Head-to-head · Data Preparation for Analytics
AWS Glue DataBrew vs Informatica Data Integration
AWS Glue DataBrew leads on 0 checks, Informatica Data Integration on 1, and 1 is 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 scoreAWS Glue DataBrew · 9.1/10
- Free planonly Informatica Data Integration
- Most featuresAWS Glue DataBrew · 1 of 3
AWS Glue DataBrew scores higher on our rubric for data preparation for analytics: 9.1 against 8.9 out of 10; our editors rank them #2 and #4.
Informatica Data Integration offers free plan; AWS Glue DataBrew doesn't. On deployment, Informatica Data Integration gives you Hybrid where AWS Glue DataBrew offers Cloud.
AWS Glue DataBrew is the better fit for AWS users preparing data with reusable recipes. Informatica Data Integration is the better fit for enterprises needing hybrid integration and CDC.
- AWS Glue DataBrew fits best
AWS users preparing data with reusable recipes
- Informatica Data Integration fits best
Enterprises needing hybrid integration and CDC
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Side by side
| Feature | AWS Glue DataBrew 9.1/10 Visit ↗ | Informatica Data Integration 8.9/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.1 | 8.9 |
| Ranking | #2 in Data Preparation for Analytics | #4 in Data Preparation for Analytics |
| Best for | AWS users preparing data with reusable recipes | Enterprises needing hybrid integration and CDC |
| Pricing model | Paid | Free plan + paid |
| Starting price | $0.48/unit usage-based | — |
| Free plan | — | ✓ (best) |
| Free trial | — | — |
| Deployment | Cloud | Cloud, Self-hosted |
| Platforms | Web | Web, Windows |
| Support | Docs | Live chat, Phone, Community, Docs |
| Integrations | 7 integrations | 10 integrations |
| Built for | Small business, Mid-market, Enterprise | Mid-market, Enterprise |
| Features AWS Glue DataBrew 1/3 · Informatica Data Integration 0/3 | ||
| Data quality checks | Not checked yet | Not checked yet |
| Scheduled runs | ✓ (best) | Not checked yet |
| Version control | Not checked yet | Not checked yet |
| Specs | ||
| Deployment | Cloud | Hybrid |
| Workflow interface | Not checked yet | Not checked yet |
| Source connectors | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | AWS Glue DataBrew is a cloud service for analysts and data scientists who need to profile, clean, normalize, and transform datasets through a visual interface rather than writing code. Its point-and-click projects can produce reusable,… Read the review → |
Informatica Data Integration brings ETL, ELT, replication and change data capture together for mid-market and enterprise data teams. It supports work across cloud applications, databases, flat files and on-premises systems, with reusable… Read the review → |
Strengths and trade-offs
AWS Glue DataBrew — where it wins
- More than 250 built-in transformations for common preparation tasks
- Reusable, versioned recipes with visual data lineage
- Scheduled jobs and outputs to Amazon S3 and supported data stores
Where it doesn't
- AWS-centered integrations limit its fit outside AWS environments
- Interactive sessions and jobs are billed separately by usage
- No free plan; documentation is the listed support channel
Informatica Data Integration — where it wins
- Combines ETL, ELT, replication and change data capture
- Runs through hosted, cloud or Secure Agent environments
- Connects cloud and on-premises systems with reusable visual mappings
Where it doesn't
- Paid Intelligent Data Management Cloud pricing is consumption-based
- Data Loader offers community support rather than live chat
- Preparation and profiling capabilities are not a central focus
- AWS Glue DataBrew9.1/10 · Paid
A point-and-click AWS service for profiling and transforming data with reusable recipes.
Visit AWS GlueFull verdict → - Informatica Data Integration8.9/10 · Free plan
A broad hybrid integration platform with visual mappings, CDC and free entry plans.
Visit InformaticaFull verdict →
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All data preparation for analytics comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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