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    FME Flow on Windows

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    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.
    4.6

    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

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Win2022 21H2

    Deployed on AWS
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    Buyer guide

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    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    FME Flow on Windows

     Info
    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.

    Usage costs (2)

     Info
    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.

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    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) .

    Content disclaimer

    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.

    Usage information

     Info

    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.

    Additional details

    Usage instructions

    1. 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.
    2. Use a web browser to access the application at https://<EC2_Instance_Public_DNS>/fmeserver
    3. Sign in using the following credentials: User name: admin Password: the instance ID (instance_id)
    4. Once logged in, change your password to something more secure

    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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    Customer reviews

    Ratings and reviews

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    4.6
    133 ratings
    5 star
    4 star
    3 star
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    1 star
    83%
    15%
    2%
    0%
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    1 AWS reviews
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    132 external reviews
    External reviews are from G2  and PeerSpot .
    Utilities

    Unmatched for Easy and Complex Data Transformations

    Reviewed on Oct 07, 2026
    Review provided by G2
    What do you like best about the product?
    The FME platform helps to make both easy and complex analysis and data transformations. I don't know any other application that is just as good as FME
    What do you dislike about the product?
    I cannot think of any downsides at the moment.
    What problems is the product solving and how is that benefiting you?
    FME platform helps me solve a lot of work challenges. For my current project, we have to migrate spatial data from one data format to another. FME is the best tool to make this possible
    Airlines/Aviation

    Incredibly Versatile—Solves Almost Any Data Problem with FME

    Reviewed on Oct 01, 2026
    Review provided by G2
    What do you like best about the product?
    Versatility of use. I can solve almost any data problem I can think of with FME.
    What do you dislike about the product?
    Very hard to debug (I appear to not be alone since the number of webinars on debugging hard grown). Documentation is generally good but often lacks the details. It's a very complex platform and not for the faint hearted.
    What problems is the product solving and how is that benefiting you?
    Data interoperability between different formats (i.e. CAD, GIS, BIM) and different information systems; Data QA; Data loading into enterprise Geodatabases
    Himanshu V.

    Efficient Data Transformer with Learning Curve

    Reviewed on Oct 01, 2026
    Review provided by G2
    What do you like best about the product?
    I like the FME Platform because it is simple to use and the interface is easy to understand. Most features work smoothly, and it helps me complete my work faster. I love how easy it is to automate repetitive data tasks, and the straightforward interface saves a lot of time once the workflow is set up. The ability to connect with different data sources without complicating the process is great. I also find the data transformation tools and automation workflows very useful as they make cleaning, converting, and moving data between different systems much easier without doing everything manually.
    What do you dislike about the product?
    Sometimes the FME Platform feels a bit overwhelming because there are so many options and settings. A few features can take time to learn, especially for a new user. I think simpler guidance and a more beginner-friendly interface in some areas would improve the experience. Specifically, the more advanced workflow settings and some of the transformers can take a little time to understand. Configuring connections between different data sources is not always obvious at first, and it would help to have more step-by-step examples or simpler explanations inside the platform.
    What problems is the product solving and how is that benefiting you?
    FME Platform helps me manage and automate data tasks easily by connecting different sources, transforming data, and reducing manual work. It saves time on repetitive processes and simplifies data transformations and connections.
    Anonymous

    Efficient Data Integration with AI-Ready Features

    Reviewed on Oct 01, 2026
    Review provided by G2
    What do you like best about the product?
    I like how FME Platform's visual no/low code workflow makes it easy to get started and the data caching is a big help for debugging. The platform supports lots of formats which makes it convenient to convert data to fit anywhere. I'm impressed with how easy it is to integrate AI services into a workflow, and the MCP feature is a great way to provide business data to AI while keeping things secure. The automation and scheduling features are superb, removing the need for manual effort and allowing workspaces to run on demand. The self-serve apps enable the business to get what they need independently, which saves time and delivers value across the board. The initial setup was also very easy thanks to the support from our technical advisors.
    What do you dislike about the product?
    Cross-environment deployments could be streamlined more to make it easier to go from dev-test-prod, etc. That part could definitely be less manual.
    What problems is the product solving and how is that benefiting you?
    FME Platform addresses data quality issues, connects siloed systems, and reduces manual work. It integrates SCADA, GIS, asset management systems, and automates data processes, saving time for our team.
    Kuntal G.

    A One-Stop Shop for Building and Orchestrating Data Pipelines

    Reviewed on Oct 01, 2026
    Review provided by G2
    What do you like best about the product?
    A true one-stop shop for building, creating, and editing data pipelines, with orchestration across a broad range of applications—both spatial and non-spatial.
    What do you dislike about the product?
    It’s hard to be very specific, but my overall impression is that it’s underrated outside the geospatial space, even though it offers a significant number of options.
    What problems is the product solving and how is that benefiting you?
    I use it for data migration and for building data pipelines across various applications. It also helps me bring together manual scripting tasks in one place and automate workflows, which makes the overall process more consistent and easier to manage. For example - Migration of database to schema, from On prem to Azure delta lake, from AWS to Azure, automatic data update through APIs. Creating object detection pipelines.
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