topic Re: Welcome to the Open Lakehouse Forum! in Qlik Open Lakehouse

Welcome to the Open Lakehouse Forum!

calebjlee — Mon, 05 Jan 2026 19:14:56 GMT

This space is dedicated to conversations about scalable, Iceberg–based lakehouse architectures. Whether you’re exploring open lakehouse concepts, designing for analytics at scale, or sharing lessons learned from real-world implementations, you’re in the right place. Ask questions, share insights, and connect with others building modern, open data platforms—let’s learn and innovate together!

Re: Welcome to the Open Lakehouse Forum!

F_B — Wed, 07 Jan 2026 08:17:22 GMT

Sounds good!

Re: Welcome to the Open Lakehouse Forum!

w_nascimento — Mon, 12 Jan 2026 12:44:45 GMT

Sounds great, wanna see some real examples of Qlik Open Lakehouse in practice.

Re: Welcome to the Open Lakehouse Forum!

hugo_andrade — Mon, 12 Jan 2026 14:59:34 GMT

I’m excited to see this forum and to join the discussion.
I have been exploring Qlik Open Lakehouse since the announcement and I am very impressed with it.
I believe it will benefit all Qlik customers because it makes building and managing Iceberg-based lakehouses much simpler and more scalable.

I look forward to learning from others here and sharing experiences.

Re: Welcome to the Open Lakehouse Forum!

w_nascimento — Mon, 23 Feb 2026 17:11:21 GMT

Awesome! Excited to join the discussion.

Is it possible to create transformations and also data marts using a Pipeline of a OpenLakehouse project?

Re: Welcome to the Open Lakehouse Forum!

stijnvaneven — Thu, 30 Apr 2026 09:56:23 GMT

I actually have the same question and would also like to better understand Qlik’s direction here.

From what I understand, it now seems possible to create transformations and data marts in an Open Lakehouse project when working with streaming file sources. However, for CDC and SaaS application sources, it looks like we currently only have landing and storage tasks available.

For me, that slightly reduces the cost-efficiency argument of the lakehouse approach, especially when many transformations still need to happen in a separate cloud data warehouse by mirroring the data.

Does Qlik have any roadmap plans to support transformations and data marts for CDC and SaaS sources directly within Open Lakehouse projects? Or is there a direction to support this through an external query engine, for example by connecting something like Amazon Athena to the project in the future?

Re: Welcome to the Open Lakehouse Forum!

w_nascimento — Thu, 30 Apr 2026 13:02:38 GMT

Hello @stijnvaneven, that's also my impression, on Qlik Connect I saw some transformations been made with Streaming and File Sources but now using CDC or SaaS application sources.

So, the idea is use QTC for storage and landing and another tool to transform? Like Talend Studio, This is not clear on the architecture.

Re: Welcome to the Open Lakehouse Forum!

stijnvaneven — Thu, 30 Apr 2026 13:23:45 GMT

I hope that's not the intended direction, going to a separate transformation tool like Talend Studio for CDC/SaaS sources would mean losing a lot of what makes the Qlik Compose / Data Warehouse Automation experience valuable today (integrated modeling, data marts, lineage, orchestration all in one place).

Re: Welcome to the Open Lakehouse Forum!

Naruhiro_Yoneshige — Sun, 03 May 2026 12:22:47 GMT

Hi @w_nascimento ,

Transform and DataMart task do not distinguish between streaming sources and CDC or SaaS sources. This means they can also be created in the Open Lakehouse Project.
Please refer to the following YouTube video.

https://www.youtube.com/watch?v=7IVecXOSwo0&t=1377s

Re: Welcome to the Open Lakehouse Forum!

Naruhiro_Yoneshige — Sun, 03 May 2026 12:29:31 GMT

Hi @stijnvaneven ,

Since Open Lakehouse is stored in the native Iceberg format, it can be retrieved directly from Athena.

Re: Welcome to the Open Lakehouse Forum!

stijnvaneven — Mon, 04 May 2026 06:25:26 GMT

Those are only the basic transformation steps you can do within the storage task. The real transformation task where you can use flows or sql is not possible with CDC or SaaS. As you can see in the video you posted, it only comes available after mirroring to a cloud warehouse.