Fivetran
Financials
Estimates*
USD | 2019 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Revenues | 15.0m | 67.5m | 101m | 101m |
% growth | - | - | 50 % | - |
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
$120k | Seed | ||
$3.4m | Seed | ||
* | $15.0m | Series A | |
$44.0m | Series B | ||
$100m Valuation: $1.2b 80.0x EV/LTM Revenues | Series C | ||
$565m Valuation: $5.6b | Series D | ||
* | $125m | Debt | |
Total Funding | €661m |
Related Content
Recent News about Fivetran
EditFivetran is a technology startup that provides an automated data movement platform. This platform is designed to help businesses, ranging from startups to Fortune 500 companies, manage their data more effectively. The platform extracts, loads, and transforms data, a process often referred to as ELT. This means it takes data from various sources, organizes it, and then changes it into a format that can be easily analyzed or used in operations.
Fivetran's platform is particularly beneficial for data engineers, as it automates the most time-consuming parts of the ELT process. This allows these professionals to focus on more impactful projects, while maintaining confidence in their data pipelines.
The platform offers over 400 pre-built, no-code source connectors, making it easy to connect various data sources and move data to target destinations. It also handles updates, data normalization, and schema drift (changes in the structure of the data) automatically.
Fivetran also prioritizes security, offering automated and customizable security features. These include compliance with various data protection regulations like GDPR and HIPAA, as well as secure deployment and flexible connection options.
The company operates in the growing market of cloud-based data management and analytics. Its business model is likely based on a subscription or usage-based pricing model, where customers pay for the level of service they need.
Keywords: Data Movement, Automated Platform, ELT Process, Data Engineers, Pre-Built Connectors, Data Normalization, Schema Drift, Security Features, Cloud-Based Data Management, Subscription Model.