Fivetran is an automated data movement platform that syncs data from applications, databases, and files into cloud destinations. It helps teams centralize reliable data for analytics, AI, and operational workflows.
Fivetran is a Data Integration platform that automates data movement from 700+ sources into cloud warehouses, lakes, and business applications, with pricing based on consumption (Monthly Active Rows) and a free tier available with no credit card required. It's built for data teams, analytics engineers, and enterprise organizations needing reliable, governed pipelines to power analytics, operations, and AI initiatives.
Founded in 2012 and headquartered in Oakland, California, Fivetran has grown into one of the most widely adopted ELT (Extract, Load, Transform) platforms in the modern data stack, trusted by enterprises like Pfizer, National Australia Bank, and Coca-Cola. The platform supports 900+ sources and destinations spanning SaaS applications (Salesforce, HubSpot, Stripe), databases (PostgreSQL, MongoDB, Oracle, MySQL), ERPs (SAP, NetSuite, Workday), and file systems (Amazon S3). Customer outcomes published on the site include Pfizer reducing clinical trial data processing from hours to minutes, NAB cutting data costs by 50% while boosting ML performance by 30%, and Coke One North America serving real-time SAP data to roughly 35,000 users.
Key capabilities include fully managed pipelines with automated schema drift handling, change data capture (CDC) replication for databases, SQL-based transformations that run in the destination warehouse, and the new Managed Data Lake Service that delivers data into open table formats like Apache Iceberg and Delta Lake. Fivetran also offers a Connector SDK for building custom pipelines for niche sources, hybrid deployment options for sensitive data, and enterprise-grade governance and security features including SOC 2, HIPAA, and GDPR compliance.
Based on our analysis of 870+ AI tools, Fivetran sits at the premium end of the ELT category compared to alternatives like Airbyte (open-source first), Stitch (simpler/cheaper), and Hevo Data (mid-market focused). Compared to other data integration tools in our directory, Fivetran's strength lies in connector breadth, automated maintenance, and enterprise readiness — but its consumption-based pricing can become expensive at high data volumes, making it best suited for organizations that prioritize reliability and engineering time savings over raw cost.
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Fivetran maintains 700+ source connectors and 900+ total source/destination integrations across SaaS apps, databases, ERPs, and file systems. Each connector is fully managed, meaning Fivetran handles API changes, schema drift, and authentication updates without requiring engineering work from customers.
Log-based Change Data Capture replicates databases like PostgreSQL, MySQL, Oracle, MongoDB, and Db2 with minimal source impact. Fivetran's SAP and ERP replication is enterprise-grade, used by companies like Coca-Cola to deliver real-time SAP data to roughly 35,000 internal users.
A newer offering that delivers data directly into open table formats like Apache Iceberg and Delta Lake, helping teams standardize their lakehouse architecture. This reduces duplication and infrastructure costs by eliminating the need for separate landing zones and conversion jobs.
Fivetran Transformations runs SQL-based jobs directly inside your destination warehouse on a managed schedule, with optional integration for dbt Core projects. This keeps transformation logic close to the data and avoids the need for separate orchestration tools like Airflow for basic ELT pipelines.
Hybrid Deployment lets customers run data processing within their own VPC or on-premises while using Fivetran's managed control plane, ideal for sensitive or regulated data. Combined with SOC 2 Type II, HIPAA, GDPR, ISO 27001 certifications and customer-managed keys, this makes Fivetran viable for the most security-conscious enterprises.
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Consumption-based (MAR)
Consumption-based (MAR) with premium uplift
Custom pricing
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Fivetran is positioning itself as 'the data foundation for AI' with messaging around 'automated data for autonomous agents.' Recent platform additions highlighted on the site include the Managed Data Lake Service supporting Apache Iceberg and Delta Lake open table formats, a Connector SDK for building custom pipelines, expanded Hybrid Deployment options, and an MIT research report on data readiness for AI. The site also emphasizes new customer outcomes including Pfizer's clinical trial acceleration and NAB's 50% data cost reduction with 30% ML performance gains.
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