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Fivetran

Fivetran

Effortlessly centralise all the data you need so your team can deliver better insights, faster.

Visit website (opens in a new tab)1 view · listed Oct 2026

Overview

Fivetran is an automated data movement and integration platform designed to replicate, manage, and transform data from diverse sources into data warehouses, data lakes, and target applications. It connects SaaS applications, databases, ERPs, files, and event streams directly to centralized destinations, enabling real-time and scheduled data ingestion without manual pipeline building.

The platform is built for data engineering, analytics, operations, and AI teams that require reliable data pipelines. It automates schema drift management, continuous data replication, and SQL-based transformations, ensuring downstream analytics and artificial intelligence applications operate on accurate and structured context.

Fivetran also provides a managed data lake service supporting open table formats like Apache Iceberg and Delta Lake. By decoupling storage and compute, it enables organizations to standardize data infrastructure, reduce ingestion overhead, and maintain control over sensitive datasets across multi-cloud environments.

Key features

  • Automated data connectors: Provides over 700 fully managed pre-built connectors for SaaS applications, databases, and file systems with automated schema migration.
  • Managed data lake service: Delivers incoming data into open table formats such as Apache Iceberg and Delta Lake on cloud storage destinations.
  • SQL transformations: Executes scheduled SQL-based transformations directly within target destinations to prepare data for downstream consumption.
  • Data activations: Syncs transformed data from central warehouses and lakes back into operational SaaS tools and business applications.
  • Security and governance: Offers column hashing, private network configurations, role-based access control, and compliance certifications including SOC 2, HIPAA, and PCI DSS.

Pros and cons

Pros

  • Eliminates manual pipeline development and maintenance through fully automated schema updates and self-healing pipelines.
  • Supports open table formats and decoupled storage-compute architecture to minimize vendor lock-in.
  • Broad coverage of pre-built source connectors and activation destinations.

Cons

  • Ingestion costs scale with active monthly row volumes, which can become expensive for high-throughput database replication.
  • Customization options for pipeline logic are limited compared to custom-coded ingestion frameworks.

Integrates with AI

Connect Fivetran to AI assistants and agents.

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Best for

  • Data engineers
  • Analytics teams
  • AI developers

Screenshots

  • Fivetran screenshot 1