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Cloudera acquires Taikun to expand cloud data capabilities for AI

Cloudera acquires Taikun to expand its data and AI platform, enabling hybrid and multi-cloud deployment across all enterprise environments.

Cloudera has announced the acquisition of Taikun, a Czech-based platform provider specialising in Kubernetes and cloud infrastructure management across hybrid and multi-cloud environments. The deal is part of Cloudera’s ongoing strategy to deliver a unified cloud experience across all environments, including public cloud, on-premises data centres, and air-gapped or sovereign systems.

This marks Cloudera’s third acquisition in just over a year, following the purchases of Verta in May 2024 and Octopai in November 2024. With the addition of Taikun’s technology and team, Cloudera aims to enhance its core platform by simplifying deployment and operations across distributed IT environments, while giving enterprises more control over their data.

Strengthening platform capabilities for hybrid and multi-cloud

As AI workloads and enterprise systems grow increasingly complex, Cloudera is moving to eliminate operational silos and fragmented data management. The integration of Taikun’s Kubernetes-native capabilities provides Cloudera with a consistent compute layer that spans cloud, on-premise, and hybrid deployments.

This gives customers the flexibility to run data and AI workloads wherever needed, whether in highly regulated environments such as GovCloud and Sovereign Cloud, or in remote and air-gapped data centres. The platform also supports seamless upgrades, improved resource usage, and lower total cost of ownership.

Charles Sansbury, CEO of Cloudera, said, “This acquisition marks a pivotal step in our mission to bring the cloud experience wherever enterprise data resides. By integrating Taikun’s container-native platform in our stack, we are removing operational barriers and enabling our customers to unlock faster insights, make smarter decisions, and drive real-time action in every corner of their business.”

Boosting customer flexibility and long-term value

The acquisition is expected to accelerate the adoption of Cloudera’s products and partner technologies. Customers can follow a “bring your own engine” approach, incorporating a wide range of tools and databases – including Spark, Kafka, HBase, Trino and others – alongside third-party systems. This flexibility ensures that businesses can continue evolving their IT strategies without being locked into a single approach.

Adam Skotnicky, former CEO of Taikun, said, “Our advanced cloud-native computing platform will enable customers from across the globe to deliver and deploy services and applications seamlessly, whether that’s in the data centre or in multi-cloud environments. Only Cloudera is the right organisation for us to join during this critical moment for data and AI.”

The move also expands Cloudera’s footprint in Europe, with Taikun’s engineering team joining Cloudera’s Engineering, Product, and Support organisation. The Czech Republic will now serve as a new development hub for the company in the region.

Supporting AI initiatives across all environments

Industry experts see this deal as an important step in addressing the growing complexity that organisations face when managing data and AI across disparate systems. Sanjeev Mohan, Principal at SanjMo, noted, “Organisations are suffering more than ever from fragmented data and application management across diverse infrastructures, increasing complexity, costs, and limiting data/AI initiatives. With Cloudera’s acquisition of Taikun and integration in Cloudera’s platform, organisations can now run AI and analytics anywhere their data lives — from cloud to edge — accelerating insights, empowering smarter choices, and driving real-time responses throughout their organisation.”

With this acquisition, Cloudera reinforces its commitment to supporting AI and data strategies without limiting where or how workloads are deployed. By investing in technologies like Taikun, Verta, and Octopai, Cloudera continues to offer an adaptable, full-stack data platform built for modern enterprise demands.

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