You’re comparing Weld vs FME vs Whatagraph. Explore how they differ on connectors, pricing, and features. 
Loved by data teams from around the world
| Feature | Weld | FME | Whatagraph |
|---|---|---|---|
| Core Platform | |||
| Price | $79 / 5M Active Rows | FME Desktop ~$2,000+/year per seat; FME Server per-core (custom pricing) | $199 / month |
| Free tier | No | No | No |
| Location | DK, (EU) | Surrey, BC, Canada | US |
| Connectors & Sync | |||
| Connectors | 200+ | 450+ | 100+ |
| Extract data (ETL) | Yes | Yes | No |
| Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL) | Yes | No | No |
| Two-Way Sync | Yes | No | No |
| Transformations & AI | |||
| Transformations | Yes | Yes | No |
| AI Assistant | Yes | No | No |
| dbt Core Integration | Yes | No | No |
| dbt Cloud Integration | Yes | No | No |
| Governance & DevOps | |||
| Orchestration | Yes | Yes | No |
| Lineage | Yes | No | No |
| Version control | Yes | No | No |
| On-Premise | No | Yes | No |
| OpenAPI / Developer API | Yes | Yes | No |
| Integrations | |||
| Load to/from Excel | Yes | Yes (Excel reader/writer) | No |
| Load to/from Google Sheets | Yes | No | Yes |
| Ratings | |||
| G2 rating | 4.8 | 4.7 | 4.5 |
Overview
Weld is a unified ELT and data activation platform that combines ingestion, modeling, transformations, orchestration, lineage, and reverse ETL in a single SaaS interface. With premium in-house–built connectors, an intuitive UI, and near real-time syncs, Weld enables both technical and non-technical users to create and manage data workflows efficiently. Weld also includes an AI assistant to support SQL modeling, generate transformations, and streamline repetitive tasks. Teams can ingest data from a wide range of sources—including marketing platforms, CRMs, databases, Google Sheets, Excel, and APIs—into their cloud data warehouse and activate it back into business tools.
Lineage, orchestration, and workflow features included by default
Handles large datasets and near real-time data sync
ELT and reverse ETL in one platform
User-friendly interface with minimal setup required
Flat, predictable monthly pricing model
200+ in-house–built, high-quality connectors
AI assistant for modeling and transformations
Some SQL knowledge is useful for advanced modeling
Optimized for cloud-warehouse workflows (Snowflake, BigQuery, Redshift, etc.)
Feature set is streamlined for modern ELT/activation use cases
A reviewer on G2 said:
Overview
FME (by Safe Software) is a data integration and transformation platform with a strong focus on spatial and GIS data. It also supports a wide range of non-spatial ETL through a graphical workspace. With support for over 450 formats and applications, FME is well-suited for organizations needing advanced spatial transformations, validation, and complex data workflows.
Supports 450+ data formats, including extensive GIS, CAD, database, and file types.
Graphical Workbench with a large transformer library for spatial and non-spatial transformations.
FME Server adds automation, scheduling, job orchestration, REST APIs, and distributed processing.
Built-in data validation and quality tools, enabling conditional checks and notifications.
Licensing costs for FME Desktop and FME Server can be high, especially for small organizations.
Primarily optimized for spatial workflows; non-spatial ETL is supported but not the main focus.
Complex workspaces can become visually cluttered and require experience to manage efficiently.
FME Product Overview:
“FME’s ability to handle complex spatial transformations and 450+ formats is unmatched. The drag-and-drop workspace builder drastically speeds up geospatial ETL.”
“Licensing can be expensive for smaller organizations. Focus on spatial means some general ETL features are less polished than GIS-specific functions.”
Overview
Whatagraph is a cloud-based marketing reporting tool designed to help agencies and in-house teams create and automate visually polished reports. It connects to a range of marketing and advertising platforms and brings performance data together into a single reporting interface.
Easy to use for quick reporting
Visually appealing templates
Helpful for marketing agencies
Strong report automation features
Limited customization for advanced reporting needs
Higher pricing compared to similar tools
Narrower integration coverage than broader data platforms
Not suitable for complex data modeling or transformations
A reviewer on G2:
“Generating quality reports with ease is now possible thanks to this reporting tool. Our clients like the visuals, and the default templates help save time overall.”
“Customization options are limited and scaling reporting needs can get expensive.”
Side-by-side
Weld’s interface is built for clarity and speed, enabling users with varying levels of technical experience to manage data pipelines and models efficiently. Its built-in lineage and orchestration tools provide transparency across workflows.
FME Workbench offers a desktop UI for visually designing data flows using Readers, Writers, and Transformers. It is powerful for spatial data but can become cluttered when handling large, complex pipelines.
Whatagraph offers an intuitive interface and visually appealing templates, making it easy for marketing teams to generate reports without technical skills.
Side-by-side
Weld’s interface is built for clarity and speed, enabling users with varying levels of technical experience to manage data pipelines and models efficiently. Its built-in lineage and orchestration tools provide transparency across workflows.
FME Workbench offers a desktop UI for visually designing data flows using Readers, Writers, and Transformers. It is powerful for spatial data but can become cluttered when handling large, complex pipelines.
Whatagraph offers an intuitive interface and visually appealing templates, making it easy for marketing teams to generate reports without technical skills.
Side-by-side
Weld offers a simple and predictable pricing model starting at $79 for 5 million active rows. This flat, usage-transparent structure makes budgeting straightforward for small and medium-sized teams.
FME Desktop licensing typically starts around $2,000 per year. FME Server is licensed per core and can exceed $20k per core annually, making it more suitable for mid-sized and enterprise GIS teams.
Pricing is on the higher side compared to alternatives, which may be challenging for smaller teams, especially as reporting needs scale.
Side-by-side
Weld offers a simple and predictable pricing model starting at $79 for 5 million active rows. This flat, usage-transparent structure makes budgeting straightforward for small and medium-sized teams.
FME Desktop licensing typically starts around $2,000 per year. FME Server is licensed per core and can exceed $20k per core annually, making it more suitable for mid-sized and enterprise GIS teams.
Pricing is on the higher side compared to alternatives, which may be challenging for smaller teams, especially as reporting needs scale.
Side-by-side
Weld provides ELT ingestion, SQL-based transformations, reverse ETL activation, data lineage, orchestration, and workflow management in a single platform. Its AI assistant accelerates modeling and transformation tasks.
Supports 450+ formats, spatial and non-spatial transformations, workflow orchestration via FME Server, event- or schedule-based automation, REST APIs, and strong validation capabilities.
Whatagraph focuses primarily on marketing reporting and automation. While it supports many common marketing connectors, it lacks advanced features such as data modeling, transformations, and cross-system syncing.
Side-by-side
Weld provides ELT ingestion, SQL-based transformations, reverse ETL activation, data lineage, orchestration, and workflow management in a single platform. Its AI assistant accelerates modeling and transformation tasks.
Supports 450+ formats, spatial and non-spatial transformations, workflow orchestration via FME Server, event- or schedule-based automation, REST APIs, and strong validation capabilities.
Whatagraph focuses primarily on marketing reporting and automation. While it supports many common marketing connectors, it lacks advanced features such as data modeling, transformations, and cross-system syncing.
Side-by-side
Users can model data using SQL enhanced by Weld’s AI assistant, automate workflows, and build custom connectors to any API. This provides strong flexibility for teams that want to tailor integrations and transformations within one platform.
Users can embed Python, R, or Shell scripts for advanced logic. FME Server supports deployment on-prem or in cloud environments and scales horizontally. Data lineage and cataloging are not built in and require separate systems.
The platform is straightforward for simple reporting but offers limited flexibility for deeper customization or complex data workflows, making it less suitable for technical or data-driven teams.
Side-by-side
Users can model data using SQL enhanced by Weld’s AI assistant, automate workflows, and build custom connectors to any API. This provides strong flexibility for teams that want to tailor integrations and transformations within one platform.
Users can embed Python, R, or Shell scripts for advanced logic. FME Server supports deployment on-prem or in cloud environments and scales horizontally. Data lineage and cataloging are not built in and require separate systems.
The platform is straightforward for simple reporting but offers limited flexibility for deeper customization or complex data workflows, making it less suitable for technical or data-driven teams.
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CUSTOMER STORIES
“One of the biggest impacts has been unlocking new ways to buy media. Before, we didn’t have the data to back up strategic decisions – now we do.”
“Before Weld, we had to rely on custom Python scripts and manual processes that were time-consuming and error-prone.”
“We’re still a team of three, but we’re often doing far more than the equivalent of three full-time employees. That’s down to how we're able to leverage systems, data, and processes.”
“We’ve always been a KPI-driven company. But we wanted to scale that mindset across every team member, every team, every decision.”
“Before Weld, our data infrastructure was limited and we relied heavily on Excel files and custom Python scripts.”
“Weld has saved us a ton of time, from not having data ready to having a fully functional data warehouse and connectors.”
“By integrating Weld, Amazon S3, and Databricks, Soundboks built a modern data pipeline that automates data ingestion, improves reporting, and provides up-to-date visibility into sales performance”
“We didn’t have a good data setup, so we lacked the business insights we needed. Weld has allowed us to set up a structured data infrastructure and access insights quickly.”
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