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Head-to-head · Data Integration

Qlik Talend Cloud vs Google Cloud Dataflow

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Qlik Talend Cloud #1 in Data Integration 9.2/10 Pricing on request ✓ 1 of 1 features Visit site
Google Cloud Dataflow #7 in Data Integration 8.5/10 Paid ✓ 1 of 1 features Visit Google Cloud

Qlik Talend Cloud leads on 0 checks, Google Cloud Dataflow on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreQlik Talend Cloud · 9.2/10

Qlik Talend Cloud scores higher on our rubric for data integration: 9.2 against 8.5 out of 10; our editors rank them #1 and #7.

On deployment, Qlik Talend Cloud gives you Hybrid where Google Cloud Dataflow offers Cloud.

Qlik Talend Cloud is the better fit for enterprises needing broad governed data integration. Google Cloud Dataflow is the better fit for google Cloud teams running batch and streaming pipelines.

  • Qlik Talend Cloud fits best

    Enterprises needing broad governed data integration

  • Google Cloud Dataflow fits best

    Google Cloud teams running batch and streaming pipelines

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Side by side

Feature Qlik Talend Cloud 9.2/10 Visit ↗ Google Cloud Dataflow 8.5/10 Visit ↗
At a glance
Editor score 9.2 8.5
Ranking #1 in Data Integration #7 in Data Integration
Best for Enterprises needing broad governed data integration Google Cloud teams running batch and streaming pipelines
Pricing model Paid Paid
Starting price — Not checked yet
Free plan — —
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Web Web
Support Community, Docs Docs, Community, Live chat, Phone, Tickets
Integrations 18 integrations 14 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Qlik Talend Cloud 1/1 · Google Cloud Dataflow 1/1
Change data capture ✓ ✓
Specs
Deployment Hybrid Cloud
Prebuilt connectors Not checked yet Not checked yet
Sync frequency Not checked yet Not checked yet
Data transformations Not checked yet Not checked yet
Destination types Not checked yet Not checked yet
Our review
Pros
  • Moves data in batch or in real time, with log-based change data capture.
  • Combines ETL and ELT, visual flows, and custom SQL transformations.
  • Premium and Enterprise add lineage, quality, governance, and stewardship capabilities.
  • Runs batch and streaming Apache Beam pipelines with managed worker infrastructure
  • Offers templates, CDC workflows, and managed I/O connectors
  • Autoscaling and monitoring support ongoing pipeline operations
Cons
  • Pricing is contact-sales, with no public plan prices.
  • Starter focuses on SaaS application and database replication.
  • Advanced governance and SAP or mainframe connectivity are reserved for higher tiers.
  • Usage-based pricing can make costs less predictable than fixed tiers
  • Requires engineering work to build and manage pipeline logic
  • Its focus is pipeline execution, not end-to-end integration design
Our verdict

Qlik Talend Cloud connects SaaS applications, databases, files, cloud services, and enterprise systems for data teams that need to move and prepare data across environments. Its scope spans batch loading and scheduled reloads, real-time…

Read the review →

Google Cloud Dataflow is a managed service for running Apache Beam pipelines that process batch and streaming data. It is aimed at engineering and data teams building data processing and integration workflows on Google Cloud, particularly…

Read the review →
  1. Qlik Talend CloudData Integration 9.2Pricing on request
  2. Google Cloud DataflowData Integration 8.5Paid

Strengths and trade-offs

  • Qlik Talend Cloud — where it wins

    • Moves data in batch or in real time, with log-based change data capture.
    • Combines ETL and ELT, visual flows, and custom SQL transformations.
    • Premium and Enterprise add lineage, quality, governance, and stewardship capabilities.

    Where it doesn't

    • Pricing is contact-sales, with no public plan prices.
    • Starter focuses on SaaS application and database replication.
    • Advanced governance and SAP or mainframe connectivity are reserved for higher tiers.

  • Google Cloud Dataflow — where it wins

    • Runs batch and streaming Apache Beam pipelines with managed worker infrastructure
    • Offers templates, CDC workflows, and managed I/O connectors
    • Autoscaling and monitoring support ongoing pipeline operations

    Where it doesn't

    • Usage-based pricing can make costs less predictable than fixed tiers
    • Requires engineering work to build and manage pipeline logic
    • Its focus is pipeline execution, not end-to-end integration design
  • Qlik Talend Cloud9.2/10 · Pricing on request

    Broad integration and governance capabilities for teams building managed data pipelines.

    Visit siteFull verdict →
  • Google Cloud Dataflow8.5/10 · Paid

    A managed Google Cloud service for teams building batch and streaming pipelines.

    Visit Google CloudFull verdict →

More comparisons

All data integration comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update