Take full advantage of the capacity of AWS database and storage solutions by ensuring any data can be loaded in, and that stored data can be used with other applications. FME facilitates AWS integration with its advanced data conversion technology and automation. Without writing any code, create customized data migration workflows that connect applications in a way that meets your organization’s objectives.

Convert Data Between Hundreds of Formats and Applications

Through its many readers and writers FME converts and migrates data between hundreds of formats and applications including Amazon S3, Aurora, RDS, Redshift and DynamoDB. It also supports CSV, Excel, XML, JSON, Oracle, SQL Server, and many more. FME also has an expansive library of transformation tools that can manipulate data’s contents and structure to fit any system’s model.

Easily Connect AWS Solutions to Other Cloud-Based Applications

FME features built-in support for commonly used SaaS and cloud-based applications including Salesforce, Google Sheets, Dropbox, ArcGIS Online, Twitter, among others. It also has customizable tools that can connect to practically any web service with an API.

Automate AWS Data Migration Workflows

Keep AWS solutions and all other applications up to date and in sync with automation. By deploying FME technology via FME Server or FME Cloud, you can configure data migration workflows to run at scheduled intervals or in response to real-time events. Both are tightly integrated with the Amazon Simple Queuing Service (SQS) and Simple Notification Service (SNS) and can exploit their capabilities from within workflows, delivering messages or executing FME tasks whenever certain events occur.

How FME Supports Amazon Web Services

Amazon S3

Incorporate S3 data into your FME workflows by uploading or downloading your files and transforming them. You can even automatically run workflows in response to real-time events, like the appearance of a new file in an S3 bucket.

Integrate Buckets of Data

Amazon Aurora

Read and write to Aurora, a MySQL relational database in the cloud, directly in FME. Integrate data with customized workflows that allow you to transform and convert data for use in the application or system of your choice.

Save and Store in Aurora

Amazon Redshift

Use FME to migrate data to or from Amazon Redshift, a cloud data warehouse that can store petabytes of data. Query data and transform it as needed with FME to enable use of the data in the application of your choice.

Store Data of Any Scale

Amazon DynamoDB

Amazon DynamoDB is a fully-managed NoSQL database service that offers speedy performance, and scalability so users can store and retrieve any amount of data. Use FME to read from or write to DynamoDB easily.

Keep Data Dynamic

Amazon Athena

Query data in S3 with Amazon Athena through FME. With FME’s support for a variety of AWS services like Amazon Athena, you’ll be able to keep the data connected and ready for use, no matter where the data is being stored.

Query and Get Answers

Amazon SQS

Keep communication flowing so everyone stays informed by using Amazon Simple Queue Service (SQS). Use FME to connect to Amazon SQS to send or receive messages that directly relate to data conversion and transformation workflows.

Send and Receive Messages

Amazon AI Services

Connect to Rekognition and Comprehend from Amazon in FME and make the most of these AI tools. Do natural language processing or image analysis with innovative machine learning services without having to code along the way.

Try Out Machine Learning

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