Comparing FME with Whatagraph and Weld



What is FME
Pros
- Supports 450+ data formats, making it ideal for GIS and non-GIS integration.
- Graphical Workspaces with extensive transformer library for spatial (coordinate reprojection, topology) and non-spatial transformations (joins, data cleansing).
- FME Server enables automated scheduling, breakout clustered processing, and REST API for triggering workflows.
- Strong data validation and quality features—users can apply conditional checks and notifications when data doesn’t meet criteria.
Cons
- High licensing costs for desktop (FME Desktop) and server components; often priced per core for server deployments.
- Primarily geared toward GIS/spatial use cases; non-spatial ETL use is possible but the interface and transformers are optimized for spatial workflows.
- Large learning curve for complex workspaces—dragging many transformers can become unwieldy visually.
FME Product Overview:
What I like about FME
FME’s ability to handle complex spatial transformations and 450+ formats is unmatched. The drag-and-drop workspace builder drastically speeds up geospatial ETL.
What I dislike about FME
Licensing can be expensive for smaller organizations. Focus on spatial means some general ETL features are less polished than GIS-specific functions.
What is Whatagraph
Pros
- Easy to use
- Visually appealing reports
- Great for agencies
- Great report automation
Cons
- Limited customization options for advanced users
- Expensive, particularly for smaller businesses
- Lacking integration coverage
- Steep learning curve
A reviewer on G2:
What I like about Whatagraph
Generating quality reports with ease is now possible thanks to this fantastic reporting tool. Moreover, our clients love the way we present the default menus which help save valuable time overall.
What I dislike about Whatagraph
What is Weld
Pros
- Premium quality connectors and reliability
- User-friendly and easy to set up
- AI assistant
- Very competitive and easy-to-understand pricing model
- Reverse ETL option
- Lineage, orchestration, and workflow features
- Advanced transformation and SQL modeling capabilities
- Ability to handle large datasets and near real-time data sync
- Combines data from a wide range of sources for a single source of truth
Cons
- Requires some technical knowledge around data warehousing and SQL
- Limited features for advanced data teams
A reviewer on G2 said:
What I like about Weld
First and foremost, Weld is incredibly user-friendly. The graphical interface is intuitive, which makes it easy to build data workflows quickly and efficiently. Even with little experience in SQL and pipeline management, we found that Weld was straightforward and easy to use. What really impressed me, however, was Weld's flexibility. It was able to handle data from a wide variety of sources, including SQL databases, Google Sheets, and even APIs. The solution also allowed us to customize my data transformations in a way that best suited my needs. Whether I needed to clean data, join tables, or aggregate data, Weld had the necessary tools to accomplish the task. Weld's performance was also exceptional. I was able to run large-scale ETL jobs quickly and efficiently, with minimal downtime via a Snowflake instance and visualization via own-hosted Metabase. The solution's scalability meant that I could process more data without any issues. Another standout feature of Weld was its support. I never felt lost or unsure about how to use a particular feature, as the support team was always quick to respond to any questions or concerns that I had. Overall, I highly recommend Weld as an ETL solution. Its user-friendliness, flexibility, performance, and support make it an excellent choice for anyone looking to streamline their data integration processes. I will definitely be using Weld for all my ETL needs going forward.
What I dislike about Weld
Weld is still limited to a certain number of integrations - although the team is super interested to hear if you need custom integrations.
Feature-by-Feature Comparison
Ease of Use & Interface
FME
FME’s Workbench is a desktop application where users connect Reader and Writer transformers to map and transform data. While powerful for spatial, the GUI can feel cluttered for workflows with hundreds of transformers.
Whatagraph
Whatagraph is easy to use and great for generating visually appealing reports quickly, making it a popular choice for agencies and marketing teams.
Pricing & Affordability
FME
FME Desktop licenses start around $2,000/year. FME Server pricing is per-core (often $20k+/core for an annual license). Expensive for small teams, but justified where spatial data integration is critical.
Whatagraph
Whatagraph is relatively expensive, particularly for smaller businesses, which may find its pricing a barrier to adoption.
Feature Set
FME
Supports reading/writing 450+ formats (GIS, CAD, JSON, XML, databases), transformer library (spatial & non-spatial), workflow orchestration via FME Server, automation (event-based, scheduled), and REST API endpoints for triggering.
Whatagraph
The platform offers great report automation and integration with multiple marketing platforms, but it has limited customization options for advanced users.
Flexibility & Customization
FME
Users can embed Python, R, or Shell scripts within transformers for custom logic. FME Server can be deployed in any environment (on-prem, AWS, Azure) and scaled horizontally. However, no built-in data catalog or lineage; separate tools needed.
Whatagraph
While Whatagraph is great for creating quick reports, it lacks flexibility and customization options, making it less suitable for advanced data tasks.
Summary of FME vs Whatagraph vs Weld
Weld | FME | Whatagraph | |
---|---|---|---|
Connectors | 200+ | 450+ | 100+ |
Price | $79 / No data volume limits | Per-seat for FME Desktop ($2,000+/year) and per-core for FME Server (custom) | $199 / month |
Free tier | No | No | No |
Location | EU | Surrey, BC, Canada (Safe Software HQ) | US |
Extract data (ETL) | Yes | Yes | Yes |
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL) | Yes | No | No |
Transformations | Yes | Yes | No |
AI Assistant | Yes | No | No |
On-Premise | No | Yes | No |
Orchestration | Yes | Yes | No |
Lineage | Yes | No | No |
Version control | Yes | No | No |
Load data to and from Excel | Yes | Yes | No |
Load data to and from Google Sheets | Yes | No | No |
Two-Way Sync | Yes | No | No |
dbt Core Integration | Yes | No | No |
dbt Cloud Integration | Yes | No | No |
OpenAPI / Developer API | Yes | Yes | No |
G2 Rating | 4.8 | 4.7 | 4.5 |
Conclusion
You’re comparing FME, Whatagraph, Weld. Each of these tools has its own strengths:
- FME: supports reading/writing 450+ formats (gis, cad, json, xml, databases), transformer library (spatial & non-spatial), workflow orchestration via fme server, automation (event-based, scheduled), and rest api endpoints for triggering. . fme desktop licenses start around $2,000/year. fme server pricing is per-core (often $20k+/core for an annual license). expensive for small teams, but justified where spatial data integration is critical. .
- Whatagraph: the platform offers great report automation and integration with multiple marketing platforms, but it has limited customization options for advanced users.. whatagraph is relatively expensive, particularly for smaller businesses, which may find its pricing a barrier to adoption..
- Weld: weld integrates elt, data transformations, and reverse etl all within one platform. it also provides advanced features such as data lineage, orchestration, workflow management, and an ai assistant, which helps in automating repetitive tasks and optimizing workflows.. weld offers a straightforward and competitive pricing model, starting at $99 for 2 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises..