Analyst(s): Brad Shimmin
Publication Date: September 26, 2025
At its EVOLVE25 conference, Cloudera directly challenged the punishing economics of public cloud AI. Underpinned by its strategic Taikun acquisition, the company demonstrated its hybrid multi-cloud fabric that seizes control of the Kubernetes orchestration layer to deliver a single, consistent platform across any on-premises or public cloud environment.
What is Covered in this Article:
- Cloudera announced its “Era of Convergence” strategy, driven by integrating the Taikun Kubernetes platform to unify its public and private cloud offerings.
- The company introduced the Hybrid Multi-Cloud Fabric, a single reference architecture designed to run identical software across public cloud and on-premises data centers.
- Cloudera detailed its strategic focus on Private AI, highlighting the economic benefits and security advantages of running AI workloads on-premises.
- Platform improvements were discussed. The new architecture is designed to reduce deployment times from an average of 60 days to under one hour.
- Cloudera emphasized the vibrance of its enterprise AI ecosystem by spotlighting key partners, including ServiceNow, Fundamental, Pulse, and Galileo.ai.
The News: At its EVOLVE25 event in New York, Cloudera declared an “Era of Convergence,” unveiling a strategy to unify the disparate worlds of on-premises data centers and public clouds into a cohesive “Anywhere Cloud.” This vision is powered by integrating the Taikun Kubernetes platform, which provides an abstraction and orchestration layer allowing Cloudera’s data services to run identically across all environments. CTO Sergio Gago, who joined Cloudera in May of this year, succinctly summarized the company’s viewpoint: “We’re not going to talk about public cloud versus private cloud anymore. It’s just the cloud experience.”
This architectural shift underpins Cloudera’s focus on Private AI, which calls for allowing enterprises to train and run models on their data wherever it resides without costly and insecure data movement. To this end, the company introduced and demonstrated several capabilities during the show that support this strategy, including the Cloudera Iceberg REST Catalog for zero-copy data sharing with engines like Snowflake and Databricks, and the Cloudera Lakehouse Optimizer for automated table maintenance. The company also announced the certification of Dell ObjectScale as an S3-compatible object store, strengthening its “AI-in-a-Box” offering with Dell and NVIDIA.
Finally, Cloudera strengthened its enterprise AI ecosystem with several showings from strategic partners, including ServiceNow for workflow automation, Fundamental for tabular data foundation models, Pulse for unstructured document processing, and Galileo.ai for AI model observability and governance.
Cloudera EVOLVE25: While the Market Chased Cloud-Native Deployments, Cloudera Built the Hybrid Endgame
Analyst Take: Cloudera’s EVOLVE25 event functions as much more than a product roadmap update. The show played out as a defiant declaration of architectural independence, a bet that the enterprise market is waking up with a massive cloud cost hangover. By doubling down on what it terms as an actual hybrid multi-cloud fabric, Cloudera hopes to directly address a market reality that its cloud-native rivals have chosen to ignore, and in so doing, validate its foundational — and continuing — key role within many of the world’s largest, complex, and regulated organizations.
Taking Ownership of the Orchestration Layer
For years, Cloudera’s cloud story was all about playing catch-up. As executives admitted, the company “only lifted” its platform to the cloud, leading to rising costs and management chaos because “every universe was completely different.” Without a true abstraction layer, its customers were held hostage by the constant compatibility breakages caused by weekly updates in underlying hyperscaler infrastructure like Amazon EKS or Red Hat OpenShift.
During EVOLVE25, the acquisition and integration of Taikun took center stage and should be seen as the company’s most significant move in the last five years. By seizing control of its own containerization destiny, Cloudera can vertically integrate the stack to create a single reference architecture that runs the same software regardless of whether the substrate is a virtual private cloud (VPC) on AWS, Azure, or running as bare metal in a private data center. This isn’t just a technical achievement; it’s a foundational capability that gives Cloudera the chance to deliver differentiated performance (owing to the vertical integration of this stack) while also delivering on the oft-promised but rarely delivered idea of “write once, deploy anywhere” hybrid cloud software.
Chasing a New Economic Reality: Private AI and Predictable Costs
Cloudera’s pivot to a hybrid multi-cloud fabric can be seen as fundamentally an economic argument. The AI boom has laid bare the punishing economics of public cloud infrastructure for sustained, high-compute workloads. As several speakers noted during the show, cloud is becoming a luxury item, appropriate for some workloads, but it is not a foundational piece suitable for every workload.
Cloudera’s Private AI strategy tries to attack this problem head-on. The pitch is this: use all your data, wherever it lives, without paying exorbitant egress fees or duplicating it into a separate cloud repository. For compute-intensive tasks like inference, Cloudera contends that after an initial hardware investment, the marginal cost of incremental workloads on a private cloud tends towards zero. This starkly contrasts the exponential consumption credit model of public cloud providers. For CFOs at multinational banks and manufacturers staring down eight-figure cloud bills, this promise of predictable economics combined with the ironclad security and data sovereignty of a hybrid model should make for an incredibly compelling proposition.
Usability Is the New Enterprise Mandate
A reputation for complexity has historically burdened Cloudera; as one speaker candidly put it, “usability has never been Cloudera’s forte.” Indeed, this reputation remains tied to the company’s longstanding history as a pioneer in building “Big Data” solutions on Hadoop. The containerized architecture Cloudera is now building on top of Taikun; however, it seeks to address this legacy. The promise is to take a customer from bare metal to running a first job in less than one hour. This sounds simple, but it can be a game-changer for administration-weary customers.
Cloudera is also focusing its efforts on the user experience itself, taking to the stage at several points during EVOLVE25 to promote forthcoming enhancements that aim at reducing the necessary steps for tasks (that is, if a competitor takes two clicks, Cloudera shouldn’t take nine). The company’s new AI Agent Studio stands as a proof point here, as it provides a low-code, no-code way for users (e.g., data practitioners) to design analytic and agentic systems using a simple drag-and-drop interface. Of course, many tools like this exist in the market (n8n, Replit, etc.). However, the value proposition for Cloudera is that its tooling puts the entire Cloudera data estate into the hands of data practitioners.
The Hybrid Multi-Cloud Fabric Is the Endgame
Even if Cloudera is replicating work done by broader agentic AI platform players, Futurum feels these changes will significantly help the company neutralize perceived adoption barriers, such as solution complexity, and help align the Cloudera platform with modern enterprise expectations for speed.
Cloudera has spent the time and capital to build the unified control plane that its Global 2000 customers have been demanding. The challenge now is one of perception. The company rightly views itself as a “well-kept secret,” despite being so critical that if its platform goes down, major institutions “cannot transact business.” The opportunity is massive, and Futurum believes that for the first time in years, the company has a story that is both technically sound and economically essential and compelling.
What to Watch:
- Cloudera executives acknowledge they struggle against the marketing might of heavily funded rivals. They must find targeted, potent ways to translate their technical superiority and TCO advantage into a message that resonates in both the boardroom and the data center.
- The promised leap from a 60-day deployment to under an hour is a powerful claim. Consistent, successful execution across its customer base’s complex and unique “accidental architectures” is non-negotiable to build market trust in this new platform.
- While focusing on AWS, Azure, and GCP is logical, the deprioritization of other platforms like OCI was noticeable. To fully deliver on the “Anywhere Cloud” promise of a ubiquitous hybrid multi-cloud fabric, Cloudera must work to offer seamless support across all major cloud providers.
See the complete press release on the Era of Convergence announced at EVOLVE25 on the Cloudera website.
Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum as a whole.
Other insights from Futurum:
AWS Summit New York City: AWS Forges the Enterprise-grade Pipeline for Agentic AI
Oracle and AWS Deliver Multicloud Synergies With Oracle Database@AWS Rollout
From Data Chaos to AI Clarity: Activating AI Through High-Quality Enterprise Data
Image Credit: Cloudera
Author Information
Brad Shimmin is Vice President and Practice Lead, Data Intelligence, Analytics, & Infrastructure at Futurum. He provides strategic direction and market analysis to help organizations maximize their investments in data and analytics. Currently, Brad is focused on helping companies establish an AI-first data strategy.
With over 30 years of experience in enterprise IT and emerging technologies, Brad is a distinguished thought leader specializing in data, analytics, artificial intelligence, and enterprise software development. Consulting with Fortune 100 vendors, Brad specializes in industry thought leadership, worldwide market analysis, client development, and strategic advisory services.
Brad earned his Bachelor of Arts from Utah State University, where he graduated Magna Cum Laude. Brad lives in Longmeadow, MA, with his beautiful wife and far too many LEGO sets.
