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Fivetran is an automated data movement platform that centralizes data from hundreds of sources into cloud data warehouses, lakes, and databases. It simplifies and accelerates data integration with pre-built, zero-maintenance pipelines, enabling teams to focus on analytics, AI, and business intelligence rather than on engineering.

5.0
Added
2025-08-14
Price type:
Freemium
Monthly traffic:
381.6K

Fivetran Overview

Fivetran is a leading automated data movement platform designed to make access to data as simple and reliable as electricity. It empowers organizations of all sizes, from startups to global enterprises, to centralize their data, modernize their infrastructure, and power innovation. By automating the most time-consuming parts of the ELT (Extract, Load, Transform) process, Fivetran allows data teams to accelerate insights, optimize operations, and drive data-driven decisions. The platform has recently expanded its capabilities by acquiring Census, the leader in Reverse ETL, creating a comprehensive solution for the entire data movement lifecycle.

How to use Fivetran

Using Fivetran is designed to be a straightforward, low-code experience. The process typically involves these steps:
1. Sign Up and Connect: Start with a free trial. In the Fivetran dashboard, you begin by selecting a destination, such as a cloud data warehouse (e.g., Snowflake, BigQuery, Redshift) or a data lake.
2. Choose Your Sources: Browse Fivetran's extensive library of over 700 pre-built connectors. Select the sources you want to sync, which can include SaaS applications (like Salesforce, Google Ads), databases (like PostgreSQL, MongoDB), ERPs (like SAP), and file systems.
3. Authorize and Configure: Follow the simple, step-by-step setup guides to authorize Fivetran to access your data sources. Configuration is minimal; Fivetran handles API changes, schema drift, and idempotency automatically.
4. Start Syncing: Once configured, Fivetran begins the initial historical sync, moving all your historical data to the destination. After that, it automatically performs incremental updates to keep your data fresh and in real-time.
5. Transform and Analyze: With raw data loaded into your warehouse, you can use Fivetran's integrated transformation tools (including dbt Core™) or other solutions to model the data for analytics, AI model training, or business intelligence dashboards.

Core Features of Fivetran

  • Automated Data Pipelines: Zero-maintenance, self-healing pipelines that automatically adapt to schema and API changes from sources, ensuring data flows without interruption.
  • 700+ Pre-built Connectors: An extensive library of fully managed connectors for databases, SaaS apps, ERPs, events, files, and more, eliminating the need for custom coding.
  • Enterprise-Grade Security: Robust security features including SOC 2, ISO 27001, HIPAA, and GDPR compliance, column hashing, role-based access control (RBAC), and private networking options to keep data secure in transit and at rest.
  • Scalability and Performance: Built to handle massive data volumes, syncing petabytes of data and trillions of rows per month with high throughput and reliability.
  • Integrated Transformations: Seamlessly orchestrate data transformations post-load using SQL-based tools like dbt Core™, allowing for analytics-ready data models.
  • Reverse ETL with Census: Move enriched, modeled data from the warehouse back into operational applications (like CRMs and marketing platforms) to power business teams with actionable insights.
  • Developer-Friendly REST API: A comprehensive REST API allows for programmatic management of connectors, users, and permissions, enabling seamless integration into existing data workflows and CI/CD processes.
  • Connector SDK: For niche or in-house data sources, the Connector SDK allows developers to build their own fully managed connectors on the Fivetran platform.

Use Cases for Fivetran

Fivetran serves as the foundational data infrastructure for a wide range of applications across various industries.
Powering AI and GenAI: Companies like HubSpot use Fivetran to centralize data from disparate systems, creating a reliable foundation for training AI/ML models on employee performance and other business metrics.
Building Customer 360 Profiles: Retail and CPG companies like Nando's leverage Fivetran to consolidate customer data from sales, marketing, and support systems into a single view, enabling personalized marketing and improved customer service.
Accelerating Business Intelligence: Organizations like Dropbox have cut data ingestion and reporting time from weeks to minutes, allowing analysts to deliver insights to stakeholders much faster.
Saving Engineering Resources: By automating data integration, companies like Okta have saved thousands of engineering hours, freeing up their technical teams to focus on core product development instead of building and maintaining brittle data pipelines.
Database Replication: Reliably and efficiently replicate data from production databases to a data warehouse for analytics without impacting the performance of the source systems.

Advantages of Fivetran

The primary advantage of Fivetran is its ability to radically simplify and automate data integration. It saves immense amounts of time and engineering resources that would otherwise be spent on building and maintaining custom pipelines. Its reliability and ability to automatically handle schema changes mean that data is always available and accurate for decision-making. The platform's security and compliance features make it a trusted choice for enterprises in regulated industries. With the addition of Reverse ETL, Fivetran now offers a complete, end-to-end data movement solution, from source ingestion to operational activation.

Pricing and Plans

Fivetran operates on a freemium and usage-based pricing model, designed to scale with your needs. There is a Free Plan that allows you to get started and sync a limited volume of data at no cost. For larger needs, paid plans are based on consumption, specifically the number of 'monthly active rows' (MARs) – the number of unique primary keys moved from source to destination each month. This model means you only pay for the data you actively use. The price per row decreases as your data volume increases, making it cost-effective at scale. For detailed pricing information and to estimate costs, it is recommended to visit the official Fivetran pricing page.

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Traffic

Latest traffic

Monthly visits381.6K
Avg visit duration2:40
Pages per visit6.20
Bounce rate41.3%

Status

Falling-9.3%vs previous month
Updated at 2026-06-15

Monthly traffic trend

  • 2025-9: 403.6K
  • 2026-1: 346.0K
  • 2026-2: 394.6K
  • 2026-3: 459.4K
  • 2026-4: 420.9K
  • 2026-5: 381.6K

Geography

Top 5 countries / regions

  • 🇺🇸United States
    58.2%
  • 🇮🇳India
    16.9%
  • 🇦🇺Australia
    12.9%
  • 🇨🇦Canada
    7.0%
  • 🇬🇧United Kingdom
    5.0%

Traffic sources

Source typePercentage
Direct
77.6%
Referral
14.6%
Email
7.8%
Total
100%
Direct77.6%
Referral14.6%
Email7.8%

Top keywords

KeywordCost per click
fivetran$14.84
fivetran careers$4.29
fivetran pricing$31.09
instant data scraper$2.46
outscraper$6.64

Fivetran Videos on YouTube

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