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Fivetran Logo


United States
< $10m
51 - 200
Open website
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.
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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
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Talkdesk, Shopkeep, DonorsChoose, Sharethrough, Managed by Q, Fast Spring, , etc.
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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.
Analytics & Modeling
Big Data Analytics
Platform as a Service (PaaS)
Data Management Platforms
Application Infrastructure & Middleware
Middleware, SDKs & Libraries
Use Cases
Demand Planning & Forecasting
Supply Chain Visibility
Data Science Services
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.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
  • Devices Layer
  • Robots
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
Number of Case Studies62
Schüttflix's Digital Transformation with Fivetran in the Construction Industry
Schüttflix, a German logistics start-up, aimed to disrupt the traditional construction supply chain by digitizing the industry, which was primarily reliant on pen and paper processes. The company's mission was to enable data-driven decision-making by providing stakeholders with accurate and timely data. The challenge was to build a modern data stack that could tap into key data sources efficiently and reliably. Alexander Rupp, Head of Data and Business Intelligence at Schüttflix, was tasked with evaluating connectors that could meet these requirements.
Lendi's Transformation into a Data-Driven Business with Fivetran
Lendi, an Australian mortgage broker with over $12 billion AUD in home loan settlements, was facing a significant challenge in its data management. The company's business model, which involves offering customers a choice of over 2,000 loan products from more than 40 lenders, relies heavily on delivering the right experience to the right person at the right time on the right digital platform. This requires accurate insights into borrowers' needs and preferences, which in turn requires tapping into behavioral data on third-party engagement platforms such as Facebook, Google, and Bing. However, the data from these platforms were siloed and did not integrate easily. Even when the data could be brought into the same repository, the data structure was often inconsistent, necessitating data cleaning before it could be used. The responsibility of ensuring that stakeholders across the company could analyze and create actionable insights from this third-party data fell to Lendi’s Data Architect, Daniel Deng.
Paytronix Enhances Customer Engagement with Real-Time Data Science via Fivetran and Coalesce
Paytronix, a customer engagement platform for restaurants and small businesses, was facing a significant challenge in managing and deriving insights from its data. The company was dealing with data from multiple sources, running on various databases, and in disparate formats. The data ingestion tool they were using was unreliable and missed many transactions, leading to a lack of trust in the underlying data. Additionally, the company was using a mix of Scala and PySpark jobs for data transformation, which was custom code and handwritten. This toolset was unable to keep up with the growing demands of the business, and a lot of time was spent on maintenance and break-fix support. The company wanted to focus more on experimentation, but the existing system was not conducive to quick proof-of-concept testing and rapid iteration.
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