The acquisition of Taikun by Cloudera aims to make it easier for organizations to deploy data and AI workloads in hybrid and multicloud environments, with a unified user experience across all IT environments.
Cloudera has announced that it is acquiring Taikun, a platform for managing Kubernetes and cloud infrastructure. Taikun’s technology will be integrated into Cloudera’s existing data platform. The company aims to give organizations more control over their data infrastructure, regardless of its location: in the public cloud, in their own data center, or in highly secure environments.
Unified management layer
With the integration of Taikun, Cloudera aims to offer a unified management layer across different infrastructures. This layer enables upgrades without downtime and ensures more efficient resource usage.
Taikun also supports environments subject to strict regulations, such as GovCloud or air-gapped data centers. According to Cloudera, this helps organizations respond more quickly to AI needs and leverage real-time insights.
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“This acquisition marks a crucial step in our mission to bring the cloud experience wherever business data is”, said Charles Sansbury, CEO of Cloudera. “By integrating Taikun’s container-native platform into our stack, we remove operational barriers and enable customers to gain insights faster, make smarter decisions, and take real-time action in every part of their business.”
New European development hub
In addition to the technological integration, Cloudera is also gaining a new development team. Taikun’s engineering team is joining Cloudera’s technical departments. Moreover, Taikun’s location in the Czech Republic is being transformed into a European development hub, emphasizing Cloudera’s focus on regional expansion.
The acquisition of Taikun is the third strategic acquisition in just over a year. Previously, Cloudera acquired Verta’s operational AI platform, followed by the purchase of Octopai, specializing in data lineage and cataloging. This series of acquisitions aligns with Cloudera’s strategy to expand its platform with technology that simplifies the flexible management of data and AI workloads, regardless of where the data resides.