Proven with Industry Leaders
Your data can't go to a public model. So your AI stalls.
Every promising pilot dies the moment it meets your CISO, model-risk, or compliance review — because the obvious tools send your regulated data somewhere it legally can't go.
Meanwhile less-regulated competitors keep shipping. The gap isn't ambition or budget — it's a way to run real AI on sensitive data without it ever leaving your control, and a delivery partner who can get it past the people whose job is to say no.
Cloudera consulting services, from estate to production AI
Senior practitioners, not a bench of juniors. We plan, build, and run Cloudera for organizations that can't afford to get governance wrong. The build leads to private AI on Cloudera; once the platform is in production, Cloudera support keeps it sound.
Implementation & platform setup
Stand up Cloudera Data Platform — on-prem, Private Cloud, or hybrid — with governance, lineage, and access control designed for audit from day one.
Migration & upgrades
Move from legacy CDH/HDP or competing platforms to modern CDP without your data ever leaving the perimeter — and without breaking the controls auditors rely on.
Private AI enablement
Production GenAI and agents on your Cloudera data, in-perimeter, via Cloudera AI Inference and NVIDIA NIM. Model-agnostic and built to survive review.
Explore Private AI on ClouderaManaged services (L3)
Senior escalation support above the standard ceiling — the deep platform expertise your team reaches for when the ticket gets hard.
Optimization & cost
Tune performance, right-size compute, and bring spend under control across hybrid and on-prem Cloudera workloads.
AI Readiness Assessment
A fast, fixed-scope diagnostic of whether your data is actually ready for AI — the low-risk first step that de-risks everything after it.
We cover your Cloudera stack, end to end
Cloudera Data Platform (CDP)
Hybrid lakehouse across on-prem, Private Cloud, and public cloud.
Cloudera AI & AI Inference
Model development, serving, and agentic AI with NVIDIA NIM.
Data Warehouse · Iceberg · Trino
Open lakehouse analytics at scale on governed data.
DataFlow (NiFi) · Kafka
Real-time ingest, change data capture, and event streaming.
SDX · Ranger · Atlas
Unified security, lineage, and access control — the audit backbone.
On-prem · Private · Hybrid
Data-residency-constrained deployments are our default, not an exception.
Built for the buyers who can't get AI wrong
AML / KYC, in-perimeter
We speak the examiner's language. Private AI for financial-crime, KYC, and customer data — grounded, cited, and built to clear model-risk review.
PHI-safe AI
Clinical document intelligence, prior-auth, and adverse-event workflows on PHI that never leaves the perimeter — built to clear HIPAA review.
IP protection
Keep proprietary designs, trade secrets, and process data inside the building while still putting AI to work on it.
The platform is Cloudera's. The outcome is ours.
Anyone can resell a license. What stalls — and what we're built to fix — is getting regulated AI from pilot to production past the people whose job is to say no. That's a delivery problem, and delivery is what we sell.
Senior practitioners only
The people who scope your work are the people who deliver it. We bring the expertise and get it done faster.
Regulated-domain depth
KYC/AML and PHI aren't acronyms we looked up. We design for the review, not just the demo.
Past model-risk & CISO review
We produce the lineage, controls, and evidence your risk function needs to put AI into production.
Cloudera consulting or an in-house team?
Most organizations need both. Your team owns the roadmap and the daily work. A partner adds depth where it is rare and expensive to hire: major upgrades, migrations, security integration, and new workloads such as private AI.
- Keep it in-house when the estate is stable, your team has current Cloudera skills, and the roadmap holds no major change.
- Bring in a partner for upgrades and migrations, for skills you cannot hire fast enough, and for work your auditors will scrutinize.
- Mix the two with a partner carrying escalations and specialist roles while your team runs the platform day to day. That is what our Cloudera support practice does.
Cloudera partner types compared
Each kind of Cloudera partner fits a different situation. The table describes fit, not rank.
| Partner type | Where it fits | Where it falls short |
|---|---|---|
| Duczer East (specialist Cloudera Premier Partner) | Regulated enterprises that need on-premises or hybrid Cloudera delivered, supported, and extended to private AI by one senior team across the Americas. | A smaller bench than a global integrator. Not the right choice for a program staffed by hundreds. |
| Cloudera professional services | Deep product knowledge and the closest view of the Cloudera roadmap. | Scope centers on the Cloudera product rather than the systems, data, and operating model around it. |
| Global systems integrators | Large multi-platform programs that need scale, global coverage, and one contract across many workstreams. | Cloudera depth varies by team, the senior people in the sale may not do the work, and the cost structure is higher. |
| Specialist data consultancies | Cloud data platform work, often across several vendors. | Strength is often in cloud-native platforms; check on-premises Cloudera and regulated-industry experience before you sign. |
| Offshore delivery teams | Cost-efficient capacity for well-specified build and run work. | Time-zone distance from your teams, and data-residency and regulatory context need checking before work starts. |
Cloudera consulting, answered plainly.
What does a Cloudera consultant do?
A Cloudera consultant designs, implements, migrates, and tunes Cloudera Data Platform estates, and builds the data and AI workloads that run on them. That covers architecture, security and governance with SDX, Ranger, and Atlas, upgrades and migrations, performance and cost work, and private AI on governed data.
How do I choose a Cloudera consulting partner?
Test five things: hands-on experience with the Cloudera releases you run, on-premises and hybrid depth if your data cannot move to public cloud, references in regulated environments if you operate in one, who supports the platform after go-live, and whether the partner will tell you when another platform is the better fit. We implement Databricks and Snowflake as well as Cloudera, so we can answer that last question honestly.
Cloudera consulting or an in-house data team?
Most organizations need both. An in-house team owns the roadmap and the day-to-day work. A consulting partner adds depth for upgrades, migrations, security integration, and new workloads like private AI, and fills roles that are hard to hire. The right split depends on how much Cloudera expertise you already have and how fast the estate is changing.
What does Cloudera consulting cost?
It depends on scope. Most engagements start with a fixed-scope readiness assessment, and build or run work is then sized to the estate and agreed after that assessment.
How fast can a Cloudera partner start?
The readiness assessment is fixed in scope, so it can start without a long procurement cycle. Build and run work is scheduled once the assessment has defined what is needed.
Can you migrate from CDH or HDP to CDP?
Yes. We migrate legacy Cloudera CDH and Hortonworks HDP estates to current CDP releases, on premises or hybrid, with the security and governance controls rebuilt so auditors can still rely on them.