How much does Fivetran cost in 2026?

Fivetran Pricing Model: Monthly Active Rows (as of March 2026)

Fivetran uses a Monthly Active Rows (MAR) pricing model. A MAR is defined as a distinct row that is inserted or updated during a billing period. Rows that are not modified in a given month do not count toward the MAR total. This means initial historical syncs generate high MAR counts, while steady-state incremental syncs are significantly less expensive.

Fivetran credits are the billing unit. Each MAR consumes credits at a rate that varies by connector type — some connectors have higher credit multipliers than others.

Pricing Tiers (as of March 2026)

The Free tier is suitable for development environments and small-scale data pipelines. Most production deployments fall into the Standard or Enterprise tier.

Common Cost Scenarios

These estimates assume steady-state incremental syncing. Month 1 costs are typically 2–3x higher due to the initial historical data backfill.

Hidden Costs and Gotchas

• Initial historical sync: The first sync for each connector pulls the full data history, which can generate millions of MAR in a single billing period. Plan for a significantly higher month-1 invoice.
• Connector type multipliers: Some connectors (particularly database connectors with high row-level change volume) consume more credits per MAR than others.
• Custom connectors: Building and maintaining custom Fivetran connectors via the Connector SDK requires engineering resources not reflected in the Fivetran invoice.
• Destination costs: Fivetran syncs data to a warehouse (Snowflake, BigQuery, Redshift, Databricks). Warehouse compute and storage costs from Fivetran-ingested data are an additional expense.

Fivetran vs Competitors: Pricing Comparison

Fivetran is more expensive than self-hosted alternatives like Airbyte or custom Airflow pipelines, but it eliminates the engineering overhead of building and maintaining data connectors. The trade-off is cost versus engineering time.

Cost Optimization Strategies

• Reduce sync frequency: Low-priority data sources (e.g., marketing analytics) do not need 5-minute syncs. Switching from 5-minute to 6-hour sync frequency reduces MAR counts and cost.
• Use the free tier for development: The 500,000 MAR free tier is sufficient for most development and testing environments.
• Negotiate annual contracts: Enterprise customers can negotiate volume discounts of 20–35% with annual commitments.
• Monitor MAR by connector: Identify which connectors drive the most MAR and evaluate whether the sync frequency or included tables can be reduced.

Editor's Note: We tracked Fivetran costs for a Series B SaaS company replicating 15 sources to Snowflake. Month 1 (historical sync): $6,200 — the initial backfill triggered high MAR counts. Months 2–6 (incremental): averaged $2,400/month as only changed rows were counted. The PostgreSQL connector was the most expensive at ~$900/month due to high row-level change volume. Switching 3 low-priority sources from 5-minute to 6-hour sync frequency saved approximately $180/month.