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Fivetran Analysis

What is Fivetran?

Automated data movement platform for seamless integration

Location
1221 Broadway, Ste 2400, Oakland, California 94612, United States
Employees
1001-5000
Founded
2012
Customer Satisfaction
4.2-4.5
Deployment Type
Hybrid
Implementation Complexity
Complex
Initial Price
$0.01 per model run after 5000 runs

Product Features & Capabilities

  • Automated data pipelines for over 700 sources
  • Real-time data replication for analytics
  • Hybrid deployment options for security needs
  • Managed data lake service for standardized data
  • Custom connectors for niche data sources.

Other Considerations

Trusted by major companies like Pfizer and LVMH; ISO 27001 certified; Handles over 9.1 petabytes of data synced monthly.

Market Position

Fivetran positions itself as a leading player in the data movement industry, specifically recognized for its automated data integration solutions. In the 2023 Gartner Magic Quadrant for Data Integration, Fivetran was named a Challenger, reflecting its strong execution capabilities and comprehensive vision, marking a significant advancement from its previous status as a Niche Player. The company has over 500 connectors, the largest in the industry, which supports a wide range of use cases including AI/ML workloads and operational analytics. Fivetran emphasizes reliability with features like one-minute syncs and a 99.9% uptime guarantee, making it a trusted choice for major clients such as Autodesk and JetBlue. Despite holding an estimated market share of 3.61%, it ranks fourth in the data extraction category, significantly smaller than the market leader, Segment, which holds over 75% of the market share.

Companies Using Product

Oldcastle Infrastructure (https://www.fivetran.com/case-studies/oldcastle-infrastructure-migrates-on-prem-data-to-the-cloud-with-fivetran) DocuSign (https://www.fivetran.com/case-studies/case-study-docusign) Crossmedia (https://www.fivetran.com/case-studies/case-study-crossmedia) Pfizer (https://www.fivetran.com/case-studies/pfizer-speeds-up-clinical-trials-by-unlocking-real-time-data) National Australia Bank (https://www.fivetran.com/case-studies/national-australia-bank-enhances-customer-experiences-and-powers-genai) Raiffeisen Bank International (https://www.fivetran.com/case-studies/raiffeisen-bank-international-uses-real-time-data-to-win-more-customers) Saks (https://www.fivetran.com/case-studies/saks-achieves-data-efficiency-enables-ai-with-fivetran) uShip (https://uship.com) Boulevard LLC (https://boulevardrestaurant.com) Rose Rocket (https://roserocket.com) EPAM Systems Inc (https://epam.com) DoorDash (https://www.doordash.com) Lyft (https://www.lyft.com) Square (https://squareup.com) Robinhood (https://robinhood.com) Monzo (https://monzo.com) Revolut (https://www.revolut.com) Farfetch (https://www.farfetch.com) Deliveroo (https://deliveroo.com) Shopify (https://www.shopify.com) Canva (https://www.canva.com) Atlassian (https://www.atlassian.com) Afterpay (https://www.afterpay.com) Xero (https://www.xero.com)

Company Context --- Company Name: Fivetran; Company Website: https://www.fivetran.com

Key Disadvantages

  • High latency: Fivetran primarily operates on a batch processing model, which may not be suitable for real-time data needs.
  • High and unpredictable costs: Fivetran is considered one of the most expensive options among modern ELT vendors.
  • Limited transformation capabilities: Complex data transformations may require additional tools, as Fivetran's built-in capabilities are not extensive.
  • Poor documentation: Users have reported difficulties in finding information due to a lack of good documentation layout.

Key Advantages

  • Over 300 pre-built connectors for easy integration with various data sources.
  • User-friendly interface requiring little to no coding, suitable for non-technical users.
  • Automation of data extraction and transformation processes, reducing manual intervention.
  • Free plan available, allowing small businesses to start without upfront costs.
  • Integrated scheduling feature for automated data syncs, ensuring up-to-date data availability.
  • Real-time processing with sub-100ms latency for faster insights.
  • More predictable pricing model compared to some competitors.

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