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.
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
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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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Customer reviews
Margot W.
Our GIS team stopped chasing data errors after we started using FME platform
Reviewed on Jul 29, 2026
Review provided by G2
What do you like best about the product?
As a GIS manager at MaskiaGroup i manage a 15 member team and after linking ArcGIS online with insightful it became much easier to compare field work with office activity during one of our asset mapping projects. Syncing has been dependable and even when several team records are open together everything keeps up well. I do wish older records opened a bit quicker.
What do you dislike about the product?
Honestly i haven't found anything worth complaining about yet so it's difficult to point out a dislike. I'm genuinely happy with the ai insights and every time i've needed support the team has been quick to respond and genuinely helpful.
What problems is the product solving and how is that benefiting you?
Oh this honestly caught me off guard. I expected it to take a while to get comfortable but everything felt natural from the start. For our 15 member GIS team the pricing also felt fair because we only paid for what we actually needed not a bunch of extras.
wesley d.
FME Platform Products Allows Our Team to Handle Data More Confidently
Reviewed on Jul 28, 2026
Review provided by G2
What do you like best about the product?
What I like most about FME Platform Products is how much control it gives me when building data transformation workflows. We regularly bring together GIS and non spatial data from different sources, and FME Workbench lets me organize that process in a way that Is repeatable instead of rebuilding it every time. Once a workspace has been tested I know it will behave the same way the next time it runs. The scheduling side has also been dependable over the years which matters more than flashy features. Some of our workspaces have become fairly large but for handling complicated data conversions its been a dependable part of our daily work.
What do you dislike about the product?
I have very few complaints after working with FME Platform Products for years, but version upgrades sometimes require extra validation before we move existing workflows into production. Nothing has been unreliable yet I prefer checking each update carefully because even small changes can affect established processes. That adds a bit of planning whenever we schedule an upgrade Better tools for comparing behavior between versions would make those transitions feel a little more comfortable without changing how we already work
What problems is the product solving and how is that benefiting you?
What changed the most for us was visibility into recurring data operations We used to spend too much time figuring out whether a scheduled process had actually completed or if someone needed to step in. Since moving those activities into FME Platform Products, it is much easier to keep track of what has already happened and what still needs attention. That has made handoffs between people much smoother especially when different team members are involved during the week. We still check exceptions manually but they stand out much faster now
Siwar S.
FME Workbench Streamlines Complex Data Cleaning and Conversion Without Custom Scripts
Reviewed on Jul 27, 2026
Review provided by G2
What do you like best about the product?
FME's visual workbench lets us clean and convert messy client lead databases straight into our contact center dialers. It handles complex spatial and database formats automatically without us having to write custom Python scripts for every new e-commerce or telecom campaign.
What do you dislike about the product?
The learning curve for setting up advanced transformers is pretty steep if you don't have a dedicated GIS engineer on staff. Adding extra engine licenses on FME Flow also gets expensive real quick when we need to burst capacity for major client launches.
What problems is the product solving and how is that benefiting you?
It stops our BPO team from drowning in manual data prep work, cutting our client onboarding time from days down to a couple of hours. Our clients get clean, real-time campaign reporting while we keep our operational overhead nice and lean.
Coy B.
KafkaConnector in FME Platform Made Real-Time Streaming Effortless
Reviewed on Jul 24, 2026
Review provided by G2
What do you like best about the product?
I manage data pipeline for national logistics firm we were absolutely drowning in sensor data until we brought in FME Platform. Thing that i really loved was KafkaConnector transformer, being able to drop that onto canvas in FME Form and immediately start subscribing to our real time message broker was wild. I didn't have to write single line of custom streaming code. We push result straight to our live Tableau dashboard now.
What do you dislike about the product?
When we first set up FME Flow to handle our Kafka stream, troubleshooting dropped connection was bit of mess. Engine log for streaming job can get massive really quickly and parsing through thousand of line of text just to find out why specific JSON payload failed feels bit archaic.
What problems is the product solving and how is that benefiting you?
Our operation team was suffering just waiting for batch database update to run every 15 minute. By moving to event driven setup with FME our dispatcher now see vehicle location update on their map in under 2 second. Saved company thousand in fuel cost by enabling quicker rerouting decision on the fly.
Keith B.
FME Form’s HTTPCaller Made Complex API Syncing Effortless
Reviewed on Jul 23, 2026
Review provided by G2
What do you like best about the product?
We run pretty massive fiber rollout across Bavaria and biggest issue was keeping live network monitoring tool in sync with physical asset inventory. What blew me away with FME Form is how smoothly HTTPCaller transformer handles complex and paginated API request. I used to have team of developer writing custom script just to pull daily hardware log into our mapping system. Now we chain http Caller right into JSONFragmenter and data flattens out and maps straight to our spatial database.
What do you dislike about the product?
When we first transitioned to enterprise FME Flow deployment on Kubernetes thing got a bit chaotic. Troubleshooting engine scaling configuration was super painful for few week.
What problems is the product solving and how is that benefiting you?
We're essentially using FME as universal translator between physical network inventory map and CRM system. Before if line was cut, customer service wouldn't see updated outage map for maybe 24 hour because batch job only ran overnight. But now spatial data flows continuously through pipeline we built, transformed how quickly we can dispatch repair crew to right location.