Rocket Software + Vertica^®: What This Acquisition Means for Enterprise AI and Modernization

Summary

Rocket Software’s addition of Vertica^® brings high-performance analytics and AI directly into mission-critical systems, marking an important step in its modernization strategy. More importantly, it enables a sovereign, AI-native data lakehouse approach where analytics and AI operate directly on trusted data, wherever it resides.  

By minimizing data movement and embedding intelligence into core environments, Rocket reduces architectural complexity while strengthening real-time insights and enabling scalable AI adoption.

Here is what the integration signals, and how it advances Rocket’s broader direction.

How Does Vertica Expand Rocket’s Analytics and AI Capabilities?

Rocket Software has completed its acquisition of Vertica, a recognized global leader in high-performance analytical databases built for modern enterprise AI.

Vertica is purpose-built for analytics and AI at scale, particularly in complex, data-intensive environments. Its columnar storage and massively parallel processing (MPP) architecture delivers high-performance analytics at petabyte scale, allowing enterprises to run complex queries and AI workloads directly where the data resides. Built-in analytics, AI, and machine learning capabilities further reduce the need for external processing, enabling faster, more efficient insight generation within governed environments.

Unlike traditional systems limited by scale, or SaaS-only platforms that require moving data, Vertica delivers high-performance analytics in place—combining enterprise control with cloud-like scalability.

With this addition, Rocket expands its ability to bring analytics and AI directly into the environments where mission-critical data lives.

This marks a shift from supporting modernization around core systems to enabling those systems to generate deeper insight and intelligence.

How Does This Improve Data Integration and Hybrid Analytics?

This move expands Rocket’s ability to deliver integrated analytics and AI across hybrid and mission-critical environments:

• Adds high-performance analytics and AI to mission-critical systems
• Brings more than 600 enterprise customers and deep analytics expertise  
• Strengthens integration with Rocket^® DataEdge^™ and Rocket^® ContentEdge^™
• Supports analytics across on-premises, cloud, and hybrid environments  

Rather than introducing another disconnected analytics platform, Rocket is embedding analytics and AI directly into the modernization process. By bringing these capabilities closer to the environments where mission-critical data already resides, the combined offering helps organizations reduce complexity, streamline workflows, and make enterprise data more actionable.

Which Industries Benefit from AI-Driven Modernization on Core Systems?

This capability strengthens Rocket's position with enterprise-scale organizations that operate in complex, data-intensive environments. Financial services and insurance companies, for example, need real-time insights for fraud detection, risk management, and regulatory compliance, yet often depend on mission-critical systems that cannot tolerate disruption.

Similar challenges exist across healthcare, telecommunications, and government, where organizations must balance modernization with security, governance, and operational stability. The same need for timely, data-driven decision-making is driving demand in industries such as retail, manufacturing, transportation, and energy.

By bringing analytics and AI closer to mission-critical data, Rocket can help organizations modernize while extracting greater value from the systems they already trust.

Why Are Enterprises Moving Analytics Closer to Core Systems?

Enterprise architectures are still largely split. Core systems run the business, while analytics and AI operate in separate environments.

That separation introduces friction, including data duplication, latency, higher costs, slower decision-making while also creating challenges for around governance and data sovereignty.  

Rocket is closing that gap by bringing analytics and AI directly into core systems and hybrid data environments. This reflects a broader shift toward a sovereign data lakehouse model, where data, analytics, and AI are unified within controlled environments.

Analytics can run closer to mission-critical data, reducing the need to move or replicate it across systems, lowering costs and complexity while improving performance. This approach also enhances data security and governance by keeping sensitive data within controlled environments. Additionally, it supports operational use cases where insights must be embedded directly into applications and workflows.  

The result is a simpler, more efficient architecture that is better aligned to support real-time insights and enterprise-scale AI.

How Does This Strengthen Mainframe and Hybrid Cloud Modernization?

This modernization strategy enables three meaningful shifts in Rocket’s portfolio:

1. Analytics is embedded within trusted data environments
   Rocket can now support advanced analytics and AI directly within operational environments, reducing reliance on external data platforms.
2.  A more unified data ecosystem 
   Vertica strengthens integration across Rocket’s data solutions, helping create a more connected and consistent data architecture.
3. A stronger foundation for AI 
   With analytics infrastructure embedded into core environments, Rocket provides a governed, high-performance foundation for scaling enterprise AI initiatives.  

Does This Approach Require Mainframe or System Replacement?

No, companies do not need to migrate or replace their systems. Vertica is open and flexible, designed to integrate seamlessly with existing systems without requiring immediate migration or changes to current environments. This aligns with Rocket’s broader strategy of preserving what works while extending and enhancing its value.

What is Rocket’s Strategy for Unified Data and AI?

Rocket is positioning itself as a single partner across modernization, data, analytics, and AI. This means delivering a more unified approach that connects data across environments, enables real-time analytics, and supports AI initiatives built on trusted data sources.

At the core of this strategy is a sovereign, AI-ready data foundation. By combining trusted data, advanced analytics, and in-database ML and AI capabilities, Rocket enables organizations to move beyond modernization as a technical upgrade and toward modernization as a driver of intelligence and continuous innovation.

What This Means for the Future of Modernization

This reflects a broader shift in how enterprise modernization is evolving. Upgrades and maintenance are not enough to keep systems running efficiently. Organizations must activate their data to remain competitive.

By adding Vertica, Rocket is strengthening its ability to connect core systems with analytics and AI in a more integrated way. The focus is on extending the value of existing environments while enabling new capabilities on top of them.  The result is a modernization model where stability, control, and innovation are not trade-offs, but integrated elements of a scalable, AI-ready foundation.

Unlock faster insights and see how Vertica brings analytics and AI to your core systems.