FME’s data conversion and integration platform includes built-in support for many commonly used web-based applications and services which enable users to connect directly to their data from FME workflows.
For cloud applications not supported natively, FME’s customizable transformers allow you to define connections to any web-based application or service with an API. Once a connection to any cloud application has been established, FME has advanced tools for reading, parsing, manipulating and writing JSON - the language of the web, sensors and the internet of things.
Connect cloud and on-prem systems and integrate data with FME’s support for 345+ formats, including those of commonly used on-premises applications and databases such as CSV, Excel, XML, Oracle, MS SQL Server, MySQL, PostgreSQL, and many more.
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Achieve more than what’s possible with online and point-to-point translators with FME’s library of data transformation and analysis tools. For instance restructure cloud data to fit any model, insert formulas, calculate statistics, and apply tests and business logic that execute different tasks based on results. FME also has different methods for reporting results including writing to Excel, PDF, HTML or Tableau.
Use FME’s enhanced support for spatial formats and applications to apply location analytics to data captured and stored with cloud-based solutions. For instance, turn values with associated coordinates into points on a map.
Keep cloud and on-premises synchronized across the enterprise with automation. By deploying data transformation workflows via FME Server or FME Cloud, users can configure them to run at scheduled intervals in real-time or in response to events. Learn more about Automated Enterprise Data Integration