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Fivetran vs Hevo
Fivetran and Hevo are both Data Integration & ELTs tools. Here is how they compare on pricing, free plans, AI integrations and platforms, and when each is the better fit.
Side by side
| Feature | Fivetran | Hevo |
|---|---|---|
| Category | Data Integration & ELTs | Data Integration & ELTs |
| Pricing | Free to usage-based | Free to $750/mo |
| Free option | Yes | Not listed |
| AI integrations | Claude, ChatGPT | — |
| Best for | Data engineers, Analytics teams, AI developers | Data teams, Data engineers, Analytics teams |
| Links | Fivetran listingVisit website (opens in a new tab) | Hevo listingVisit website (opens in a new tab) |
Which to choose
Choose Fivetran if
- need access to over 700 pre-built data connectors
- want a managed data lake service supporting Apache Iceberg and Delta Lake
- plan to sync transformed data back into operational SaaS tools
- build AI applications and need integrations with ChatGPT and Claude
- require compliance certifications including SOC 2, HIPAA, and PCI DSS
Choose Hevo if
- want dbt-based transformation modelling integrated into a single interface
- need change data capture to replicate high-volume databases without heavy production loads
- rely on programmatic pipeline management via API and CI/CD control
- prioritise pipeline observability with granular system logs and proactive alerts
Verdict
Fivetran and Hevo both automate data integration and schema drift management for data engineering and analytics teams. Fivetran suits organisations with diverse data stacks that need over 700 connectors, reverse data activations into SaaS tools, or a managed data lake service using Apache Iceberg and Delta Lake. It is also geared towards AI developers, offering ChatGPT and Claude integrations. However, its usage-based costs scale with active monthly row volumes, which can become expensive for high-throughput database replication.
Hevo suits data teams looking for quick, no-code setup that combines extraction, loading, and dbt-based modelling in one interface. It covers over 170 sources and uses change data capture for high-volume databases, alongside API and CI/CD controls. The main trade-off with Hevo is its smaller connector library, and its pricing scales with event volume, requiring careful forecasting for high-update databases.
FAQ
- How do Fivetran and Hevo compare on pricing?
Both platforms use a usage-based pricing model. Fivetran is listed as free to usage-based, with costs scaling by active monthly row volumes. Hevo is listed as free to $750 per month, with pricing that scales by event volume.
- Which tool has more pre-built connectors?
Fivetran provides over 700 fully managed pre-built connectors for SaaS applications, databases, and file systems. Hevo connects with over 170 data sources, and custom sources outside this library require submission or AI configuration.
- How do Fivetran and Hevo handle data transformations?
Fivetran executes scheduled SQL-based transformations directly within target destinations and can sync transformed data back into business applications. Hevo integrates dbt-based transformation modelling and SQL models directly within its pipelines.
- Which platform is better for AI development and data lakes?
Fivetran is explicitly built for AI developers alongside data and analytics teams, offering integrations with ChatGPT and Claude. It also provides a managed data lake service supporting open table formats like Apache Iceberg and Delta Lake, which Hevo does not list.