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
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Win2022 21H2
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Buyer guide
Gain valuable insights from real users who purchased this product, powered by PeerSpot.
Financing for AWS Marketplace purchases
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.
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) .
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.
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.
Similar products
Amigoco Cloud Architecture and Support Services allow you to plan, setup, migrate and monitor your cloud journey.
Customer reviews
Denise G.
FME Saves Time with Powerful GIS ETL and Automation
Reviewed on May 23, 2026
Review provided by G2
What do you like best about the product?
FME is a GIS destop tool that lets me run workspace manually, integrate APIs qnd automate transformations as an ETL tool. These capabilities save me time by removing the need to manually move data between systems like ERP and POS before bringing it into GIS. It also includes built in testing and a wide range of transformers, which makes it easier for me to adjust worlflows and apply changes in real time.
What do you dislike about the product?
FME makes it slow and cumbersome to create scheduling pipelines. I’ve also noticed that tasks often take longer than expected, which creates real problems when I’m trying to resolve issues in reporting or daily operations.
What problems is the product solving and how is that benefiting you?
FME workspaces generate accurate, streamlined outputs and help resolve data issues. They save a lot of time and make it easier to process data for warehouse cleaning and standardization more fastest with less overall effort. In daily use, this boosts efficiency and supports better coordination and organization of information.
Dewey W.
AttributeRenamer Made Our Data Migration and Validation Reporting Effortless
Reviewed on May 22, 2026
Review provided by G2
What do you like best about the product?
We spent most of last year migrating 11 years of road asset condition records from a legacy pavement management system. Source data was mix of old geodatabases, flat CSVs with inconsistent column names etc. AttributeRenamer and custom transformers handled the naming standardization across about 40 source extracts. The part i did not plan for was that validation reports came out as by product of the migration itself. When sponsor asked for completeness summary i pulled it straight from job logs.
What do you dislike about the product?
Workspace complexity grew faster than expected. We started with fairly clean migration workspace and by the time we added conditional logic and exception handling branches it became hard for new team members to navigate. FME does not have good built-in way to organize large workspaces.
What problems is the product solving and how is that benefiting you?
Seniors had real doubts about whether migration this size could be done without data loss. FME let us run test migrations against smaller data subsets, catch problems, fix and run again. In final stage most edge cases were already handled. Asset engineers are now working from single dataset for first time in years. Time spent fixing conflicting records between old and new systems is gone. Asset condition data is also now clean enough to feed directly into project.
Kara. B.
FME Makes Complex ETL and Data Quality Control Seamlessly No-Code
Reviewed on May 22, 2026
Review provided by G2
What do you like best about the product?
FME handles heterogeneous ETL/ELT without custom scripting. I can build visual workflows to move data between Oracle, SQL Server, Snowflake, and APIs, and then schedule and monitor everything in one place. Data quality is enforced at ingestion: the platform checks for nulls, duplicates, invalid codes, and out-of-range values before anything reaches our core tables.
It’s also been strong for master data. I automate updates to product hierarchies, customer records, and route tables using SAP and distributor files, which helps keep all downstream systems aligned.
The lineage and logging features are important for audits, and I can provide QA and Marketing with self-service web apps so they can run approved workflows themselves instead of submitting tickets.
It’s also been strong for master data. I automate updates to product hierarchies, customer records, and route tables using SAP and distributor files, which helps keep all downstream systems aligned.
The lineage and logging features are important for audits, and I can provide QA and Marketing with self-service web apps so they can run approved workflows themselves instead of submitting tickets.
What do you dislike about the product?
Complex enterprise integrations take real planning. In our case, connecting to SAP and older MES systems required upfront effort to map schemas correctly and work through authentication. Although most of the workflow is no-code, more advanced transformations still require someone who understands data logic and basic SQL concepts. For straightforward point-to-point transfers between two databases, FME can feel like more than what’s needed.
What problems is the product solving and how is that benefiting you?
Before FME, we were juggling several brittle SSIS packages and cron jobs. They were difficult to document and tended to break whenever schemas changed. On top of that, we had inconsistent data coming in from suppliers and distributors, which regularly led to reporting errors.
With FME, that integration logic is centralized in one place. It validates incoming data and alerts us to problems early, before they show up in our BI dashboards. It has also helped us bridge legacy and modern systems during phased cloud migrations, keeping data in sync without having to rewrite older applications.
With FME, that integration logic is centralized in one place. It validates incoming data and alerts us to problems early, before they show up in our BI dashboards. It has also helped us bridge legacy and modern systems during phased cloud migrations, keeping data in sync without having to rewrite older applications.
Dillon. S.
Fast, Automated Reporting with Actionable Store-Level Insights
Reviewed on May 22, 2026
Review provided by G2
What do you like best about the product?
The biggest win for me is speed. Automating campaign and trade-spend reporting saves hours of manual CSV work every week. I can see ROI by brand, package, and customer before month-end, and I can quickly flag accounts that received funding but didn’t execute the agreed displays or pricing.
FME also makes it easier to localize marketing. By combining sales data, route maps, and demographics, I can share store-level insights with field sales so they can focus POS and sampling where it matters most. For launches, it helps track when new SKUs actually hit shelves and then monitors velocity, out-of-stocks, and cannibalization in near real time. It also integrates with our existing systems, so we didn’t have to replace our TPM or CRM.
FME also makes it easier to localize marketing. By combining sales data, route maps, and demographics, I can share store-level insights with field sales so they can focus POS and sampling where it matters most. For launches, it helps track when new SKUs actually hit shelves and then monitors velocity, out-of-stocks, and cannibalization in near real time. It also integrates with our existing systems, so we didn’t have to replace our TPM or CRM.
What do you dislike about the product?
The initial setup took some time. Connecting our retail POS, ERP, and ad platforms required upfront effort to map fields correctly and validate the data.
Non-technical users on the brand team also need training to build or adjust workflows, so marketing still ends up relying on one or two power users. If your campaigns are straightforward and you’re only tracking a handful of retailers, the platform can feel like more than you actually need.
Non-technical users on the brand team also need training to build or adjust workflows, so marketing still ends up relying on one or two power users. If your campaigns are straightforward and you’re only tracking a handful of retailers, the platform can feel like more than you actually need.
What problems is the product solving and how is that benefiting you?
Brand Marketing at a bottler sits between corporate strategy and local execution, and the biggest gap is usually data. FME helps close that gap by automating the data prep that used to slow us down. It connects trade spend to in-store execution and sales results, gives us faster reads on which media and promotions actually moved cases, and standardizes creative asset distribution while keeping performance data tied to it. Instead of spending Monday building reports, I can spend it optimizing campaigns.
Mujahid A.
Powerful Data Integration with a Steep Learning Curve
Reviewed on May 22, 2026
Review provided by G2
What do you like best about the product?
I like FME Platform for its flexibility and automation capabilities. The drag-and-drop workflow design makes complex data transformations easier and more manageable. I also appreciate the wide range of formats and systems it supports, which saves a lot of time. The scheduling and integration features are fantastic, improving efficiency and reducing manual work. The platform’s reliable processing helps ensure data accuracy and consistency, making it invaluable for data integration, automation, and workflow management.
What do you dislike about the product?
FME Platform is powerful, but the learning curve can be challenging for new users, especially with advanced workflows. Some complex processes can also consume a lot of system resources. The interface could feel more modern and beginner-friendly, and clearer documentation for certain advanced features would make troubleshooting and setup easier.
What problems is the product solving and how is that benefiting you?
I use FME Platform for data integration, automating workflows, and improving data accuracy. It solves issues like data compatibility and manual processing, automates data conversions, and ensures consistent, accurate data across systems and teams.