The Cloudera Partner Network is designed to empower a broad ecosystem of technology providers, system integrators, resellers, and service partners to build, sell, and deliver modern data and AI solutions across hybrid environments. The programme organises partners into key categories, each aligned to distinct go-to-market motions and industry engagement models says Ahmed Tayeh at Cloudera.
The core challenge for CIOs is the struggle to move AI ambitions into measurable, secure, and scalable reality. Enterprises are realising that generic AI services are ideal for simple experimentation, but not for advanced enterprise needs due to profound governance and control issues.
CIOs are now looking to Cloudera to adopt a private AI strategy because the stakes involve absolute control and sovereignty over proprietary data and models, ensuring they meet critical security, privacy, and compliance needs. This commitment to control eliminates risks associated with external data exposure and vendor lock-in, enabling long-term AI innovation.
Scaling Generative AI and Agentic AI systems demands overcoming severe operational obstacles, including:
Operational complexity
Moving models from development, like AI Workbench to production requires eliminating performance bottlenecks during large model inference and mitigating the high cost and latency associated with traditional deployments.
Autonomous workflows
The adoption of AI Agents, autonomous software systems that can reason, plan, and act necessitates dedicated tools, Agent Studio to orchestrate complex, multi-agent automations and ensure that these actions are securely and privately executed within the enterprise environment.
Time-to-value
Many organisations suffer from insufficient platform readiness, tooling complexity, and skill gaps, slowing down time-to-market. The need for end-to-end solutions that accelerate the entire AI lifecycle, including continuous Monitoring & Evaluation, is paramount to bridging the gap From AI Dreams to Real Results.
Channel partner skills
The Cloudera Partner Network is designed to empower a broad ecosystem of technology providers, system integrators, resellers, and service partners to build, sell, and deliver modern data and AI solutions across hybrid environments.
The programme organises partners into key categories—Resell Partners, Solution and Services Partners, ISVs, OEMs, Technology Alliances, and Hyperscaler Collaborators—each aligned to distinct go-to-market motions and industry engagement models.
To ensure consistent delivery excellence, Cloudera Partner Network offers a structured enablement and certification framework that includes certifications for Sales Professional, Pre-Sales Engineer, Administrator, Data Engineer, Data Analyst, and Machine Learning, AI Engineer.
These tracks equip partners with the technical depth and commercial capability required to architect secure data platforms, modernise customer workloads, and operationalise AI at scale. Through Cloudera Partner Network, partners gain access to training, co-selling opportunities, incentives, and a unified ecosystem built to accelerate customer success.
Use cases
A typical Cloudera use case that channel partners frequently implement is a modern AI-powered Lakehouse designed to unify real-time data, accelerate analytics, and operationalise machine learning at scale.
This architecture enables organisations to ingest streaming data via NiFi and Kafka, store it in open Iceberg tables, process it with Spark and Flink, and secure it end-to-end through SDX, ensuring consistent governance and regulatory compliance.
Such a platform unlocks high-impact use cases across sectors: telcos gain improved network analytics and subscriber intelligence; banks enhance fraud detection and risk scoring; energy companies optimise assets and predictive maintenance; while government entities strengthen citizen services, smart-city operations, and security programs.
A cross-industry example is AI-driven churn prediction, a critical challenge for telcos, banks, and subscription-based government or utility services. Using Cloudera, partners can build an end-to-end churn engine that ingests behavioural, transactional, and operational data; applies feature engineering at scale; and trains ML models capable of identifying at-risk users with high precision.
With real-time scoring and actionable insights, organisations can proactively intervene with personalised retention strategies. Delivered through channel partners, this solution provides rapid time-to-value, measurable revenue impact, and a repeatable blueprint that can be adapted across industries—demonstrating how the Cloudera platform empowers partners to deliver transformative, AI-driven outcomes for their customers. It always costs more to acquire a customer than to retain one.
Marketplaces
Regional Cloudera channel partners are entering a period of strong marketplace opportunity as enterprises across emerging markets prioritise sovereign, hybrid, and AI-ready data platforms. With governments, telcos, banks, and energy providers accelerating digital transformation, partners can capitalise on rising demand for modernisation, analytics offload, governance, and secure-by-design architectures.
Cloud marketplaces such as Azure, AWS, and GCP amplify this momentum by simplifying procurement, enabling commit-to-consume deals, and unlocking co-sell benefits, MDF funding, and incentive-backed private offers. This creates predictable revenue pathways while reducing sales cycles and easing customer onboarding.
Additionally, marketplace listings open access to customers with existing cloud budgets, allowing partners to bundle their own services—migration, managed operations, AI use-case development—alongside Cloudera subscriptions. The ability to leverage MACC, ECIF, and marketplace rebates further strengthens partner profitability.
Alliances and partners
Cloudera’s extensive alliance ecosystem spans hardware, software, AI, and emerging technologies—creating one of the most complete hybrid data and AI partner landscapes in the industry. On the infrastructure side, Cloudera collaborates closely with Dell, HPE, Lenovo, IBM, and Hitachi, ensuring optimised performance for on-premise and private cloud deployments.
In the AI and GPU ecosystem, partnerships with NVIDIA, AMD, and ecosystem providers for accelerated computing enable customers to run high-performance AI training and inference workloads on an open, scalable platform.
Cloudera also integrates with a wide range of software and AI toolchains, including Crew.AI and agentic frameworks, open and closed LLMs, advanced observability tools, and leading vector databases such as Milvus, Pinecone, and OpenSearch—supporting retrieval-augmented generation, RAG and next-generation enterprise AI capabilities.
From BI and governance partners like Tableau, Collibra, and SAS, to cloud alliances with AWS, Microsoft Azure, and Google Cloud, the ecosystem is intentionally broad. Through this ever-expansive network, Cloudera remains the only global data platform that truly delivers the promise of hybrid, offering customers unparalleled choice, openness, and flexibility.
This empowers organisations to accelerate value creation across AI, analytics, and all data-driven initiatives—securely, governed, and at enterprise scale.
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How MAGNOOS leverages Cloudera for its multivendor solution stack
Being a Cloudera partner gives MAGNOOS credibility with enterprise CIOs who are prioritising hybrid cloud, AI readiness and secure data management. CIOs already familiar with Cloudera view partners as trusted advisors who can translate the platform into real business outcomes.
This helps MAGNOOS to open doors at the executive level and position full digital transformation roadmaps aligned to data, governance and AI strategies.
MAGNOOS also benefits from co-selling motions, joint account planning and field alignment, which help to engage directly with CIOs, CDOs and Heads of Architecture in strategic industries like telecom, public sector and banking.
MAGNOOS relies on multiple solutions including Cloudera Data Platform Private Cloud, Cloudera Data Engineering, Cloudera Data Warehousing and the full SDX security and governance layer. These form the foundation for the on-premises data lakehouses and analytics platforms MAGNOOS delivers for telecom, banking and public sector customers who prioritise sovereignty.
MAGNOOS has also recently started leveraging Cloudera AI more actively as its capabilities continue to expand, making it an increasingly important part of our AI and inference delivery model.
MAGNOOS leans on Cloudera’s strongest differentiators: open architecture, hybrid flexibility, enterprise security and unified governance. Cloudera lets MAGNOOS build solutions that stay consistent across environments, simplify data lifecycle management, and meet strict requirements for sovereignty and compliance.
The ability to run analytics and AI workflows on a single platform is a major advantage for MAGNOOS as a data and AI services company, since it lets the partner design and deliver data lakehouses, unified data products and agentic AI use cases under one operating model that stays consistent across environments.
Cloudera serves as the foundation for a wide range of value-added offerings. MAGNOOS builds data lake houses, industry-specific data models, and AI accelerators on top of Cloudera Data Platform. MAGNOOS also develops multi-agent AI tools, demand forecasting models, churn prediction engines, sentiment analytics, and other vertical use cases for telecom, banking, public sector and retail.
Cloudera’s openness and API-driven design make it easy to extend with MAGNOOS’ own accelerators, automation frameworks, ingestion utilities and domain-specific solutions.
Cloudera fits naturally into multi-vendor enterprise stacks across the region.
MAGNOOS commonly integrate it with Informatica for data governance and integration, Denodo for data virtualisation, Dataiku and DataRobot for data science, and other tools like Power BI and MicroStrategy for data visualisation.
MAGNOOS also includes Cloudera within cloud-native architectures on Azure, AWS and GCP, and within on-prem ecosystems that include Kubernetes, VMware, HPE, Dell and Red Hat. This multi-vendor flexibility is one of the main reasons enterprise CIOs adopt Cloudera, since it plugs into existing investments without forcing lock-in and provides a consistent data and AI fabric across all environments.
