Fivetran
Fully managed ELT pipelines that move data from 700+ sources into your warehouse with no maintenance.
About
Fivetran is a fully managed, no-code ELT platform that extracts data from SaaS apps, databases, and event streams, loads it into cloud warehouses and lakes, and keeps schemas in sync automatically. It handles the unglamorous work — schema drift, API changes, retries, incremental syncs — so data teams spend less time babysitting pipelines. Transformations happen in the warehouse, typically with dbt. In June 2026 Fivetran completed its all-stock merger with dbt Labs, combining ingestion and transformation under one company (operating as Fivetran + dbt Labs, led by CEO George Fraser and President Tristan Handy); both products still run independently for now. Pricing is usage-based on Monthly Active Rows (MAR) per connection, with a free tier up to 500K MAR/month — costs scale fast with volume and connection count, and real-time syncs are limited (batch syncs run every 5–60 minutes on standard plans). Customers named in comparisons include OpenAI, Canva, Spotify, and Pfizer.
What it can do
- 700+ prebuilt source connectors; automated schema migration; incremental syncs; dbt-compatible transformation layer; Connector SDK (Python) for custom sources; SOC 1/2, ISO 27001, HIPAA, GDPR compliance.
Setup
Sign up, pick a destination warehouse, add a source connector, and Fivetran starts syncing — small setups (1–3 sources) typically run within a few hours.
Prerequisites
A cloud data warehouse or lake as the destination; source credentials with read access.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Pricing model (MAR per connection, free 500K MAR tier) corroborated across three independent comparison sources.; Connector count reported as 700+ sources/destinations by vendor comparisons; destination list (Snowflake, BigQuery, Redshift, Databricks) provider-documented.; Fivetran + dbt Labs merger (announced Oct 2025, completed Jun 2026, CEO George Fraser / President Tristan Handy) confirmed by dbt Labs official blog and press.; Limitations honestly disclosed: usage-based cost scaling, batch-only syncs (5-60 min), no native transformations.; Company-reported claims flagged: customer names (OpenAI, Canva, Spotify, Pfizer) from comparison sites, not independently verified..
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.