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Chetu Recognized by ISG as a Databricks Ecosystem Partner: Driving Data Modernization & Scalable AI

RICK HEICKSEN - Director of Sales | May 12, 2026

Key Takeaways:
  • ISG Recognition: Chetu strengthens its credibility in data and AI solutions through its expertise in delivering scalable, high-performance Databricks-based services.
  • Data & AI Expertise: Enables data modernization, unified analytics, and scalable AI using the Databricks platform.
  • Enterprise Impact: Helps businesses transform fragmented data into intelligent, high-performance, and insight-driven systems.

Chetu is now recognized in the Databricks Ecosystem 2026 Global Study by Information Services Group, strengthening its position as a trusted provider of Databricks-based data and AI solutions. This highlights Chetu’s expertise in data modernization, unified analytics, and scalable AI, delivering innovative, enterprise-ready, data-driven solutions.

Optimization-Services

Strengthening the Databricks Partner Ecosystem

Having been included in the Databricks Ecosystem 2026 Global study confirms that Chetu is well experienced in the process of using the datasets, unified data, and artificial intelligence platforms. provided by Databricks. The capabilities of the Databricks ecosystem are that it can combine data engineering, analytics, and AI into a unified environment.

Industry reports indicate that more than 80 percent of the enterprise data is unstructured, and therefore a significant challenge is integrating and accessing the data. The need to eliminate these barriers is guaranteed by Chetu as a Databricks partner, which enables organizations to achieve smooth integrations and scalable systems.

Chetu, being a reliable Databricks partner on AI and data modernization, can help enterprises speed up innovation and streamline complex data environments.

Accelerating Data Modernization for Enterprises

The possibility to assist companies in moving off the legacy systems to the new architectures is one of the main strengths of Chetu as a partner of Databricks in data modernization. A lot of businesses continue to use outdated systems that hinder scalability and reduce speed to innovate.

Chetu enables seamless migration to modern data ecosystems, including data lakehouse architectures such as Databricks. These architectures unify structured and unstructured data while supporting advanced analytics and AI/ML workloads within a governed, secure, and high-performance environment.

Modernization is essential because the global data is increasingly expanding at a rate never seen before. The overall amount of data being generated all over the world is estimated to exceed 220 zettabytes by 2026, so organizations need to implement scalable and efficient data management schemes.

Chetu will assist companies to be at exponential growth and simultaneously offer enterprise-level applications that are strongly data-governed, secure, and scalable.

AI & ML Enablement at Scale

Chetu is an enterprise AI partner with Databricks that enables organizations to apply machine learning and AI initiatives throughout the enterprise. The use of AI is gaining pace, with reports indicating that more than three-quarters of companies are investing in AI to enhance decision-making and efficiency.

Scalable AI Databricks consulting services by Chetu help companies to convert raw data into actionable insights. With the help of Databricks, companies can implement predictive analytics, automate processes, and use cases of generative AI.

This is where it would be vital to collaborate with a Databricks lakehouse and AI solutions provider. AI-based automation can reduce time-to-insight by up to 60% and enhance operational efficiency in enterprises by a considerable margin.

Unified Data, Analytics, and AI

Fragmented data systems are a significant problem for the business of today. Chetu can solve this by allowing organizations to use the Databricks unified data and AI platform, integrated data, analytics, and AI within a single ecosystem.

Removing data silos will enable businesses to obtain real-time information and make decisions more quickly. Research has revealed that companies that have integrated data platforms are twice as likely to make quicker and more precise choices.

Chetu being a Databricks partner means that the businesses will be able to make the most out of the unified approach and answer the question: Is Databricks the optimal unified data and AI platform? In the case of many enterprises, this is the solution, as it provides scalability, flexibility, and performance all in one solution.

The Bottom Line: Enabling the Future of Data and AI

Strong Data Governance & Security

In the current digital environment, data governance and security are imperative. The experience of Chetu in Databricks governance and security solutions means that companies can have control over their data and comply with regulatory policies.

Recent research indicates that more than two-thirds of organizations mention data governance as a significant obstacle to digital transformation. Chetu, being recognized by ISG in the Databricks Ecosystem 2026 Global Study, is responding to this challenge by putting in place strong governance structures throughout the data life cycle.

These frameworks ensure:

Excellent data quality and consistency.

Secure access controls

Adherence to regulations in the industry.

This is the tier of governance that organizations that are implementing AI on a large scale need to make sure that the insights provided are reliable and secure.

End-to-End Databricks Implementation & Optimization

Chetu offers complete implementation services of Databricks, which includes a full lifecycle solution, from strategy to execution. This involves consulting, architectural design, deployment, and continuous optimization.

For businesses interested in enterprise Databricks implementation by Chetu, this end-to-end solution will guarantee smooth adoption and success in the long term. Companies that invest in streamlined data solutions typically achieve 30-40% efficiency gains in their operations.

Through End-to-End Implementation & Optimization, Chetu will make sure that the business gets the most out of their investments in Databricks without compromising on scalability and performance.

Driving Business Outcomes with Scalable AI

In essence, the strategy of Chetu is aimed at Delivering Business Results through Scalable AI. Being one of the Chetu Databricks partners, the company aligns technology solutions with the business objectives to provide measurable outcomes.

Companies that use AI-based data platforms report:

Automation may reduce costs up to 20-30%.

Faster decision-making cycles

Improved customer experiences

The advantages of collaborating with ISG in Databricks implementation are more than implementation. They encompass the availability of established expertise, scalable solutions, and the capability to convert data into actual business value.

The Bottom Line: Enabling the Future of Data and AI

This recognition in the Databricks Ecosystem 2026 Global Study by ISG marks a significant step toward Chetu delivering superior data and AI solutions.

Being a Databricks ecosystem partner, Chetu assists companies with modernizing data, empowering AI, and ensuring good governance.

Having experience in AI and data modernization, Chetu reintegrates disaggregated systems into cohesive, smart data ecosystems—innovating, scaling, and delivering quantifiable business value.

Disclaimer:

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About Chetu:

Founded in 2000, Chetu empowers businesses with AI and digital transformation solutions, supporting startups, SMBs, and Fortune 5000 companies. We deliver end-to-end software solutions backed by global digital intelligence and industry expertise. Our customized software delivery model and one-stop-shop approach span the full technology spectrum. Headquartered in Sunrise, Florida, Chetu operates 13 locations across the U.S., Europe, and Asia.

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“Chetu’s sweet spot is its outcome- and execution-centric Databricks solutions. It focuses on business problems, maps SLAs, compliance requirements, latency, cost and risk to workloads and chooses Databricks where it best fits the workload profile ”
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