Data Lakehouse : CIOReview
CIOREVIEW >> August 1, 2025

For years, IT leaders have been promised the dream of a unified data lakehouse—one platform that combines the scalability of data lakes with the performance of data warehouses. But in reality, many still grapple with legacy systems, fragmented storage, sluggish queries, and governance challenges. What if a company could pull data from decades-old Hadoop systems and cutting-edge Iceberg tables into a single, real-time dashboard? Or ingest data into Iceberg at blistering speeds of up to 100 GB per second? That’s exactly what Starburst is making possible—and in doing so, it's redefining what a data lakehouse can be. “We’ve effectively blurred the lines between a data warehouse and a data lake,” says Matt Fuller, Starburst co-founder and VP of Product. “It’s no longer about choosing between speed and scale—you can have both.” Performance at scale with Trino and Iceberg At the core of Starburst’s breakthrough is its Icehouse architecture. This architecture pairs Trino—a powerful distributed query engine—with Apache Iceberg, an open table format purpose-built for massive datasets. Fuller puts it this way: “We built the platform around Trino, but that’s just the engine. We had to add the rest of the car—the security, the governance, the user experience. That’s what makes Starburst a platform, not just a query engine.”

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Starburst: Turning Data Into AI-Ready Insights

Innovation Award-Software Strategy & Optimization 2025

Every enterprise runs on software, but not all software drives the business forward. In today’s environment, traditional methods of managing software, spreadsheets, vendor self-reports, manual audits, just don’t keep up. By the time you’ve mapped your stack, approved new tools, and reconciled reports, the data’s already stale, blind spots remain, and costs are rising. Now imagine an AI-powered strategist embedded in your IT team. One that instantly understands every feature of every tool in your environment, matches those features to real business needs, and compares them to market alternatives. It spots overlaps, flags underused licenses, and even suggests better in-house options before your next meeting starts. That’s Samplify. The platform uses intelligent automation to rethink software optimization. Built on a precision-focused AI engine trained across thousands of platforms and licensing models, Samplify delivers consultant-grade recommendations at machine speed. As soon as a request comes in, it evaluates the ask, uncovers hidden value, and guides smarter decisions without spreadsheets or delays. Built for modern IT leaders, Samplify analyzes software usage, overlaps, and optimization opportunities with the speed of AI and the perspective of a seasoned consultant. But unlike traditional asset management tools, it’s simple to use and fast to deploy. “Most tools stop at cataloging. We go further by recommending, validating, and even helping initiate the change to assist businesses in making wiser software choices. The difference is simple: SAM tools tell you what you have. We tell you what you need,” says James Layfield, CSO. What Powers Samplify At its core is an AI engine trained to analyze thousands of platforms by use case, features, and licensing terms. It cross-references this intelligence with your actual environment to find redundancies, underused tools, and better-fit options, often ones you already own.

Top Digital Transformation Solutions Provider 2025

For many enterprises, the path from digital ambition to operational reality is often slowed by outdated systems, fragmented data, and organizational silos. Resolve Tech Solutions (RTS) bridges this gap by helping companies modernize infrastructure, streamline operations, and scale AI transformation from pilot to production. With over 15 years of experience across SAP, cloud, and enterprise IT, RTS supports organizations across every phase of transformation, from assessment and migration to intelligent automation and performance optimization. Whether modernizing ERP systems or embedding generative AI, RTS ensures execution with speed, precision, and measurable results. Its enterprise-ready approach is backed by parallel workstreams across innovation and implementation, supporting the entire journey from proof of concept (POC) to AI operationalization. A key innovation driver within RTS is Juno Labs, its AI professional services and product division. Juno Labs offers a full suite of platforms that enable businesses to rapidly deploy intelligent solutions. “We don’t just build tools—we enable organizations to innovate intelligently and operationalize AI at scale,” says Abhishek Reddy, director of AI strategy at Juno Labs. “We embed AI responsibly and help enterprises turn innovation into real-world operational excellence.” RTS’s AI-driven digitization model begins with strategy and ends with fully operational systems. It blends advisory services with custom implementations and enterprise-grade software. Rather than stacking disconnected tools, RTS creates scalable digital foundations that support long-term business outcomes. Transformation, for the company, is a defined process rooted in use cases, measurable results, and intelligent orchestration.

Top Enterprise-Grade Web Data Platform 2025

From large enterprises to government organizations, access to trusted web data is critical for making timely and informed decisions. However, capturing that data reliably at scale, while staying within legal and ethical boundaries, is no small feat. Constantly evolving websites, from content and functionality changes to anti-bot defenses, are designed to thwart even the most advanced web scraping tools. Keeping data pipelines running smoothly that deal with these ever-changing issues is a challenge most organizations struggle to stay on top of. Sequentum addresses these challenges head-on, offering not just large-scale data extraction and automation, but a complete system with end-to-end transparency, governability, enterprise-grade security and web data operations. Sequentum stands apart from conventional web scraping solutions by integrating best practices for large-scale automation and data quality into a cohesive, enterprise-grade platform with the deepest levels of customizability and full transparency into every interaction with clients’ data. It manages evolving requirements and multimodal data ingestion processes with an intuitive point-and-click interface, enabling organizations to build complex, compliant data pipelines that adapt seamlessly to changing site structures, anti-bot defenses and comply with all the latest regulatory requirements. Trusted by financial institutions, from quantitative hedge funds, to any investor using data to find a competitive advantage, to commercial enterprises from automotive to retail as well as government agencies, Sequentum’s core technology delivers the highest-quality, most precise data via On-Prem (Enterprise Data Platform), DaaS (Managed Data Services), PaaS (Sequentum Cloud), or a hybrid solution and also powers the Intelligent Agents, such as Risk Alerts. Its best-in-class technology empowers their clients in critical use cases such as live pricing intelligence, risk monitoring, market sentiment and sensitive regulatory research—without compromising the reliability of the data.

IN FOCUS

AI-Driven Innovations: Enhancing Software Efficiency and Effectiveness

AI fundamentally reshapes how organizations develop, deploy, and maintain software. What was once a linear, manual, and time-intensive process has evolved into a data-driven and intelligent innovation system thanks to AI-powered tools and frameworks. In software strategy and optimization, AI plays a transformative role in accelerating development cycles and enhancing code quality, predicting system failures, and enabling autonomous optimization. The market for AI-driven software innovation continues to expand rapidly, especially as organizations embrace digital transformation, demand continuous delivery, and operate under growing competitive and operational pressures.

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Unlocking Data Potential: Exploring the Benefits of Lakehouse Platforms

The exponential growth of enterprise data has brought new complexities in managing, storing, and analyzing information across multiple sources. As businesses need faster insights and greater flexibility, traditional architectures such as data lakes and warehouses reveal their limitations. The emergence of the data lakehouse platform represents a strategic leap in solving these challenges by merging the strengths of both systems. This innovative architecture delivers the scalability and cost-effectiveness of data lakes with the structured, high-performance capabilities of data warehouses, forming a unified foundation for modern analytics. By offering a streamlined approach to data management, lakehouse platforms transform how organizations harness data for competitive advantage, drive progress across industries, and unlock new possibilities for collaboration, innovation, and efficiency.

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EDITORIAL

Reimagining Business Operations in the Data-Powered Era

Enterprises have long envisioned a unified digital foundation where data, software and operations seamlessly enable real-time decisions and unlock innovation. In this edition of CIOReview, we’ll explore how this vision is materializing as key components of the IT stack, evolving from fragmented tools into intelligent, integrated platforms.

Data lakehouse platforms have undergone a critical transformation. Once a promise that fell short due to legacy systems and performance issues, modern lakehouses blend the scalability of data lakes with the speed and governance of data warehouses. Modern implementations enable unified storage, faster queries and secure data access at scale, helping organizations overcome silos and leverage data more strategically.

In parallel, enterprise-grade web data platforms are redefining how businesses collect and manage online data. Automating extraction at scale is no longer enough. Organizations demand end-to-end transparency, auditability and compliance. These platforms provide operational control, enterprise-grade security and visibility across web data pipelines, ensuring quality and trust as data moves from source to insight.

Software strategy and optimization have shifted from manual spreadsheets and vendor self-reports to AI-driven platforms that act as embedded strategists. These tools instantly map software capabilities to real-world business needs, flag overlaps, identify underused licenses and recommend market alternatives or in-house solutions. What once required weeks of audits is now automated, actionable and continuous.

At a higher level, enterprises are accelerating end-to-end digital transformation—not just with new tools but also by upgrading infrastructure, streamlining operations and deploying AI at scale. Providers who prioritize interoperability, governance and intelligence across every layer of the stack are fast-tracking the journey from digital ambition to operational reality.

Together, these innovations mark a shift from managing complexity to mastering it. By connecting platforms, embedding intelligence and enabling proactive decision-making, today’s IT leaders are turning fragmented ecosystems into high-performing transformation engines.

We hope this edition of CIOReview helps you find the right partner for your business requirements.

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