Dagster Labs vs FME comparison

Dagster Labs and Safe Software are both solutions in the Data Integration category. Dagster Labs is ranked #37 with an average rating of 7.8, while Safe Software is ranked #32 with an average rating of 8.0. Dagster Labs holds a 0.0% mindshare in DI, compared to Safe Software’s 1.0% mindshare. Additionally, 100% of Dagster Labs users are willing to recommend the solution, compared to 100% of Safe Software users who would recommend it.

Dagster Labs

Read 6 Dagster Labs reviews

1,790 Views
54 Comparison Views

100% willing to recommend

FME

Read 7 FME reviews

3,539 Views
2,725 Comparison Views

100% willing to recommend

Dagster Labs

FME

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Executive Summary

We performed a comparison between Dagster Labs and FME based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Dagster Labs vs. FME Report (Updated: July 2026).

Buyer's Guide

Dagster Labs vs. FME

July 2026

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Helped 909,725 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Dagster Labs

Ranking in Data Integration

37th

Average Rating

7.8

Reviews Sentiment

4.5

Number of Reviews

Ranking in other categories

No ranking in other categories

FME

Ranking in Data Integration

32nd

Average Rating

8.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the Data Integration category, the mindshare of Dagster Labs is 0.0%. The mindshare of FME is 1.0%, down from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
FME	1.0%
Dagster Labs	0.0%
Other	99.0%

Data Integration

Featured Reviews

Alekh Shrivastava

IT Consultant at a outsourcing company with 10,001+ employees

Automation and lineage visibility have transformed how our teams schedule and monitor ETL workflows

There are multiple products from Dagster Labs: Dagster Cloud, Dagster Labs, and sometimes it is quite confusing to choose which one for what purposes. I know there are some licensing buckets for small organizations, medium organizations, and bigger organizations, so the modeling and the cost estimation part could be more intuitive, making it easier for beginners to understand how much time and money they would save by onboarding Dagster Labs in their project. I deducted two points because I faced some challenges working with the Git repository integration with Dagster Labs due to some security keys or some weird issue. I had to get in a call with Dagster Labs subject matter expert, and we really struggled for two to three weeks because we could not establish the secure connection through that.

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Gert Booysen

Software Solutions Leader at GE Vernova

Extensive format support and reliable integration enhance data management while new pricing model requires reassessment

I haven't had any input or requirements from any customers that are not currently covered, so I don't have any additional needs that were identified or raised to me. Regarding pricing, with the model changes that they've implemented a while back, it actually made it more expensive to use, especially on the server side. They changed the licensing model, and that made customers think it is overpriced. Some customers were actually looking at alternatives. Pricing with the model changes was perceived negatively. I work primarily with enterprise customers, Vodacom, Eskom, so it's tier-one customers. For small customers, this solution is a bit too expensive. They don't really use it and just do direct integration on smaller implementations. This is basically used by tier-one customers. FME is still able to save time and money for clients. It's still a good investment. Regarding similar products to FME, GE developed a product called Data Fabric. That is a real-time operational integration platform, Data Fabric Network Connect, which is a GE Grid OS product. It is actually more expensive than FME, but the purpose is different as it's operational. The vendor in this case is GE, and it's a company that we bought that used to be called Greenbird. In current use scenarios, FME is still leading compared to Data Fabric. The GE product has a different application.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Dagster Labs has impacted my organization positively by enabling faster project delivery since it has reduced a lot of manual efforts, especially the manual scheduling part."

"As a product, it is one of the best I have had the pleasure to work with."

"Dagster Labs has positively impacted our organization by making it much easier to create data pipelines, helping us create new use cases, and allowing us to transform all of the data we have into features, which Dagster Labs has greatly assisted with."

"Dagster Labs has positively impacted my organization because whenever there is a change in the data, it becomes easy for me to schedule the job, run the changes, and make changes to be imported to the slowly changing dimension tables."

"Since automating with Dagster Labs, I save around 90% of manual effort."

"Dagster Labs has provided a good sense of the data pipeline I have been using, and I have started to trust it even more because I have full confidence in whether it has been updated correctly and if it has failed."

"FME is spatially aware and understands how to deal with the conversion of spatial objects and their attributes."

"FME's features that I have found most valuable are that it has a very friendly user interface, you don't need to use a lot of code, it has a lot of connectors and few forms, and it has a strong facial aspect that can do a lot of facial analysis."

"We make minor subtle changes to the workbenches to improve it. We can share the workbenches. We don't have to use GitHub or anything else."

"All spatial features are unrivaled, and the possibility to execute them based on a scheduled trigger, manual, e-mail, Websocket, tweet, file/directory change or virtually any trigger is most valuable."

"The most valuable feature of FME is the graphical user interface."

"It has standard plug-ins available for different data sources."

"From my reseller perspective, the best features in FME are the ease of operation and the fact that it works."

"The most valuable feature of FME is the graphical user interface. There is nothing better. It is very easy to debug because you can see all steps where there are failures. Overall the software is easy to optimize a process."

Cons

"There are many ways Dagster Labs can be improved. I believe the UI is very slow and it prevents loading state."

"One major issue I see with Dagster Labs is with retrying the pipeline; of course, there is a retry of the pipeline available in case it fails, but it starts from the beginning at the first step."

"I deducted two points because I faced some challenges working with the Git repository integration with Dagster Labs due to some security keys or some weird issue."

"Additionally, the billing for Dagster Labs Cloud Plus is somewhat restrictive regarding the number of seats, which often pushes users towards the enterprise plan."

"Dagster Labs is currently providing a Dagster University course, but those offerings are somewhat high-level."

"FME's price needs improvement for the African market."

"We are looking at the possibility of using Glue instead of FME, using the native AWS product."

"To get a higher rating, it would have to improve the price and the associated scalability. These are the main issues."

"FME is a great tool, but I don't know if we can scale it up since the prices are high and we would need to convince the decision makers to provide more budget."

"Regarding pricing, with the model changes that they've implemented a while back, it actually made it more expensive to use, especially on the server side."

"Improvements could be made to mapping presentations."

"The one thing that always appears in the community is the ability to make really easy loops to loop through data efficiently. That needs to be added at some point."

"FME can improve the geographical transformation. I've had some problems with the geographical transformations, but it's probably mostly because I'm not the most skilled geographer in-house. The solution requires some in-depth knowledge to perform some functions."

Pricing and Cost Advice

Information not available

"We used the standard licensing for our use of FME. The cost was approximately €15,000 annually. We always welcome less expensive solutions, if the solution could be less expensive it would be helpful."

"FME Server used to cost £10,000; now it can cost over £100,000."

"The product's price is reasonable."

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Top Industries

By visitors reading reviews

Construction Company

28%

Outsourcing Company

Comms Service Provider

Financial Services Firm

Government

25%

Energy/Utilities Company

12%

Construction Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	4

Questions from the Community

What needs improvement with Dagster Labs?

Dagster Labs is currently providing a Dagster University course, but those offerings are somewhat high-level. When a user comes in and tries to learn Dagster Labs, there need to be different kinds ...

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What is your primary use case for Dagster Labs?

The main use case for using Dagster Labs is to utilize ETL processes such as extract, transform, and load because we already have raw data, and we perform all the necessary transformations, includi...

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What advice do you have for others considering Dagster Labs?

I would advise others looking into using Dagster Labs to utilize all of the features provided by Dagster Labs, as it has many great offerings. I would rate this product a seven out of ten.

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What needs improvement with FME?

See all answers

What is your primary use case for FME?

The use cases for FME are mainly integration to the GE Smallworld product. GE Smallworld is a GE product, and we are using it to integrate with other third-party products into GE Smallworld and ADM...

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What advice do you have for others considering FME?

The overall rating for FME is eight out of ten, and I prefer the feedback to be anonymous. My job title is Senior Solutions Architect.

See all answers

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Product Reports

Buyer's Guide

Dagster Labs

August 2026

Download Dagster Labs product report

Buyer's Guide

FME

August 2026

Download FME product report

Overview

Dagster Labs empowers data-centric enterprises to build, manage, and orchestrate complex data pipelines with ease. Its flexible architecture supports efficient data processing, enhancing productivity.

Dagster Labs provides a robust platform designed for performance and scalability, catering to developers and data engineers seeking to streamline data workflow management. It integrates seamlessly with modern data tools, facilitating efficient data pipeline execution and monitoring. Users benefit from its modular approach, enabling customization according to specific project requirements.

What are the key features of Dagster Labs?

Composable Workflows: Allows users to build and manage modular data pipelines with ease.
Dynamic Monitoring: Provides real-time insights into pipeline performance and health.
Integration Support: Seamlessly connects with popular tools like Apache Spark and Pandas.
Scalable Architecture: Ensures efficient handling of data processing workloads.
Flexible Design: Enables tailored solutions for specific data engineering needs.

What benefits and ROI should users look for in reviews?

Improved Efficiency: Users experience increased productivity with streamlined workflows.
Cost Savings: Optimized data pipelines reduce operational costs.
Enhanced Collaboration: Facilitates teamwork through shared workflows and tools.
Increased Agility: Quick adaptation to changing data requirements.
Reliable Performance: Consistent and dependable data processing capabilities.

Dagster Labs is particularly beneficial in industries such as finance, healthcare, and e-commerce, where data-driven insights are crucial. It enables financial institutions to process transactions swiftly, aids healthcare organizations in managing patient data securely, and helps e-commerce platforms optimize customer engagement through data analysis.

Dagster Labs

FME is a powerful tool designed for efficient geospatial data handling, supporting over 400 file formats and integrating with diverse systems. Its intuitive interface facilitates seamless automation of workflows, making it ideal for sectors that manage large spatial data volumes.

With FME, businesses automate data flows and manage GIS data transfers while integrating with tools like GE Smallworld. It empowers users with self-service capabilities for data processing and real-time event management. Despite its strengths, users note areas for improvement such as better mapping presentations, simpler loops, and more guidance on geographical transformations. Pricing remains a consideration for some markets. However, FME is a robust solution for massive data transformations, network infrastructure management, and automation of data quality control, especially in governmental contexts.

What are FME's key features?

Spatial Capabilities: Efficient handling of geospatial data through triggers and automation.
Integration: Seamlessly works with FME Flow, FME Form, and scripting languages like Python.
User-Friendly Interface: Simplifies data transformation and debugging without extensive coding.
Format Support: Over 400 file formats ensure wide-ranging compatibility.
System Integration: Connects with numerous systems, preferred for large spatial data volumes.

What benefits should users consider?

Automation: Streamlines workflows and reduces manual intervention.
Efficiency: Handles large datasets effectively, optimizing data operations.
Cost-Effectiveness: Despite pricing concerns, offers significant functionality for data processing.
Self-Service Capabilities: Enables users to manage and transform data independently.
Real-Time Processing: Supports real-time event handling for dynamic environments.

FME is widely adopted across industries that require precise geospatial data management such as government agencies needing to automate and control data processes efficiently or organizations handling complex network infrastructures that engage in frequent GIS data transfers. Its capacity for seamless integration with various systems enables practical use for extensive data transformations and automation, increasing operational efficiency in data-intensive sectors.

Safe Software

Sample Customers

Information Not Available

Shell, US Department of Commerce, PG&E, BC Hydro, City of Vancouver, Enel, Iowa DoT, San Antonio Water System

Buyer's Guide

Dagster Labs vs. FME

July 2026

Free Report: Dagster Labs vs. FME

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