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Cloudera CDP.In practice.At scale.

We engineer Cloudera CDP end to end, net-new builds, migrations off non-Cloudera platforms, and live estates that need to go further with AI on top. 100+ PB engineered on Cloudera. Modernize, harden, activate, we do all three.

Talk to our team →See 100+ PB in production →
100+ PB
Engineered on Cloudera
1M+/s
Streaming peak
Cloudera Premier Partner
Cloudera estate for one of the largest stock exchanges: 35+ PB estate, 1M events/sec, 32B+ records/day; equities surveillance, derivatives F&O, currency & commodity, and regulatory reporting all live

Cloudera CDP services · the full stack

Six services. Six layers. Across the Cloudera CDP lifecycle.

Foundation, migration, performance, governance, ingestion, customization, built and operated at petabyte scale. The full Cloudera CDP stack, six layers we engineer, operate, and harden for production.

Six services · across the CDP lifecycle

01 · Foundation

CDP capacity & install

Multi-environment CDP with HA, capacity, DR. Hardened security and governance end-to-end.

Kerberos · TLS · Ranger RBAC · Atlas
02 · Migration

History data migration

Up to 2+ PB compressed, zero-downtime cutover, full auditing and reconciliation.

Sqoop · NiFi · Custom DIF
03 · Performance

Performance-tuned cutover

Predicate pushdown, broadcast joins, shuffle tuning, surrogate-key optimization.

Parquet · ORC · Snappy · OEM coordination
04 · Governance

Governed lake & marts

HDFS and Object Storage Ozone with unified table formats and enterprise-grade governance.

Hive · Kudu · Iceberg
05 · Ingestion

Real-time & batch ingest

Kafka + Spark pipelines sustaining 1 M+ events/sec. 32 B+ events/day on 35+ PB CDP.

Kafka · Spark Streaming · Batch
06 · Customization

Client customization

UDFs, metadata-driven pipelines, idempotent replays, Kudu primary-to-DR frameworks.

Hive ACID · Kudu · Safe retries

The full CDP stack, six layers

LAYER 01Data ingestion & streamingKafka · NiFi · Flink · Spark Streaming
LAYER 02Data storageHDFS · Ozone · Object storage
LAYER 03Data engineeringSpark · Impala · Hive · Orchestration
LAYER 04Lakehouse & databaseIceberg · Kudu · Hive ACID
LAYER 05Analytics, AI / MLCloudera AI Workbench · Ollama · CML
LAYER 06Management & governanceRanger · Atlas · Observability

Cloudera engineering depth

Cloudera CDP at production scale, engineered. Four categories of custom build on top.

Custom frameworks, native code, migration tooling, hardened operations, engineered on top of the product, operated like a product. Where every production Cloudera CDP estate at PB scale needs workload-specific engineering.

01 · Custom Frameworks

Net-new modules layered onto CDP.

  • Data Ingestion Platform (DIP), Spark + Scala, resource-adaptive
  • Copy Manager, Java / CLI for bulk Kudu loads from files or STDIN
  • Schema Adapter Module (SAM), automated alignment from external sources
  • Streaming Watcher, monitoring for 17+ Spark Structured Streaming jobs
02 · Native Extensions

Inside the Cloudera codebase.

  • 50+ Java UDFs + 7 C++ native UDFs in Impala, 3× query speed-up
  • Kudu transaction library, row / table-level locking, multi-row ACID
  • Legacy sequence framework, nextval / currval semantics on Kudu
  • 100+ Spark & Impala jobs replacing legacy stored procedures
03 · Migration Engineering

Legacy → Cloudera at PB scale.

  • Informatica Refactoring Utility, workflow XML parser + Python automation
  • History Data Load Framework, PXF → Temp HDFS → Hive INSERT
  • Surrogate key & sequence management unified across GP and CDP
  • SCD Type-2 upsert fixes on Hive ACID via cardinality and DDL redesign
04 · Production Operations

Hardening CDP for regulated workloads.

  • Purpose-built DR Sync Service for Kudu, beyond native replication
  • Real-time streaming with at-most-once + self-closure guarantees
  • Performance, compute stats, ACID compaction, predicate pushdown, YARN
  • Ranger-based governance, encryption at rest / transit, SEBI-grade compliance
2+ PBData migrated
32 B+Streaming events / day
400+Informatica workflows
3,000+BO reports delivered
500+Hive tables tuned
2,000+Kudu tables DR-synced

Cloudera CDP outcomes · production today

100+ PB live on Cloudera. Across four industries.

From deployed to dependable. From dependable to differentiating. Four representative Cloudera CDP engagements, each in continuous production.

Capital Markets · Stock Exchange

35+ PB greenfield CDP data warehouse

Architected a 35+ PB Hadoop data warehouse for one of the largest stock exchanges: 32 B+ daily records, market surveillance, SEBI-compliant, retiring five Greenplum estates and going greenfield to production in 12 months.

35+ PBdata managed 32 B+records / day
Trade Clearing · Greenfield CDP

5+ PB ODS lakehouse · 50K msg/sec

Greenfield ODS lakehouse on CDP for one of India's largest trade-clearing operations, 3,000+ ODS tables, 50K msg/sec sustained ingest, 10 B+ daily trade records on a 5-year retention. Streaming-first architecture.

5+ PBlakehouse 50Kmsg / sec 4 T+records · 5 yr
Banking · Private Bank

600 TB digital-banking warehouse

Greenplum → Hadoop migration with our accelerators. Core, UPI, CRM, collections unified. 22 M+ UPI fraud transactions/month at 98.7% accuracy. 500 stored procedures migrated; 2× faster execution; 100% data validation.

600 TBwarehouse 23.1 lakhcustomers 98.7%fraud accuracy
Public Sector · Saudi Arabia

Ministry data platform on CDP

Modernized a national-ministry data platform, unifying multiple source systems into a governed, multi-tenant CDP data lake, on-prem, national in scope, and built for regulated workloads.

Multi-sourceunified Governeddata lake Nationalscope

Branded Cloudera CDP IP · production-grade

Migration compressed. Operations transformed.

Six home-grown products that extend Cloudera CDP into production at scale: four CDP migration accelerators and a two-product observability suite. Same engineering team builds, runs, and supports.

Smart Accelerators, Migration Suite

01

ProbeX

Assess

Automated inventory of legacy stacks, dependencies, and migration complexity, produced in days, not months.

02

KodeX

Convert

Automated SQL & PL/SQL translation into the target platform's native dialects, with review checkpoints.

03

ReconX

Validate

Cross-store validation and reconciliation across two heterogeneous data stores, no sampling, 100% coverage.

04

SynthX

Simulate

Schema-aware synthetic data generation, safe, realistic testing without exposing production data.

CDP Observability Suite

Product 01

CortexIQ

The cognitive engine for intelligent cluster assessment.

  • Discovery engine. Scans nodes, configs, jobs, dependencies, auto-discovers services, workloads, topology. No agent footprint on the cluster.
  • Health diagnostics. Uptime, resource usage, failure patterns via non-intrusive collectors.
  • Unified reporting. Executive summaries, detailed health reports, technical exports.

Assessment-to-decision, from hours to minutes.

Product 02

OpsIQ

Analyze smarter. Detect faster. Resolve instantly.

  • Unified observability. Logs, metrics, traces across HDFS, YARN, Hive, Spark, Kafka, one surface.
  • Conversational co-pilot. Chat-based assistant delivers actionable insights on demand.
  • Predictive reliability. Proactive anomaly detection and root-cause diagnosis before incidents.

Reactive firefighting, to managed reliability.

Let's talk.

Twenty-five minutes. Straight to the point.

Tell us what's in your data and AI stack, what's stalled, and what would change if it worked. We'll share what we've shipped against similar patterns in production, and what makes sense as a first step.

Talk to our team →

Our Hyperscaler & Strategic Partners