Authored by Ali Wasti, Managing Director and Jeff Chang, Analyst, Hewlett Packard Pathfinder
To read about Pathfinder's recent investment in Arcion, click here.
Making decisions or taking actions based on data that is a day or even a few hours old is no longer sufficient for many businesses. Rather, modern enterprises, especially those leveraging hybrid and cloud architectures, require the latest data for informed decision-making. Real-time or near real-time data has become mission critical to many organizations’ operations across all verticals spanning from financial services to manufacturing to retail. Companies require real-time data for fraud detection, risk management, personalized recommendations, real-time pricing, and many more use cases. More recently, organizations are leveraging data for vector databases, a type of database for storing mathematical representations of features or attributes, and large language models (LLMs) as they incorporate Generative Artificial Intelligence (AI) into their businesses. The number of use cases for real-time data continues to grow as organizations adopt modern data architectures, leading more companies to rethink their data strategy so they can keep up with their competition.
Interest around AI and LLMs has surged, particularly for organizations where AI wasn’t previously top of mind. Companies are scrambling to incorporate the latest AI technologies into their products and businesses and building effective AI model starts with having an effective data strategy. Concurrently, the volume of data generated continues to grow exponentially. While new data tools attempt to keep up, extracting value from data in real-time remains a challenge for enterprises. This is especially true for enterprises with legacy data infrastructure and pipelines which result in stale, delayed insights that hinder their ability to act quickly. To thrive in an increasingly data-driven environment, businesses need to leverage the freshest data possible to meet the modern demand of customers.
Hewlett Packard Pathfinder believes organizations will continue moving from traditional batch processing to real-time data frameworks and strategies to run their businesses. Arcion has emerged as a significant player in this change of mindset, addressing the growing demand for modern, real-time data solutions. Arcion combines a highly scalable architecture to meet the demand of modern workloads with ease of use, ease of deployment, data mapping capabilities, and more.
Arcion is playing a critical role in Fortune 500 companies’ digital transformation efforts by enabling the real-time movement of data in hybrid and cloud architectures. It does this through a modern change data capture (CDC) solution that captures data modifications in real-time from transactional systems like databases and SaaS applications — replacing legacy batched processes. This data is then streamed into data lakes, warehouses, and other systems to power real-time analytics, machine learning, and operational workflows to drive real-time insights and power next generation applications.
Customers are using Arcion for hybrid and multi-cloud infrastructures, data replications and migrations, real-time analytics, and AI applications to power their businesses. These capabilities prove particularly valuable for many HPE Ezmeral Software enterprise customers seeking to maximize their on-prem transactional data assets with modern analytical and AI tools. Together with Arcion, HPE will enable its customers to have the ability to gain insights on disparate, valuable data sitting in traditional databases previously difficult to unify, let alone in real-time. We look forward to the opportunities ahead as the Arcion and HPE teams explore synergies between Arcion’s real-time CDC solution and HPE Ezmeral Data Fabric Software and HPE Ezmeral Unified Analytics Software. The joint offering can provide customers with an unparalleled solution for leveraging live data.
Pathfinder is excited to partner with Gary Hagmueller (CEO), Rajkumar Sen (Founder & CTO), and the rest of Arcion’s seasoned team as they enable the real-time data movement for modern workloads and next generation AI applications. The forward-thinking and solutions-oriented team at Arcion understands both the challenges faced and opportunities available to enterprises as data silos are broken down in an efficient and scalable way. Real-time data is already core to many aspects of how organizations operate. We believe this trend will continue to permeate across organizations as well as within and Arcion is in a key position to help organizations on their journey.
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