Pentaho Change
Data Capture

Organizations face relentless pressure to deliver accurate, timely, and trusted data — not just for reporting and analytics, but for operational systems, customer experiences, and emerging AI workloads. At the core of this challenge lies a deceptively simple truth: knowing what changed in your data and capturing those changes efficiently is the foundation of data fitness.

That’s where Change Data Capture (CDC) comes in. CDC moves beyond traditional batch ETL by tracking inserts, updates, and deletes in operational systems as they happen or near real-time while reliably delivering just the delta to downstream systems. When CDC is part of your Pentaho ecosystem, your pipelines become incremental, efficient, and responsive, dramatically reducing latency, resource consumption, and business risk.

Why CDC Matters for the Modern Data Stack

In traditional ETL, full table extracts are common. While workable for infrequent loads, this approach doesn’t scale as data volumes grow, and it increases strain on source systems and network resources. CDC, by contrast, offers three core benefits:

• Efficiency at Scale: By identifying and extracting only the changed data, CDC dramatically cuts down on data movement and processing overhead.
• Freshness for Decisions: Business users and analytics systems demand timelier insights. With CDC, updates can flow continuously instead of in large, stale batches.
• Reduced Operational Impact: CDC minimizes load on transactional systems, preserving performance for mission-critical applications.

CDC is a key enabler of agility in modern analytics, reporting, and operational use cases; especially with hybrid environments, cloud data lakes, or real-time dashboards.

Pentaho CDC: Smart Simplicity Meets Real-World Integration 

With Pentaho CDC, you gain continuous, operational change streams without sacrificing governance, scalability, or manageability. Whether you are streaming changes into a data warehouse or Lakehouse, feeding analytics platforms with up-to-the-minute insights, or powering event-driven microservices, Pentaho CDC ensures that data moves incrementally, reliably, and in a form that is immediately usable.

Built natively on Pentaho Data Integration and powered by log-based open-sourced change capture using Debezium, Pentaho CDC provides an agent-less, metadata-driven architecture that integrates seamlessly into the broader Pentaho ecosystem. Instead of relying on manual scripting or isolated replication tools, Pentaho CDC uses a centralized registry-driven configuration model, where source connections, target and mappings are defined declaratively. This registry is managed through a unified UI or API layer and orchestrated by a Coordinator, which dynamically generates and executes CDC pipelines using Pentaho’s scalable execution engine.

At the core of the architecture, the captures INSERT, UPDATE, and DELETE events directly from database transaction logs, ensuring accurate and near real-time change detection without impacting source system performance. The change events are processed through Pentaho’s transformation engine, allowing organizations to enrich, standardize, filter, mask, or augment data before delivery. Offset tracking and centralized observability ensure reliability, auditability, and restart safety across distributed environments.

Pentaho CDC – Data Pipes View

Because the entire process is metadata-driven and tightly integrated with Pentaho’s orchestration and governance capabilities, organizations avoid the inefficiencies of rebuilding entire tables for every refresh. Instead, they gain a scalable, observable, and governed CDC framework that transforms raw change events into trusted, analytics-ready data.

The result is a simpler, smarter approach to data movement where changes flow continuously, pipelines remain manageable, and teams can focus on delivering timely insights and real business value.

Real Results from More Data-Fit Pipelines

With Pentaho CDC, organizations can expect to realize several key benefits:

• Improved SLAs for data delivery, even under high change rates
• Lower TCO, thanks to fewer redundant extracts and storage
• Fewer bottlenecks in orchestration and transformation workflows
• Better decision speed across analytics and operational teams

By focusing on capturing only what has changed, Pentaho CDC enables leaner, more efficient pipelines that are easier to manage, scale, and govern. The result is a future-ready data architecture where organizations can move from periodic batch updates toward continuous, trusted, and business-ready data flows.

CDC as a Force Multiplier for Data Fitness

Pentaho’s mission is to help organizations achieve smart simplicity while getting data fit, and CDC is a critical component of that mission. Efficient change capture reduces noise, accelerates insights, and strengthens trust in the data systems that power critical decisions.

Whether you’re modernizing legacy ETL, building near-real-time analytics, or enabling event-driven applications, Pentaho CDC helps turn change into opportunity.

Reach out

Pentaho CDC is a lighthouse limited product available for evaluation to customers, partners and users for a limited timeframe. Reach out to Pentaho Support team and/or Pentaho Account Executives to acquire the Pentaho CDC.