Head-to-head · Ai Data Platforms
Microsoft Fabric Notebooks vs Qlik Talend Cloud
Microsoft Fabric Notebooks leads on 1 check, Qlik Talend Cloud on 0, and 0 are even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreMicrosoft Fabric Notebooks · 8.7/10
- Free planonly Microsoft Fabric Notebooks
- Free trialonly Microsoft Fabric Notebooks
Microsoft Fabric Notebooks scores higher on our rubric for ai data platforms: 8.7 against 8.5 out of 10; our editors rank them #6 and #7.
Microsoft Fabric Notebooks offers free plan; Qlik Talend Cloud doesn't.
Microsoft Fabric Notebooks is the better fit for fabric users developing notebooks and data workflows. Qlik Talend Cloud is the better fit for mid-market and enterprise data teams integrating systems.
- Microsoft Fabric Notebooks fits best
Fabric users developing notebooks and data workflows
- Qlik Talend Cloud fits best
Mid-market and enterprise data teams integrating systems
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Side by side
| Feature | Microsoft Fabric Notebooks 8.7/10 Visit ↗ | Qlik Talend Cloud 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.7 | 8.5 |
| Ranking | #6 in Ai Data Platforms | #7 in Ai Data Platforms |
| Best for | Fabric users developing notebooks and data workflows | Mid-market and enterprise data teams integrating systems |
| Pricing model | Free plan + paid | Paid |
| Starting price | Free plan · pricing on request · 60-day trial | — |
| Free plan | ✓ (best) | — |
| Free trial | 60 days | — |
| Deployment | Cloud | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Docs | Community, Docs |
| Integrations | 6 integrations | 18 integrations |
| Built for | Mid-market, Enterprise | Mid-market, Enterprise |
| Features Microsoft Fabric Notebooks 0/3 · Qlik Talend Cloud 0/3 | ||
| Data governance | Not checked yet | Not checked yet |
| Data preparation | Not checked yet | Not checked yet |
| Vector search | Not checked yet | Not checked yet |
| Specs | ||
| Deployment options | Not checked yet | Not checked yet |
| Data connectors | Not checked yet | Not checked yet |
| Supported data types | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Microsoft Fabric Notebooks is a web-based coding environment for data scientists and data engineers developing Spark-based data workflows in Fabric. It supports Python, Scala, SQL, and R, with tools for ingestion, preparation,… Read the review → |
Qlik Talend Cloud is a data integration platform for teams connecting SaaS applications, databases, files, cloud services, and enterprise systems. It supports batch and real-time movement, change data capture, transformations, data… Read the review → |
Strengths and trade-offs
Microsoft Fabric Notebooks — where it wins
- Authors Spark notebooks in Python, Scala, SQL, and R.
- Runs notebooks interactively, on schedules, through pipelines, or via APIs.
- Supports real-time collaboration and Copilot code assistance.
Where it doesn't
- Integrations are centered on Fabric and related Microsoft tools.
- Free license creation of non-Power BI items requires Fabric or trial capacity.
- Paid pricing depends on capacity and is not a simple fixed subscription.
Qlik Talend Cloud — where it wins
- Combines batch and real-time movement with log-based CDC.
- Offers visual and SQL transformations, plus ETL and ELT pipelines.
- Supports cloud, client-managed, and hybrid deployment.
Where it doesn't
- Subscription prices require contacting sales.
- Advanced transformations and governance sit in higher tiers.
- Enterprise source connectivity, including SAP and mainframes, is Enterprise-tier.
- Microsoft Fabric Notebooks8.7/10 · Free plan · pricing on request · 60-day trial
A Fabric-centered notebook environment for Spark workflows, collaboration, and ML.
Visit siteFull verdict → - Qlik Talend Cloud8.5/10 · Pricing on request
Connect, move, transform, and govern data across cloud and enterprise systems.
Visit Qlik TalendFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






