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Head-to-head · Ai Data Platforms

Apache Hudi vs Qlik Talend Cloud

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Apache Hudi #5 in Ai Data Platforms 8.8/10 Open source ✓ 0 of 3 features Visit Apache Hudi
Qlik Talend Cloud #7 in Ai Data Platforms 8.5/10 Pricing on request ✓ 0 of 3 features Visit Qlik Talend

Apache Hudi leads on 0 checks, Qlik Talend Cloud on 0, and 1 is 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 scoreApache Hudi · 8.8/10

Apache Hudi scores higher on our rubric for ai data platforms: 8.8 against 8.5 out of 10; our editors rank them #5 and #7.

Apache Hudi is the better fit for engineering teams building transactional lakehouse tables. Qlik Talend Cloud is the better fit for mid-market and enterprise data teams integrating systems.

  • Apache Hudi fits best

    Engineering teams building transactional lakehouse tables

  • Qlik Talend Cloud fits best

    Mid-market and enterprise data teams integrating systems

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Side by side

Feature Apache Hudi 8.8/10 Visit ↗ Qlik Talend Cloud 8.5/10 Visit ↗
At a glance
Editor score 8.8 8.5
Ranking #5 in Ai Data Platforms #7 in Ai Data Platforms
Best for Engineering teams building transactional lakehouse tables Mid-market and enterprise data teams integrating systems
Pricing model Free Paid
Starting price Open source —
Free plan Not checked yet —
Free trial — —
Deployment Self-hosted Cloud, Self-hosted
Support Community, Docs Community, Docs
Integrations 20 integrations 18 integrations
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Apache Hudi 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
  • ACID tables support upserts, deletes, and change capture.
  • Streaming and CDC ingestion work alongside batch pipelines.
  • Table services include clustering, compaction, cleaning, and indexing.
  • 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.
Cons
  • Self-hosted deployment puts operations on the adopting team.
  • Community and documentation are the listed support channels.
  • Its broad engine and format options require an existing data stack.
  • Subscription prices require contacting sales.
  • Advanced transformations and governance sit in higher tiers.
  • Enterprise source connectivity, including SAP and mainframes, is Enterprise-tier.
Our verdict

Apache Hudi adds transactional tables and incremental processing to data lakes, making it a fit for engineering teams building pipelines that need mutable records rather than append-only storage. It supports ACID guarantees, upserts,…

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 →
  1. Apache HudiAi Data Platforms 8.8Open source
  2. Qlik Talend CloudAi Data Platforms 8.5Pricing on request

Strengths and trade-offs

  • Apache Hudi — where it wins

    • ACID tables support upserts, deletes, and change capture.
    • Streaming and CDC ingestion work alongside batch pipelines.
    • Table services include clustering, compaction, cleaning, and indexing.

    Where it doesn't

    • Self-hosted deployment puts operations on the adopting team.
    • Community and documentation are the listed support channels.
    • Its broad engine and format options require an existing data stack.

  • 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.

More comparisons

All ai data platforms comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update