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Fivetran

Freemium

Automated data movement platform for analytics, operations, and AI.

Fivetran is a fully managed data movement platform that automates extract-load-transform (ELT) pipelines from more than 700 sources into cloud data warehouses, data lakes, and operational applications. It handles schema drift, incremental syncs, retries, and connector maintenance automatically, allowing data teams to spend less time on pipeline engineering and more time on analytics and AI initiatives. The platform is built around a usage-based pricing model measured in Monthly Active Rows (MAR), with a free tier for low volumes and paid plans for larger workloads.

ELTdata pipelinedata integrationdata warehouseCDCreverse ETLdata activationconnectorsData AnalysisData AggregationData MonitoringAutomated ReportingBusiness AnalysisBI VisualizationanalysissummarizationmonitoringData AnalysisWorkflow Automation
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What is it

A fully managed data movement platform that automates ELT and reverse-ETL pipelines between sources and destinations.

What it can do

Replicate data from 700+ pre-built connectors to warehouses, lakes, and business applications with automated schema handling, incremental syncs, and built-in governance.

Who is it for

Data engineers, analytics teams, and enterprises that need reliable, secure, and low-maintenance data integration at scale.

Key Features

700+ Connectors – Pre-built SaaS, Database, and File Integrations

Pre-built connectors for SaaS applications, databases, event streams, files, and ERP systems, maintained and updated by Fivetran so teams do not write custom extraction code.

Automated Schema Drift – Self-Healing Pipeline Maintenance

Detects and adapts to new tables, columns, and API changes automatically without manual pipeline rewrites.

Change Data Capture – Low-Impact Database Replication

Replicates database changes incrementally with minimal impact on source systems, supporting near-real-time analytics.

Warehouse & Lake Destinations – Multi-Cloud Data Landing

Loads data into Snowflake, BigQuery, Databricks, Redshift, Azure Synapse, and data lakes using open table formats like Iceberg and Delta Lake.

Use Cases

Centralize SaaS Data for Analytics

Move data from Salesforce, HubSpot, NetSuite, Stripe, and other SaaS tools into a cloud warehouse to build unified dashboards and reports.

Replicate Databases to Cloud Warehouses

Use CDC to sync PostgreSQL, MySQL, SQL Server, Oracle, and SAP HANA into Snowflake or BigQuery for analytics without production impact.

Build 360-Degree Customer Views

Combine CRM, marketing, billing, and product data into a single warehouse to power personalized customer experiences.

Power AI/ML Data Pipelines

Deliver clean, fresh data to machine learning models and generative AI applications with reliable scheduling and lineage.

Pricing plans

Frequently Asked Questions

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