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Fivetran

Reliable ELT pipelines for Data & Analytics teams at scale

Free | Freemium | Paid | Enterprise ⭐⭐⭐⭐☆ 4.4/5 📊 Data & Analytics 🕒 Updated
Visit Fivetran ↗ Official website
Quick Verdict

Fivetran is a cloud-native ELT platform that automates data ingestion and schema management for analytics teams, best suited to analytics engineers and data warehouses at mid-market to enterprise organizations. It emphasizes hands-off connector maintenance, dbt integration, and consumption-based pricing; expect custom-priced paid tiers with a free trial or limited free tier for evaluation.

Fivetran is a managed ELT platform that automatically extracts and loads data from applications, databases, and cloud services into analytics destinations. As a Data & Analytics tool, it focuses on hands-off connectors, automated schema migration, and change-data-capture (CDC) to keep warehouse tables synchronized. Its key differentiator is end-to-end connector maintenance: Fivetran updates and preserves schemas for you, minimizing engineering work. It serves analytics engineers, data teams, and BI teams at startups up to large enterprises. Pricing is consumption-based with a free trial and contact-sales for production tiers.

About Fivetran

Fivetran is a commercial ELT (extract, load, transform) provider founded in 2012 that positions itself as a zero-maintenance data pipeline layer for analytics. Built to remove the ongoing burden of building and maintaining connectors, Fivetran provides fully managed connectors that handle schema changes, retries, and optimized loading patterns. Its core value proposition is predictable, maintainable ingestion: instead of DIY ETL, teams get pre-built connectors plus a usage and connector dashboard, which shortens time-to-analytic-value and reduces ops overhead for Data & Analytics teams.

Key features include an extensive connector catalog and automatic schema management: Fivetran advertises 300+ prebuilt connectors that cover SaaS apps, databases, and event stores; connectors perform incremental syncs and support log-based CDC for many relational sources. The platform's automatic schema migration detects column additions or type changes and applies safe updates to destination tables, preserving historical data. Fivetran integrates natively with transformation tooling — notably dbt — so teams can run transformations after load; this includes orchestrating transformations in the destination or calling dbt Cloud. Security and compliance are explicit: Fivetran publishes SOC 2 Type II attestation, encryption in transit and at rest, and offers role-based access and audit logs for enterprise governance.

Pricing is consumption-driven and requires contacting sales for production usage. Fivetran provides a Free tier or trial for evaluation (limited connectors and credits), while production plans are billed based on usage metrics (Monthly Active Rows or other consumption units), with custom pricing for Business and Enterprise accounts. Enterprise plans add features like SSO, dedicated support SLAs, VPC/Private networking options, and custom contractual terms. Because Fivetran’s server-side costs scale with ingestion volume and connector complexity, most companies move from a trial/free evaluation to custom-priced subscriptions as data volume increases.

Fivetran is used by analytics engineers and BI teams to centralize reporting and power data products. Example real workflows: a Senior Analytics Engineer using Fivetran to ingest 30+ SaaS sources into Snowflake for a company-wide 360° customer view, or a Revenue Operations Manager using the platform to consolidate Stripe and HubSpot data for weekly cohort analysis. It’s commonly paired against competitors like Stitch or Matillion; compared to extraction-first tools, Fivetran emphasizes turnkey connector maintenance and enterprise governance features.

What makes Fivetran different

Three capabilities that set Fivetran apart from its nearest competitors.

  • Maintains connector code and schema migrations centrally, removing per-tenant connector upkeep.
  • Usage-based billing surfaced as Monthly Active Rows (MAR) with per-connector consumption visibility in the dashboard.
  • Hosted orchestration that integrates with dbt Cloud and lets customers run transformations post-load.

Is Fivetran right for you?

✅ Best for
  • Analytics engineers who need turnkey connectors and schema handling
  • Data teams who need centralized ELT for warehouses like Snowflake
  • BI teams who need consistent, low-maintenance source ingestion
  • Enterprises who require SOC 2 compliance and audit logging
❌ Skip it if
  • Skip if you need on-prem agent-only connectors or fully offline-only deployment.
  • Skip if you require fixed, per-seat flat pricing at tiny data volumes.

✅ Pros

  • Wide connector coverage (~300+), including many SaaS APIs and databases
  • Automatic schema migrations and CDC reduce manual pipeline maintenance
  • Strong enterprise security posture (SOC 2 Type II, encryption, RBAC)

❌ Cons

  • Production pricing is typically custom and can be expensive at high ingestion volumes
  • Less flexible for bespoke transformations in-flight compared with full ETL code approaches

Fivetran Pricing Plans

Current tiers and what you get at each price point. Verified against the vendor's pricing page.

Plan Price What you get Best for
Free / Trial Free Limited evaluation credits, small connector set, time-limited trial Evaluating connectors and initial tests
Starter Custom Small monthly active rows quota, basic support, limited transformations Small teams with modest ingestion needs
Business Custom Higher consumption quota, SSO, scheduled syncs, priority support Growing analytics teams with many sources
Enterprise Custom Unlimited connectors, enterprise SLAs, VPC/Private networking options Large orgs needing governance and custom contracts

Best Use Cases

  • Senior Analytics Engineer using it to ingest 30+ SaaS sources into a Snowflake warehouse
  • Revenue Operations Manager using it to centralize Stripe and HubSpot for weekly cohort reports
  • Data Platform Lead using it to reduce ETL maintenance time by automating schema drift handling

Integrations

Snowflake Google BigQuery Amazon Redshift

How to Use Fivetran

  1. 1
    Sign up and verify account
    Click 'Get started' on the Fivetran homepage, complete the signup flow and verify your email. Success looks like landing in the Fivetran dashboard with access to the Connectors and Destinations pages.
  2. 2
    Add a destination warehouse
    From the dashboard click 'Add Destination', select Snowflake, BigQuery or Redshift, enter connection credentials and test connection. Success is a green 'Connection OK' and a destination listed with status 'Ready'.
  3. 3
    Create and configure a connector
    Click 'Add Connector', choose your source (e.g., Salesforce), authenticate the source, select objects/tables and set sync frequency. Success is seeing the connector in the dashboard with an initial 'Pending' sync then 'Active' status.
  4. 4
    Run initial sync and validate
    Trigger the initial sync from the connector page, monitor logs in 'Sync History', then validate rows in your destination warehouse. Success looks like completed sync with expected table rows and schema in the destination.

Fivetran vs Alternatives

Bottom line

Choose Fivetran over Stitch if you require broader enterprise connectors, centralized schema migrations, and tighter governance integration.

Head-to-head comparisons between Fivetran and top alternatives:

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Frequently Asked Questions

How much does Fivetran cost?+
Costs vary; paid plans are custom-priced based on usage. Fivetran bills primarily on consumption metrics (such as Monthly Active Rows or similar units) and offers a free trial for evaluations. Production pricing is provided via sales, with Business and Enterprise tiers adding SSO, SLAs, VPC options, and priority support. Expect per-connector and volume considerations when estimating monthly spend.
Is there a free version of Fivetran?+
Yes — a free trial/evaluation is available. Fivetran provides a limited free tier or time-limited trial that includes evaluation credits and access to a subset of connectors. The free tier is designed for testing connectors, verifying destination setup, and running initial syncs; for ongoing production ingestion you typically move to a paid, consumption-based plan.
How does Fivetran compare to Airbyte?+
Fivetran is managed and closed-source; Airbyte is open-source with self-host options. Fivetran maintains connectors centrally, offers automated schema migrations, and provides enterprise compliance (SOC 2), whereas Airbyte emphasizes extensibility and self-host control with different support and pricing trade-offs.
What is Fivetran best used for?+
Best for automated ELT into cloud warehouses for analytics teams. Fivetran excels at ingesting many SaaS and database sources with minimal maintenance, preserving schema history and enabling downstream dbt-led transformations. It's particularly suited to teams that prioritize consistent, low-maintenance pipelines and enterprise governance features.
How do I get started with Fivetran?+
Start with the free trial and add a destination, then a connector. Sign up for the trial, add your warehouse as a Destination, create a Connector for a source like Salesforce, run the initial sync, and validate tables in your warehouse. Use the dashboard's Sync History and Logs to troubleshoot and confirm data arrival.

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