Fivetran
Automated data movement platform for any source to any destination
AI-Powered Summary
Fivetran is an automated data movement (ELT) platform that replicates data from over 700 sources to cloud data warehouses and data lakes without requiring users to build or maintain custom pipelines. It is used by data engineering teams at companies ranging from startups to Fortune 500 enterprises, including JetBlue, Autodesk, and National Australia Bank. The platform handles schema management, incremental syncing, and data transformations automatically.
Key Features
What makes Fivetran stand out
Pre-built Connectors
Over 700 ready-to-use connectors for SaaS apps, databases, ERPs, and file sources.
Automated Schema Handling
Automatically detects and adapts to changes in your source data schemas.
Hybrid Deployment
Run data pipelines in your own environment to meet strict security and compliance requirements.
Custom Connectors SDK
Build fully managed connectors for niche or proprietary data sources using a developer SDK.
Data Transformations
Transform raw data into analytics-ready models upon loading using Quickstart data models and dbt.
Managed Data Lake Service
Lands standardized, governed data in your data lake using query-ready open table formats.
REST API
Programmatically manage connectors, users, destinations, and pipelines via a comprehensive REST API.
Data Activations
Push transformed data back to business tools to power operational workflows and reverse ETL.
What's Great
- 700+ pre-built connectors covering SaaS apps, databases, ERPs, and file sources
- Fully managed service with automatic schema drift handling and incremental updates
- Strong security posture with SOC 1/2, HIPAA, GDPR, ISO 27001, PCI DSS, and HITRUST certifications
- Hybrid deployment option allows data processing within your own environment
- Supports custom connector development via Connector SDK for niche data sources
Things to Know
- Usage-based pricing on Monthly Active Rows can become expensive at high data volumes
- Pricing is opaque—most tiers require contacting sales for actual costs
- Limited transformation capabilities compared to dedicated transformation tools; relies heavily on dbt
- Free tier likely very limited in connectors and data volume
Pricing Plans
All Fivetran pricing tiers and features
Volume-based pricing charged by Monthly Active Rows (MAR)
Free
Standard
Enterprise
Business Critical
Real Cost Breakdown
Hidden Costs
- Transformation model runs cost $0.01 each after the first 5,000 free runs per month
- Activation (reverse ETL) features have separate volume-based pricing
- MAR costs vary significantly based on data source — high-volume database replication can be expensive
- Enterprise and Business Critical plans require contacting sales with no published pricing
Cost Saving Tips
- Start with the Free tier to evaluate connectors before committing
- Negotiate an Enterprise License Agreement (ELA) for predictable annual costs at scale
- Reduce sync frequency for non-critical data sources to lower MAR consumption
- Use Fivetran's pricing estimator to model costs before connecting high-volume sources
Fivetran's usage-based pricing makes it accessible for small deployments but can scale to significant costs at enterprise data volumes—ELA negotiations are essential for large organizations.
Price Comparison
Compare Fivetran with similar tools
Fivetran ranks as the 5th most affordable option out of 5 tools, priced 100% below the category average of $445/mo.
Best For
Data teams needing reliable, automated ETL/ELT pipelines at scale
Who Should NOT Use This
- Small teams with only 1-2 simple data sources — The usage-based pricing on Monthly Active Rows can be disproportionately expensive for simple use cases where a basic script or open-source tool like Airbyte would suffice.
- Teams needing real-time streaming with sub-second latency — Fivetran is a batch/micro-batch ELT platform; teams needing true real-time event streaming should consider tools like Kafka or Confluent.
- Budget-conscious startups with unpredictable data volumes — MAR-based pricing makes costs hard to predict when data volumes fluctuate significantly, potentially leading to unexpected bills.
- Teams that need heavy in-pipeline data transformation logic — Fivetran focuses on data extraction and loading with lightweight post-load transformations via dbt; teams needing complex mid-pipeline transformations may prefer tools like Apache Spark or dbt standalone setups.
Competitive Position
The broadest catalog of fully managed, enterprise-grade connectors (700+) combined with hybrid deployment options and comprehensive compliance certifications.
When to Choose Fivetran
- You need a fully managed, zero-maintenance ELT platform with hundreds of pre-built connectors
- Your organization requires enterprise-grade security certifications (SOC, HIPAA, PCI DSS)
- You're replicating data from complex enterprise sources like SAP ERP, Oracle, or Db2
- You want hybrid deployment to keep data processing within your own network
When to Look Elsewhere
- You have a limited budget and only a few data sources—open-source alternatives like Airbyte are more cost-effective
- You need true real-time event streaming rather than batch/micro-batch replication
- You primarily need data transformation rather than data movement
- You want full control over the pipeline code and infrastructure
Strongest alternative: Airbyte
Learning Curve
Prerequisites
Common Challenges
- Understanding MAR-based pricing and predicting costs accurately
- Configuring complex database connectors (e.g., Oracle, SAP) that require specific source-side setup
- Managing schema changes and understanding how Fivetran handles drift in destination tables
- Setting up Hybrid Deployment for organizations with strict network security requirements
Frequently Asked Questions
Common questions about Fivetran
Compare Fivetran
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