Suppliers > United States > Fivetran


Fivetran Logo
HQ Location
United States
Year Founded
Company Type
< $10m
51 - 200
Twitter Handle
Company Description
FiveTran offers integrations built and online data analysis services Integrations for data analysts. Their technology is shaped by the real-world needs of data analysts and supports agile analytics, enabling data-backed decisions across organizations. Fivetran began with a realization: For modern companies using cloud-based software and storage, traditional ETL tools badly underperformed, and the complicated configurations they required often led to project failures.

Fivetran fully automated connectors sync data from cloud applications, databases, event logs and more into users' data warehouse. Its integrations are built for analysts who need data centralized but don’t want to spend time maintaining their own pipelines or ETL systems. The company delivers its services via spreadsheet function.
IoT Solutions
Fivetran helps analysts replicate data into a cloud warehouse.
We make replication effortless
Fivetran handles 100% of your pipeline maintenance and setup.

- Built for analysts, approved by engineers.
- Replicate everything, with zero configuration and schemas designed for analytics. Eliminate engineering busywork while empowering your analysts to prove value.
- Five-minute setup. 10 clicks and you’re syncing data into your warehouse.
- Ready-to-query data. We prep your data so you can run analytics instantly:
- Support for modern cloud warehouses
- Built to scale
- Next-level enterprise security
Key Customers
Talkdesk, Shopkeep, DonorsChoose, Sharethrough, Managed by Q, Fast Spring, , etc.
IoT Snapshot
Fivetran is a provider of Industrial IoT platform as a service (paas), application infrastructure and middleware, and analytics and modeling technologies, and also active in the buildings, and transportation industries.
Technology Stack
Fivetran’s Technology Stack maps Fivetran’s participation in the platform as a service (paas), application infrastructure and middleware, and analytics and modeling IoT Technology stack.
  • Devices Layer
  • Robots
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
  • Cloud Layer
  • Platform as a Service (PaaS)
    Infrastructure as a Service (IaaS)
  • Application Layer
  • Functional Applications
  • Supporting Technologies
  • Analytics & Modeling
  • Application Infrastructure & Middleware
  • Cybersecurity & Privacy
  • Networks & Connectivity
Technological Capability:

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