Fivetran builds technology to help analysts replicate data into a cloud warehouse. After a five-minute setup, Fivetran replicates all your applications, databases, events and files into a high-performance data warehouse. Our standardized cloud pipelines are fully managed and zero-maintenance. Shaped by the real-world needs of data analysts, Fivetran technology supports agile analytics, enabling data-backed decisions across organizations. We’re focused, transparent and trusted by businesses that run on data.


You can turn on your Fivetran and Optimizely integration in a matter of minutes. Fivetran’s zero-maintenance connector then ETL’s all of your raw Optimizely data into your Data Warehouse, enabling Optimizely users to blend their Optimizely data with data from their other business applications to gain deep insights.

Key Benefits
  • Ask questions that combine data sources. Organizations today use many tools. Fivetran makes it possible to query across disparate applications and databases to gain a comprehensive view of company performance.
  • Up-to-date analytics. Downloading spreadsheets and performing repetitive calculations is both time intensive and error prone. By continually updating data into a warehouse it’s easy to set up standard SQL queries or BI dashboards. Stop arguing over whose data is up to date.
  • Capture historical and deleted data. When Fivetran streams your source data into a warehouse, we do a full historical sync and then archive changes including deletes. Analyze your company data from any point in time.
  • Own your own data. If you use third party software vendors, you don’t own your data. Store everything so you never lose access to information even if you stop using a source application.
  • Ask any question. Many applications and their reporting systems only give you access to standard variables and queries. If you want to drill in deeper or ask more specific questions, you need SQL or a BI tool to query the raw data. Fivetran makes it easy for analysts to ask any question they please.