore, can implement GridGain, whether it is on-premises hardware or infrastructure in the cloud, to have high availability, durability, and structured data consistency.

GridGain and AI and ML Technology Integration

With every major function of today's new business taking into use artificial intelligence and machine learning technologies, a highly dedicated integration from GridGain is available and will enable continual training of machine-learning models with real-time transactional data to support the immediacy in the deployment of newly trained models to process incoming transactions immediately.

Improving customer experience, optimizing supply chain operations, and advancing predictive analytics are some examples of how GridGain enables using AI and ML in decision-making in an intelligent and faster way.

Trusted by Leading Enterprises across the Globe

GridGain is used by several of the leading international corporations-from various fields such as financial services and healthcare, e-commerce and transportation, as well as telecommunications-to build real-time, distributed, and scalable architecture. They leverage GridGain for solving critical business tasks around their data architecture. With its speed and scalability and the fact that it is capable of handling real-time and business workloads concurrently, GridGain has become one of the major partners of the digital transformation journeys that companies are following around the globe.

Enterprise-Grade Consulting and Support

Implementing a solution of this proportion requires expertise, and GridGain has robust offerings designed to assist organizations to realize the highest value from their platform. These services range from consulting and training to an expert-on-call service and not only enable businesses to implement GridGain in their existing infrastructure and operation but also ensure that unique solutions for each customer's needs are customized. The engineers behind GridGain are the same experts who created Apache Ignite, meaning companies get their hands on industry-leading knowledge and resources.

GridGain's Role in the Future of Data Processing

Moving into an era where strategic decision making by companies will be increasingly dependent on data, GridGain will be at the point of development to stand out as the go-to technology for enterprises that need their data ecosystem to be speed, scale, and highly available. Whether processing streaming data in real-time or executing advanced analytics, GridGain has the ability to democratize insights into ultra-low latencies as compared to conventional data platforms.

GridGain provides businesses with the common high-performing solution in these competitive times that simplifies complex data architectures and accelerates innovation. Given the combination of real-time data processing, distributed computing, and cloud-agnostic deployments, it will remain critical in the deriving of maximum value from data by enterprises.

About the Leader

Eoin O’Connor, President & Chief Executive Officer of GridGain, is leading the company’s efforts to drive continued rapid growth, broaden the customer base, and enhance its distributed in-memory computing product offerings. Eoin joined GridGain in 2016 as chief financial officer and was appointed to his current position in 2022. In his previous roles at GridGain, he was responsible for finance & accounting, sales operations, legal, human resources, corporate compliance and IT.

Prior to joining GridGain, Eoin was an executive at a number of public companies, including Oracle and Siebel. He began his career at KPMG, specializing in initial public offerings and audits of hi-tech public companies. He then spent many years in leadership roles across both finance and operations. More recently, at ON24 and Space Time Insight, he was instrumental in managing fast revenue growth in a very short time span. Eoin has facilitated multiple venture capital funding transactions for GridGain and other growth-stage companies.

Eoin holds a Bachelor of Commerce from University College Cork, Ireland, and is a Fellow of the Institute of Chartered Accountants. He is an avid golfer and enjoys attending concerts.