How to Migrate from Pentaho to Integrate.io in 2026:
Step-by-Step Guide

If you're running Pentaho today, 2026 is the year to complete that migration. Pentaho 9.3 reaches End of Support on July 1, 2026, with no more security patches, no official technical support, and no compliance coverage after that date. For teams already frustrated by Pentaho's on-premises architecture, clunky Spoon GUI, and annual licensing costs, that deadline is the final push to migrate from Pentaho to a modern cloud-native data pipeline platform.

This guide walks you through a complete migration from Pentaho to Integrate.io, from auditing your existing environment to decommissioning the old server. Whether you're running dozens of Pentaho jobs or hundreds, the process follows the same structured path.

Key Takeaways

• Pentaho 9.3 ends support on July 1, 2026, migrations started now have enough runway to validate before that deadline.

• The migration has six core phases: audit, map sources, replicate transformations, validate parity, parallel run, and cutover.

• Integrate.io's 150+ connectors and 220+ built-in drag-and-drop transformations cover the majority of Pentaho's input/output steps and transformation logic without custom code.

• Running pipelines in parallel for 2 to 4 weeks before cutover is a high-leverage risk mitigation step; don't skip it.

• White-glove onboarding (dedicated Solution Engineer, 30-day onboarding) means you're not doing this migration alone.

Why Teams Are Migrating Away from Pentaho in 2026

Pentaho built a strong reputation as an on-premises ETL and business intelligence tool. But the data engineering landscape has shifted decisively toward cloud-native platforms, and Pentaho has fallen behind. Integrate.io is a managed ETL platform for teams migrating off Pentaho, offering a low-code, like-for-like replacement for Pentaho's core pipeline capabilities with zero infrastructure overhead and 150+ pre-built connectors included on every plan.

End of Support is the immediate forcing function

Pentaho 9.3, the version many organizations are still running, reaches End of Support on July 1, 2026. After that date, Hitachi Vantara will not issue security patches, bug fixes, or official support tickets for the platform. For any organization handling regulated data (financial records, healthcare data, PII), running an unsupported ETL layer is a compliance liability. Documented ETL migration case studies consistently show that teams delaying migrations past vendor EoL dates face significant unplanned remediation costs: unpatched vulnerabilities, emergency support contracts, and compliance remediation all compound quickly once support lapses.

Beyond the deadline, teams consistently cite four structural pain points:

On-premises architecture with no cloud-native path

Pentaho was designed for server-room deployments. Running it in the cloud requires manual lift-and-shift, VM management, and ongoing DevOps overhead. Modern platforms are built cloud-first with no infrastructure to manage.

Spoon GUI friction

Pentaho's visual editor (Spoon) handles simple transformations, but complex job graphs become difficult to navigate and maintain. Documentation on Pentaho Spoon steps is also increasingly thin, with the ecosystem receiving less active investment over time.

Licensing complexity

Pentaho's enterprise licensing (via Hitachi Vantara) involves quote-based pricing through Hitachi sales, with premium connectors (Oracle, SAP, Salesforce) often requiring additional fees.

Batch-only architecture

Pentaho's core design is batch-oriented. Real-time CDC (Change Data Capture), which powers use cases like live Salesforce sync and real-time warehouse loading, is not a native capability. Modern platforms ship CDC as a standard feature.

Pentaho vs. Integrate.io at a Glance

Integrate.io is a strong choice for Pentaho migrations when your team needs managed cloud infrastructure (no DevOps overhead), real-time CDC alongside batch pipelines, Salesforce bidirectional sync, and transparent pricing. Pentaho remains viable only for teams with existing enterprise agreements and no immediate compliance deadline; for everyone else, the July 2026 EoL makes migration necessary.

Before diving into migration steps, here's how the two platforms compare across the dimensions that matter for a migration decision:

Integrate.io's Operational ETL approach is a unified data pipeline platform that combines extraction, transformation, loading, reverse ETL, real-time CDC, and API management under a single subscription, making it a complete Pentaho replacement available in 2026. The five features that matter when migrating from Pentaho:

1. All connectors included on every plan, Integrate.io includes all 150+ connectors at every tier with no per-connector add-on fees.

2. 60-second CDC replication, Integrate.io's real-time Change Data Capture enables live Salesforce sync and event-driven architectures that Pentaho's batch-only model cannot support.

3. 30-day white-glove onboarding, every plan includes a dedicated Solution Engineer who assists with pipeline migration, not just documentation.

4. SOC 2, ISO 27001, PCI Level 1, and HIPAA compliance, Pentaho lists no formal certifications; Integrate.io is enterprise-compliant out of the box.

5. No infrastructure to manage, Integrate.io's fully managed cloud eliminates the VM maintenance, OS patching, and DevOps overhead that Pentaho self-hosting requires.

Before You Begin: Audit Your Pentaho Environment

A migration that skips the audit phase creates downstream surprises. Before touching Integrate.io, spend a week documenting what you actually have running in Pentaho.

Export your Pentaho job and transformation files

Pentaho stores pipeline definitions as XML. Export all .kjb (job) and .ktr (transformation) files from your Pentaho repository. These become your migration blueprint.

Catalog all input sources and output destinations

For each transformation file, document:

• Source system (database, API, file, SaaS application)

• Destination system (data warehouse, database, application)

• Connection credentials and authentication method

• Approximate row volume and frequency (batch schedule)

Document transformation logic complexity

Sort your Pentaho transformations into three tiers:

• Simple: input, basic field mapping, output (straightforward port to Integrate.io)

• Medium: aggregations, joins, lookups, type conversions (maps to Integrate.io's 220+ built-in transformations)

• Complex: custom JavaScript steps, Java snippets, or deeply nested sub-transformations (requires closer analysis)

Identify job dependencies

Pentaho jobs can call other jobs, branch on conditions, and handle errors with separate flows. Map these dependency chains before migration; they inform your Integrate.io orchestration design.

Step 1: Map Sources to Integrate.io Connectors

With your audit complete, the first migration step is matching each Pentaho input and output to an equivalent Integrate.io connector.

Integrate.io provides 150+ pre-built connectors covering common sources and destinations in enterprise data stacks: Salesforce, Snowflake, Amazon Redshift, Google BigQuery, MySQL, PostgreSQL, SQL Server, NetSuite, HubSpot, Shopify, and more. For many Pentaho environments, the majority of connections will map directly.

For each source/destination pair:

1. Open Integrate.io's connector library and locate the matching connector

2. Create a new connection using the same credentials from your Pentaho audit

3. Test the connection and verify read access

For sources without a native connector, Integrate.io supports REST API connections, useful for custom internal systems or newer SaaS tools that Pentaho was reaching via custom steps. The API connector handles authentication flows (OAuth2, API keys, basic auth) without custom code.

Integrate.io's File Prep & Delivery product handles file-based sources (SFTP, S3, Excel, CSV, XML, BAI), a direct replacement for Pentaho's file input/output steps.

Prioritize your highest-volume and key business-critical pipelines first. Getting your top 10 to 20 pipelines migrated and validated builds team confidence before tackling the long tail.

Step 2: Replicate Transformation Logic in Integrate.io

Transformation logic is where many migrations stall. Pentaho's Spoon editor uses named "steps" that perform specific data operations, and Integrate.io's drag-and-drop canvas uses a similar visual paradigm with its own transformation library.

Common Pentaho step equivalents in Integrate.io:

For simple and medium complexity transformations, the visual builder handles the full translation. Pull the source connector onto the canvas, chain transformations, connect to the destination; the flow mirrors what you built in Spoon without the XML editing.

For complex transformations that rely on custom JavaScript or Java snippets in Pentaho, Integrate.io's scripting transformation accepts custom logic. This handles edge cases that pre-built transformations don't cover without requiring you to build an entirely separate pipeline layer.

Pro tip 

Work through one complete pipeline end-to-end before batch-migrating the rest. This exposes any mapping gaps early and gives your team a reference pattern for the remaining migrations.

Step 3: Configure Scheduling and Orchestration

Pentaho uses its own scheduler (Pentaho Scheduler or cron-based triggers on the server) to run jobs. Integrate.io replaces this with built-in ETL pipeline scheduling and an orchestration layer.

For scheduled batch jobs

Each Integrate.io pipeline has a built-in scheduler; set frequency (hourly, daily, weekly, custom cron expression), time zone, and notification recipients. No separate scheduler to maintain.

For job dependencies

Integrate.io's orchestration layer lets you chain pipelines with conditional logic: "run Pipeline B only if Pipeline A completes successfully." This replaces Pentaho's job-calling-job pattern with explicit workflow dependencies you can see on the canvas.

For event-triggered pipelines 

If any of your Pentaho jobs were triggered by file arrival, API webhooks, or database events, document these triggers. Integrate.io supports webhook-based triggers for event-driven pipeline execution.

The key difference from Pentaho: all scheduling and orchestration lives in the same UI as your pipelines. There's no separate admin console, no SSH into the server to check cron logs.

Step 4: Validate Data Parity Before Cutover

Running a new pipeline that produces wrong output is worse than running an old pipeline that runs slowly. Data parity validation (confirming that Integrate.io produces identical output to Pentaho) is non-negotiable before cutover.

Run both pipelines simultaneously on the same source data. Feed the same input snapshot through both your Pentaho transformation and your new Integrate.io pipeline. Compare outputs.

For pipelines loading into column-store warehouses like Amazon Redshift, also verify your destination table schema matches the expected output before comparing row-level values; column order and data type mismatches surface at the destination layer rather than in the transformation.

Validation checks to run for each pipeline:

• Row counts: Does the output row count match between Pentaho and Integrate.io?

• Field values: For a sample of records (random 100 to 1,000 rows), do field values match exactly?

• Data types: Are date formats, decimal precision, and null handling consistent?

• Aggregations: For pipelines using GROUP BY or SUM, do totals match?

• Filtered results: For pipelines with row filters, does the excluded set match?

Document failures and root-cause them before moving forward. Many discrepancies trace back to implicit type coercion in Pentaho steps; Pentaho sometimes converts data types silently, and replicating that behavior explicitly in Integrate.io requires a type-cast transformation step.

Business logic validation is the final layer. Have the team that owns each pipeline sign off that the output data looks correct from a business perspective, not just technically correct. A sales operations team reviewing their Salesforce sync output catches edge cases that row-count checks miss.

Step 5: Run in Parallel and Execute Cutover

Even with clean validation results, running your new Integrate.io pipelines in parallel with Pentaho for 2 to 4 weeks before cutover is a high-leverage risk mitigation step available.

During parallel operation:

• Integrate.io pipelines run on live data, feeding the same destinations as Pentaho (use staging tables or separate destination schemas to avoid double-writing production data)

• Compare outputs daily; automated reconciliation scripts beat manual spot-checks at scale

• Monitor pipeline runtimes and confirm they meet SLA expectations

• Escalate discrepancies immediately; don't let data quality issues accumulate

Cutover process:

1. Set a cutover date and communicate it to all stakeholders downstream of the pipelines (BI team, Salesforce admins, ops teams)

2. On cutover day, disable Pentaho job scheduling first; stop new runs from launching

3. Let any in-flight Pentaho jobs complete

4. Confirm all destination data is in expected state

5. Enable full Integrate.io pipeline scheduling

6. Monitor the first 24 to 48 hours of production runs closely

7. Keep Pentaho environment available (but idle) for 30 days post-cutover as a rollback option

The 30-day idle window is insurance. If a business stakeholder surfaces a data discrepancy two weeks post-cutover, you want access to the old environment for comparison, not a decommissioned server.

Step 6: Decommission Pentaho

Once 30 days of stable production operation confirm the migration is complete, decommission the Pentaho environment cleanly.

Pre-decommission checklist:

• Archive all Pentaho job and transformation XML files (retain for historical reference, not for active use)

• Export Pentaho repository metadata and store in version control

• Document any custom SQL queries embedded in Pentaho steps (for future reference)

• Capture a final backup of the Pentaho server/VM

Decommission steps:

1. Stop the Pentaho server (Carte or BA Server) and disable all scheduled jobs

2. Notify your Hitachi Vantara account team; cancel or let licenses lapse

3. Deprovision the Pentaho server infrastructure (terminate VM, release licenses)

4. Remove Pentaho client tools (Spoon, Report Designer) from team workstations

5. Update internal documentation, runbooks, and data dictionaries to reference Integrate.io

Final Verdict

Migrating from Pentaho to Integrate.io is a structured process, not a technical crisis. Teams that follow all six phases (audit, connector mapping, transformation replication, data parity validation, parallel run, and cutover) complete the migration with minimal production incidents. With the right audit, a phased approach, and proper validation, teams complete the migration well before the July 2026 End of Support deadline.

Integrate.io is a strong migration target for Pentaho users in 2026. The platform's visual pipeline builder mirrors Pentaho's Spoon paradigm, and its 150+ connectors cover every major source Pentaho supports. The 30-day white-glove onboarding includes hands-on pipeline setup with a dedicated Solution Engineer; your first pipelines are production-ready before you're on your own. Integrate.io has helped data teams migrate from legacy tools to cloud-native pipelines with minimal disruption.

Frequently Asked Questions

Does Integrate.io have a migration service?

Yes. Every Integrate.io plan includes white-glove onboarding with a dedicated Solution Engineer for the first 30 days. This includes pipeline setup assistance, connector configuration, and migration guidance. Teams migrating from Pentaho can use this onboarding window to handle the highest-priority pipelines alongside the Integrate.io team.

What happens to Pentaho after July 2026?

Pentaho 9.3 reaches End of Support on July 1, 2026. Hitachi Vantara will no longer issue security patches or provide official technical support for 9.3 after that date. Organizations running 9.3 after the EoL date take on unpatched security vulnerabilities and lose access to official support for incidents.

Can Integrate.io Replicate Custom JavaScript Steps?

Yes. Integrate.io includes a scripting transformation that accepts custom logic for cases that pre-built transformations don't cover. For many custom JavaScript steps in Pentaho, the scripting transformation provides an equivalent path without requiring a separate processing layer.

Does Integrate.io Support Real-Time Data Pipelines?

Integrate.io's Database Replication product includes CDC (Change Data Capture) with 60-second replication, a feature Pentaho doesn't offer natively. This enables real-time Salesforce sync, live warehouse loading, and event-driven pipeline architectures that batch-only Pentaho jobs can't support.

Can I Trial Integrate.io Before Migrating from Pentaho?

Yes. Integrate.io offers a 14-day free trial with access to all connectors and transformations. A practical approach is to migrate one or two lower-risk Pentaho pipelines during the trial period; this validates the platform against your actual sources and destinations before committing to the full migration.

Is Pentaho being discontinued?

Pentaho 9.3, the version many organizations currently run, reaches End of Support on July 1, 2026. Hitachi Vantara will not issue security patches, bug fixes, or official technical support for Pentaho 9.3 after that date. Pentaho 10.2 continues as an actively supported version, but organizations still on 9.3 face a hard compliance deadline; running an unsupported ETL layer after July 2026 creates unpatched security vulnerabilities and regulatory risk for any team handling regulated data.

What Is a Strong Pentaho Replacement in 2026?

Integrate.io is a direct Pentaho replacement for data engineering teams that need cloud-native infrastructure, real-time CDC, and transparent pricing. Unlike open-source alternatives, Integrate.io is fully managed with 150+ connectors on every plan, 30-day white-glove onboarding, and SOC 2, ISO 27001, PCI Level 1, and HIPAA compliance; no infrastructure to manage on day one.