Why EazyDI Over Legacy and Point-and-Click Solutions

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Why EazyDI Over Legacy and Point-and-Click Solutions

Unlocking Trusted, AI-Ready Data in the Age of Cloud and AI

In today’s economy, data is no longer just an asset, it is the operating system of business. Organizations across industries increasingly rely on data not only to drive reporting, but also to automate decision-making, power AI models, and unlock entirely new business models. Yet obtaining trusted, timely, and actionable data remains one of the most pressing challenges. This white paper explores why legacy platforms and fragmented point-and-click solutions are falling short, and why EazyDI is uniquely positioned to meet the needs of modern enterprises.

The Problem with Legacy Data Platforms

Legacy platforms such as Informatica PowerCenter, IBM DataStage, and Ab Initio were designed for a pre-cloud, pre-AI world. Today, their limitations are increasingly visible: not cloud-native, built for IT rather than business users, resistant to integration with open- source technologies, and burdened with high costs and complexity.

Comparison: Legacy ETL vs.Modern Cloud-Native Platforms

Legacy ETL Platforms	Modern Cloud-Native Platforms
On-premises, heavy infrastructure	Cloud-native, elastic scaling
Complex, IT-only usage	Accessible for IT + business users
Slow integration with open-source (Python, dbt)	Seamless integration with Python, SQL, dbt
High license and maintenance costs	Lower TCO, subscription-based

The Limitations of Point-and-Click Business Tools

To bypass IT bottlenecks, many organizations have adopted point-and-click solutions. Whilethey provide quick wins, they create data silos, lack governance, and cannot guarantee data trust or extensibility. This results in a patchwork of disconnected tools, leaving organizations without a unified data foundation.

Risks of Point-and-Click Tools:

Enter EazyDI: Built for the Cloud, Built for AI, Built for Everyone

EazyDI was designed from the ground up to solve these challenges. Unlike legacy systems retrofitted for the cloud—or point tools lacking depth—EazyDI offers an end-to-end cloud-native platform for data integration, data quality, and AI readiness. It provides flexibility for
IT teams to use Python, SQL, and dbt, while empowering business users with simple, no-code interfaces and all within a secure, SOC 2-compliant environment.

Key Advantages of EazyDI

Capability	EazyDI Advantage
Cloud-Native	Fully SaaS or deployable in VPC; SOC 2 secure
Integration + Quality + AI	One platform for pipelines, trust scores, and AI insights
Designed for All Users	IT can use Python/dbt; business users can go no-code
Ecosystem Flexibility	Works with Snowflake, Databricks, AWS, dbt, and more

Why Now: The Urgency of Trusted, AI-Ready Data

The acceleration of AI adoption makes trusted data pipelines more urgent than ever. By 2027, over 60% of organizations will rely on generative AI to drive insights and operations. Without high-quality, governed data, AI outputs risk being inaccurate or harmful. Legacy and point solutions cannot meet these requirements, well EazyDI can.

Conclusion: Choose EazyDI, Unlock the Future

Organizations no longer need to choose between clunky legacy platforms and fragmented point solutions. With EazyDI, IT and business teams gain a unified platform that is cloud- native, trusted, flexible, and ready for the AI-driven future. EazyDI isn’t just another tool, it’s the foundation for trusted, AI-powered business.