Overview
FME Flow operationalizes intelligent data and AI workflows for enterprise deployment, enabling scalable orchestration, automation, and real-time execution across distributed environments. FME connects to 500+ systems, including Amazon Aurora, Snowflake, and Databricks, with support for all data types, industry-leading spatial data handling, and seamless integration with generative AI and other AI tools.
Transform authored workflows into automated, real-time, and self-service solutions with enterprise-ready capabilities:
Automations: Keep data current and systems synchronized with event-driven and scheduled workflows.
Real-Time Events: Process events as they occur to connect applications and trigger downstream workflows with up-to-date information.
Real-Time Data Streams: Continuously monitor and analyze streaming data to respond quickly to changing conditions.
No-Code Web Applications: Create self-serve data products that streamline workflows, improve collaboration, and increase operational efficiency without writing code.
Data Virtualization: Build applications on top of an FME-powered OpenAPI interface, enabling real-time access to data without custom infrastructure or hand-coded services.
Spatial Computing: Unlock new insights through augmented reality experiences delivered by FME Realize, bringing digital data into real-world context.
ETL, Reverse ETL, and Zero-ETL: Move and transform data from any location to gain a holistic, real-time view of your data.
With FME Flow, your authored workspaces run automatically on schedules, in response to events, or as real-time data arrives. Users can securely upload, process, and access data through self-service workflows. Designed for performance and scalability, FME Flow processes large datasets in parallel across multiple engines. Processing capacity can scale as needs grow, with engines deployed close to data sources to optimize performance and reliability. Safe Software has been recognized in the Gartner Magic Quadrant for Data Integration Tools for six consecutive years and named a Customers' Choice in the Gartner Peer Insights Voice of the Customer report for three consecutive years. FME is trusted by more than 25,000 organizations across 125+ countries.
Highlights
- Automate workflows by schedules or events to keep applications synchronized and enable real-time, data-driven decision making.
- Share your workflows with authorized users and facilitate self-service data uploads, downloads, and processing.
- Process and share large volumes of data at the enterprise level. FME supports all data, any AI integration with industry-leading capabilities for spatial data, Amazon Aurora, Snowflake, and Databricks.
Details
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Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/unit |
|---|---|---|
Core Uptime | Number of seconds the FME Flow Core is running. ($1/hour) | $0.00027778 |
Engine Runtime | Number of seconds FME Engines spend running jobs. ($2/hour) | $0.00055556 |
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We do not currently support refunds, but you can cancel at any time.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
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Usage instructions
- Launch the product using the EC2 Console. Ensure that you attach an IAM policy to the instance that has the aws-marketplace:MeterUsage permission (See https://docs.aws.amazon.com/marketplace/latest/userguide/iam-user-policy-for-aws-marketplace-actions.html#iam-user-policy-for-ami-products for details). Also ensure that your instance has an Internet Gateway so that it can reach the internet to report usage. It may take around 15 minutes for the Web UI to become accessible.
- Use a web browser to access the application at https://<EC2_Instance_Public_DNS>/fmeserver
- Sign in using the following credentials: User name: admin Password: the instance ID (instance_id)
- Once logged in, change your password to something more secure
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Vendor support
Support is available via email at support@safe.com or through the support portal at https://support.safe.com .
Buyers can expect assistance with product setup, configuration, licensing, and general troubleshooting. Access to technical documentation and community resources is also available to help guide users through common tasks and questions.
If you are not an existing customer and need a license, you can contact sales at
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
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Powerful, Flexible ETL with Drag-and-Drop But Can Get Complex and Resource-Heavy
Another important feature that I consider to be very helpful is the possibility of working with data virtually and automatically, as well as FME Platform's very active community. It means that FME can perform such tasks as orchestration of workflows and creation of reusable pipelines, thus helping with improving efficiency. Furthermore, thanks to the large community, finding a solution for a problem becomes significantly easier because it may have already been solved by someone else.
The second problem lies in the time, costs, and knowledge required. Even though it uses a low-code system at first glance, mastering its full potential still requires deep knowledge in data structure and transformation processes, making it harder to learn. Licensing may also become rather expensive when expanding the use of the platform across multiple settings.
This tool has helped us in not only improving our operations but also achieving strategic benefits. It has increased the efficiency of our process by providing greater consistency in our data. Moreover, we have been able to reduce our turnaround time from days to minutes as data workflows can be automated. The platform also has automation features where data pipelines can be automated based on the schedule specified.