Sold by: Safe Software Inc.
Deployed on AWS
Deploy and run intelligent workflows that connect all data with any AI. FME Flow brings workflows into production as a real-time orchestration layer, enabling automation, event and stream processing, ETL, and AI-powered decision making.
FME Flow natively supports all data types, including spatial and streaming data, and integrates seamlessly with generative AI and LLMs to enable adaptive, non-deterministic workflows.
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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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Win2022 21H2
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
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 |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
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Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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.
Version release notes
Additional details
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
Resources
Vendor resources
Support
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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