Fivetran
Effortlessly centralize data for faster insights.
Fivetran is an automated data movement platform that centralizes data from over 700 sources, enabling teams to deliver insights faster and optimize operations. It supports secure, reliable data transfer to data warehouses and lakes, facilitating data-driven decisions.
Overview
Fivetran is an automated data movement platform designed to effortlessly centralize all the data needed for better insights and faster decision-making. It caters to a wide range of users, from start-ups to global enterprises, unlocking innovation by optimizing operations and powering data-driven decisions.
Key features of Fivetran include the ability to automatically and securely move data from over 700 sources, such as SaaS applications, databases, ERPs, and files, to various data storage solutions like data warehouses and data lakes. The platform offers high-performance pipelines that ensure reliable data movement and supports hybrid deployment to meet specific security needs.
Fivetran is particularly beneficial for organizations looking to centralize data from niche sources with fully managed pipelines and transform data upon load into production-ready tables using Quickstart data models. This scalability and ease of use make it an ideal choice for teams aiming to enhance their data capabilities.
With Fivetran, companies like Jetblue, Autodesk, Pitney Bowes, and National Australia Bank have achieved significant advancements in data management, including real-time database replication and improved machine learning performance.
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Pricing Plans
Visit Pricing PagePricing Model: subscription - custom pricing
View detailed pricing information →Pros (8)
- Effortlessly centralize all the data needed for better insights, faster.
- Unlocks innovation by accelerating insights and optimizing operations.
- Automatically and reliably moves data from 700+ sources.
- Scales to fit evolving data needs.
- Offers easy-to-use Hybrid Deployment capability for security needs.
- Lands standardized, governed data in data lakes using query-ready open table formats.
- Provides fully managed pipelines for niche sources.
- Transforms data upon load into production-ready tables with Quickstart data models.
Cons (1)
- Limited security compliance information
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