Head-to-head · Data Preparation for Analytics
Dataform vs Qlik Talend Cloud
Dataform leads on 3 checks, Qlik Talend Cloud on 0, and 0 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreDataform · 7.1/10
- Free planonly Dataform
- Most featuresDataform · 2 of 3
Dataform scores higher on our rubric for data preparation for analytics: 7.1 against 6.7 out of 10; our editors rank them #5 and #7.
Dataform offers free plan; Qlik Talend Cloud doesn't. Dataform offers data quality checks; Qlik Talend Cloud doesn't publish it. Dataform offers version control; Qlik Talend Cloud doesn't publish it.
Dataform is the better fit for bigQuery teams using SQL-based preparation workflows. Qlik Talend Cloud is the better fit for enterprises combining data preparation and movement.
- Dataform fits best
BigQuery teams using SQL-based preparation workflows
- Qlik Talend Cloud fits best
Enterprises combining data preparation and movement
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Side by side
| Feature | Dataform 7.1/10 Visit ↗ | Qlik Talend Cloud 6.7/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 7.1 | 6.7 |
| Ranking | #5 in Data Preparation for Analytics | #7 in Data Preparation for Analytics |
| Best for | BigQuery teams using SQL-based preparation workflows | Enterprises combining data preparation and movement |
| Pricing model | Free | Paid |
| Starting price | Not published | Not published |
| Free plan | ✓ (best) | — |
| Free trial | — | — |
| Deployment | Cloud | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Docs, Community | Community, Docs |
| Integrations | 9 integrations | 18 integrations |
| Built for | Mid-market, Enterprise | Mid-market, Enterprise |
| Features Dataform 2/3 · Qlik Talend Cloud 0/3 | ||
| Data quality checks | ✓ (best) | Not published |
| Scheduled runs | Not published | Not published |
| Version control | ✓ (best) | Not published |
| Specs | ||
| Deployment | Not published | Hybrid |
| Workflow interface | Not published | Not published |
| Source connectors | Not published | Not published |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Dataform is a Google Cloud service for analysts and data engineers who prepare data in BigQuery through versioned, scheduled SQL workflows. SQLX defines tables, views, incremental tables, and materialized views; JavaScript workflow actions… Read the review → |
Qlik Talend Cloud brings data movement and preparation together for teams connecting SaaS applications, databases, files, cloud services, and enterprise systems. It supports batch and real-time pipelines, change data capture, visual… Read the review → |
Strengths and trade-offs
Dataform — where it wins
- Define SQLX transformations, dependencies, and reusable JavaScript actions.
- Connect Git repositories and visualize compiled workflow dependencies.
- Add data-quality assertions, scheduled runs, logs, and monitoring.
Where it doesn't
- Preparation workflows are centered on BigQuery rather than multiple data platforms.
- The SQL-first interface may not suit teams seeking visual preparation tools.
- Google Cloud services used alongside Dataform may incur separate charges.
Qlik Talend Cloud — where it wins
- Combines visual ETL/ELT flows with custom SQL transformations.
- Supports batch, real-time movement, and log-based change data capture.
- Connects preparation with quality, governance, and lineage capabilities.
Where it doesn't
- Pricing is sales-led, with no public tier prices.
- ETL/ELT transformations start at Premium, not the lower tiers.
- Preparation is part of a broader integration suite, not a standalone focus.
- Dataform7.1/10 · Free plan
A free, code-first option for teams preparing BigQuery data with SQLX.
Visit DataformFull verdict → - Qlik Talend Cloud6.7/10 · Pricing on request
Combines data preparation with replication, CDC, governance, and pipeline automation.
Visit QlikFull verdict →
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All data preparation for analytics comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
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