
Automated data integration and ELT
Visit WebsiteTL;DR - Fivetran
- ELT data replication
- Sync data to your warehouse
- 300+ pre-built connectors
Pricing: Paid only
Best for: Enterprises & pros
4.4/5 across review platforms
Pros & Cons
Pros
- Best data integration
- Many connectors
- Fully managed
- Good reliability
- Enterprise ready
Cons
- Very expensive
- Per-row pricing
- Costs unpredictable
- Limited transformations
- Vendor lock-in
Ratings Across the Web
4.4(1,020 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
Automated data pipelinesPre-built connectorsSchema migrationIncremental updatesData transformationCompliance features
Pricing Plans
Free TrialFree
Free
500K MAR
- 5K model runs/mo
- Basic connectors
- Unlimited users
Standard
$500/month
1M MAR
- 15-min syncs
- 700+ connectors
- dbt Core
- REST API
Enterprise
$667/month
1M MAR
- 1-min syncs
- Enterprise connectors
- VPN tunnels
- SCIM
Business Critical
$1,067/month
1M MAR
- Customer-managed keys
- PCI DSS Level 1
- Private networking
What is Fivetran?
Fivetran moves data from sources to warehouses automatically. Connect your tools, data flows to your warehouse-ELT that handles the extraction and loading so you can focus on transformation.
The connector catalog is extensive. Updates happen automatically. Schema changes are handled gracefully.
Data teams wanting reliable data movement without building pipelines choose Fivetran for managed ELT.
Reviews
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Fivetran FAQ
Is Fivetran free?
Free tier with limited MAR (Monthly Active Rows). Paid plans based on usage. Generally expensive for enterprise features.
What is Fivetran?
Fivetran is automated data integration. Sync data from apps and databases to your warehouse. EL in ELT - handles extraction and loading.
Fivetran vs Airbyte?
Fivetran is managed and more reliable. Airbyte is open source and cheaper. Fivetran for enterprise; Airbyte for budget-conscious teams.
How does Fivetran pricing work?
Based on Monthly Active Rows (MAR). Rows that change each month count. Can be expensive for high-volume data sources.
Source: fivetran.com