Head-to-head · ETL Software
Informatica Data Integration vs Talend Data Fabric
Informatica Data Integration leads on 1 check, Talend Data Fabric on 0, and 3 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreInformatica Data Integration · 9.3/10
- Free planonly Informatica Data Integration
Informatica Data Integration scores higher on our rubric for etl software: 9.3 against 9.1 out of 10; our editors rank them #2 and #3.
Informatica Data Integration offers free plan; Talend Data Fabric doesn't.
Informatica Data Integration is the better fit for enterprise hybrid ETL and ELT teams. Talend Data Fabric is the better fit for governed enterprise data integration.
- Informatica Data Integration fits best
Enterprise hybrid ETL and ELT teams
- Talend Data Fabric fits best
Governed enterprise data integration
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Side by side
| Feature | Informatica Data Integration 9.3/10 Visit ↗ | Talend Data Fabric 9.1/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.3 | 9.1 |
| Ranking | #2 in ETL Software | #3 in ETL Software |
| Best for | Enterprise hybrid ETL and ELT teams | Governed enterprise data integration |
| Pricing model | Free plan + paid | Paid |
| Starting price | — | Pricing on request |
| Free plan | ✓ (best) | — |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web, Windows | Web |
| Support | Live chat, Phone, Community, Docs | Docs |
| Compliance | SOC 2, ISO 27001, HIPAA | SOC 2, ISO 27001, GDPR, HIPAA |
| Integrations | 10 integrations | 15 integrations |
| Built for | Mid-market, Enterprise | Mid-market, Enterprise |
| Features Informatica Data Integration 3/3 · Talend Data Fabric 3/3 | ||
| Incremental loading | ✓ | ✓ |
| Change data capture | ✓ | ✓ |
| Custom code transforms | ✓ | ✓ |
| Specs | ||
| Deployment | Hybrid | Hybrid |
| Source connectors | Not checked yet | Not checked yet |
| Destination connectors | Not checked yet | Not checked yet |
| Transformation mode | Mixed | Mixed |
| Our review | ||
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| Our verdict | Informatica Data Integration is a cloud data integration platform for enterprise data teams working across cloud applications, databases, flat files and on-premises systems. It supports ETL and ELT pipelines, data replication, change data… Read the review → |
Talend Data Fabric is a client-managed data integration and governance platform from Qlik. It brings together ingestion, transformation, mapping, data quality, data integrity, governance, Trust Score assessment, and application or API… Read the review → |
Strengths and trade-offs
Informatica Data Integration — where it wins
- Supports ETL, ELT, CDC, replication and schema-change handling
- Combines hosted, cloud and Secure Agent runtimes
- Broad connectors for databases, warehouses and SaaS applications
Where it doesn't
- Paid pricing is consumption-based and requires a quote
- Some free-plan support is limited to community support
- Advanced capabilities may require more technical implementation effort
Talend Data Fabric — where it wins
- Combines ingestion, transformation, quality, governance, and application integration
- Supports batch, real-time, incremental movement, and log-based CDC
- Offers reusable pipelines, connectors, custom code, and dynamic schemas
Where it doesn't
- Pricing requires contact with sales
- No free plan is available
- Client-managed deployment can require greater internal administration
- Informatica Data Integration9.3/10 · Free plan
A hybrid-ready platform for enterprise ETL, ELT, CDC and orchestration.
Visit InformaticaFull verdict → - Talend Data Fabric9.1/10 · Pricing on request
A broad, governed platform for complex batch, real-time, and hybrid data environments.
Visit TalendFull verdict →
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- Informatica Data Integration vs Google Cloud Data Fusion
- Informatica Data Integration vs Matillion Data Productivity Cloud
- Talend Data Fabric vs Qlik Talend Cloud
All ETL software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







