Pentaho

08/28/2026

Manchester, we’re coming. 👋

Pentaho is headed to Data Decoded Manchester for two days of real conversations about data, AI, and what it takes to turn complex data environments into something your business can actually use.

No matter where your data lives or how complicated it’s gotten, come talk to our team.

📍 Data Decoded Manchester
📅 13–14 October
📌 Stand B32

See you there.

08/25/2026

Your data is everywhere. Pentaho doesn’t make you choose sides.

AWS or Azure. Snowflake or Databricks. Cloud or on-prem. Modern applications or legacy systems.

For most enterprises, the answer isn’t one or the other. It’s all of them.

Pentaho Data Integration is built for that reality.

PDI works across technologies, environments, and destinations, giving you the freedom to connect, transform, and move data without building your entire strategy around a single vendor or ecosystem.

Because your technology stack will change.

New systems will come in. Old ones will stick around. Your architecture will evolve.

Pentaho works with the choices you’ve made today, and gives you the flexibility to make different ones tomorrow.

08/21/2026

Pentaho is heading to Manchester! 🇬🇧

Join us at Data Decoded Manchester, October 13–14, where we’ll be talking all things data integration, analytics, and what’s next for Pentaho!

📍 Stand B32
📅 October 13–14
🏙️ Manchester

Whether you’re already using Pentaho or want to see what we’re building next, stop by Stand B32 to meet the team, ask questions, and talk about how to get more from your data.

See you in Manchester!

08/17/2026

Your best developer won’t be there forever.

But the pipelines they build might be.

Too often, critical data processes become dependent on the people who created them. When those people move on, teams are left trying to decipher complex code, undocumented logic, and years of institutional knowledge.

Data integration shouldn’t work that way.

Pentaho Data Integration makes pipelines visual, so teams can see how data moves, where transformations happen, and how everything connects.

That means easier handoffs, faster troubleshooting, and less knowledge trapped in one person’s head.

Build pipelines for the team you have today, and the team you’ll have tomorrow.

08/11/2026

Modernizing your data stack doesn’t have to mean starting over.

Most organizations already have tools that work. The challenge is what happens between them, across different data sources, platforms, clouds, and on-prem environments.

Pentaho Data Integration is built to work alongside your existing technology, helping fill those gaps without forcing a rip-and-replace strategy.

Keep what works. Connect what doesn’t. Stay flexible.

08/06/2026

Every join, lookup, sort, aggregation, and data transformation consumes compute.

Many organizations perform all of that work inside their cloud data warehouse, which means they're paying premium compute rates for data preparation.

Pentaho takes a different approach. Data is transformed before it reaches platforms like Snowflake, Databricks, BigQuery, Redshift, or Synapse, allowing the warehouse to focus on analytics instead of ETL.

Customers have reported reducing cloud data warehouse compute costs by 30 to 40% simply by moving transformation workloads upstream.

Sometimes the biggest cost savings don't come from using less cloud. They come from using it differently.

08/05/2026

The best conversations start before you're ever in the room.
They start when someone says, "You should talk to Pentaho."

Today, 75% of our inbound conversations begin with a referral.
That number isn't just a marketing metric. It's a measure of trust.
Every recommendation represents someone willing to put their reputation behind ours. We couldn't ask for a greater compliment.

Thank you to every customer, partner, and advocate who continues to make those introductions. We're committed to earning every one of them.

06/25/2026

Everyone is talking about scaling AI in manufacturing. The real challenge? Most manufacturers don't have data they can trust. In his latest article for Industry Today, Michael Donahue explains why AI success isn't determined by the model you choose; it's determined by the quality, context, and governance of the data behind it.

Inside, he explores:
• Why poor data quality is holding back AI initiatives
• The hidden cost of outdated, duplicate, and disconnected manufacturing data
• What it really means to become AI-ready
• Practical steps manufacturers can take to build trusted, governed data for AI

If you're investing in AI for manufacturing, this is worth the read.

Read the full article:

What will manufacturers need to get data AI ready and unlock value?

06/23/2026

Back by popular demand! One of our most viewed webinars is now available to stream.

If you're evaluating the future of your ETL strategy, this session offers a practical look at what a real-world credit risk team learned while modernizing their data integration environment.

In this webinar, you'll learn:

• Why traditional ETL approaches are becoming harder to scale and govern
• What leading organizations are looking for in a modern data integration platform
• Lessons learned from a real credit risk team's modernization journey
• How to support analytics, AI, and compliance requirements with trusted, AI-ready data

Watch it on demand here: https://pentaho.com/insights/blogs/webinar-what-a-real-world-credit-risk-team-taught-us-about-modern-etl/

MarketAxess shares how they built scalable, trusted ETL pipelines to support global credit risk operations. Watch the full discussion to hear firsthand how a small team transformed fragmented data into a reliable, near real-time foundation for decision-making.

06/16/2026

Watch Pentaho Data Integration in action! Our latest blog includes a product demonstration that shows how modern data pipelines can be designed, managed, and deployed in a web-based environment.

You'll also learn:

• The differences between ETL, ELT, CDC, streaming, and data virtualization
• How leading organizations are approaching data integration in the AI era
• Common integration challenges and strategies for overcoming them
• What to look for in a modern enterprise data integration platform

Whether you're modernizing existing pipelines or building new AI initiatives, trusted data starts with the right integration foundation.

Read the blog and watch the demo:

Data integration is usually seen as a mature technology given its presence in enterprise data stacks for over twenty years. And certainly, most organizations have been leveraging data integration as a foundational data management solution, transforming and moving data for analytics and core operatio...