Talend vs Evidence

Compare Talend and Evidence on pricing, features, platforms, and ratings — both Business Intelligence tools, subscription vs Open Source / Freemium pricing to…

At a Glance

 TalendEvidence
Primary categoryBusiness IntelligenceBusiness Intelligence
RatingNot documentedNot documented
Pricing modelsubscriptionOpen Source / Freemium
Starting priceNot documentedFree (self-hosted); Evidence Cloud from $15/user/month
Free planNot documentedYes
Free trialYesNot documented
PlatformsWebWeb
Team collaborationNot documentedNot documented
AI featuresYesYes
Public APIYesYes

Pricing Compared

Starting price reflects the lowest paid tier, not the full cost for every team size or usage level.

Talend

Talend Open Studio (legacy open-source) — Free N/A
Talend Data Fabric (commercial) — Custom quote annual subscription

Evidence

Open Source (Self-Hosted) — Free N/A
Team — $15/user/month monthly
Pro — $25/user/month monthly
Enterprise — Custom annual (quote-based)

Pros & Cons

Talend

Pros

  • Mature platform with nearly two decades of enterprise data integration experience
  • Broad connector library reduces custom integration development work
  • Combines integration, data quality, and governance in one platform
  • Backed by Qlik's broader analytics and data ecosystem after acquisition
  • Strong roots in open-source give it a large, established user community

Cons

  • Pricing is not transparent and requires a sales conversation
  • Steeper learning curve than lightweight, modern ELT-only tools
  • Post-acquisition roadmap and branding changes have created some uncertainty for existing customers
  • Can be resource-intensive to deploy and maintain compared to cloud-native alternatives
  • Best suited to larger enterprises, which can make it overkill for small teams

Evidence

Pros

  • Reports are version-controlled as code, enabling Git-based review, diffing, and deployment workflows familiar to engineering teams
  • Free and open source to self-host with no artificial feature limits on the core framework
  • Templated pages eliminate manual duplication when building many similar reports across regions, products, or customers
  • Designed for embedding analytics into customer-facing products, not just internal dashboards

Cons

  • Requires comfort writing SQL and Markdown; not accessible to non-technical business users who want pure drag-and-drop reporting
  • Smaller ecosystem and community than established BI incumbents like Tableau, Looker, or Power BI
  • Evidence Cloud pricing is per-user, which can add up for larger analytics teams
  • AI features are metered via credits, adding a variable cost dimension beyond the base subscription

Use Cases

Talend

  • Enterprise data warehousing — Consolidates data from many operational systems into a central cloud data warehouse for analytics.
  • Data quality and compliance — Cleanses and governs customer and operational data to meet regulatory and audit requirements.
  • Application and API integration — Synchronizes data between business applications and internal or external APIs.

Evidence

  • Internal analytics for lean data teams — A small analytics engineering team builds and maintains a full internal reporting suite using the same Git workflow they already use for data pipeline code.
  • Customer-facing embedded analytics — A SaaS company embeds Evidence-built reports directly into its product to give customers self-service analytics without building a custom dashboard from scratch.
  • Automated multi-entity reporting — An organization uses templated pages to automatically generate a separate performance report for every region, store, or account from a single report definition.

Read the full Talend review · Read the full Evidence review