Comparing Dell Boomi with Fivetran and Weld
Carolina Russ6 min read
What is Dell Boomi
Dell Boomi AtomSphere is a cloud-native iPaaS that provides ETL, API management, B2B/EDI integration, and workflow automation via a visual “Atom” runtime architecture. It supports 200+ connectors (SaaS, on-prem, databases) and allows users to build, deploy, and manage integration processes (called Atoms) in a drag-and-drop interface. Boomi’s AtomSphere runs on a lightweight runtime engine that can be deployed in the cloud or on-premise for hybrid scenarios.
Pros
- 200+ connectors for SaaS, on-prem, and big data sources.
- Cloud-native or on-prem Atom runtime allows hybrid deployments.
- Visual process designer with drag-and-drop mapping, enriched by shape-specific logic (e.g., function, decision, loop).
- Built-in error handling, version control, and CI/CD integration.
Cons
- Costly licensing structure (per-connection, per-Atom), which can escalate for high throughput or many connectors.
- Complex transformations sometimes still require scripting (JavaScript/Groovy), reducing low-code benefits for advanced scenarios.
- Learning curve: mastering Atoms, Molecules, and hybrid architecture requires time, particularly for non-technical users.
Dell Boomi Documentation:
What I like about Dell Boomi
Boomi’s AtomSphere makes deploying integration processes easy—Atommachines can run anywhere (cloud or on-prem), and the visual interface is intuitive for building mappings.
What I dislike about Dell Boomi
Licensing can be expensive, especially for high-volume data. Complex integrations can require coding despite the low-code promise.
What is Fivetran
Fivetran is a robust cloud-based Extract-Load-Transform (ELT) platform that automates the process of data integration from various sources into popular data warehouses such as Google BigQuery, Snowflake, and Amazon Redshift. Known for its reliability and ease of setup, Fivetran provides pre-built connectors that allow businesses to extract data from a wide range of applications, databases, and services. Fivetran’s key strength lies in its ability to handle the extraction and loading of data efficiently, with minimal configuration and maintenance. This makes it an attractive choice for organizations looking to quickly onboard a data integration solution without the need for extensive engineering resources.
Pros
- Wide variety of connectors
- Easy setup, low maintenance, and scalability with pre-built connectors
- Robust security protocols
- Detailed and helpful documentation
- Near real-time replication capabilities
Cons
- Depends on external tools for data transformations (e.g., DBT)
- No built-in reverse ETL capabilities
- Complex and expensive pricing model
- Limited flexibility for data transformations
- No AI assistant or advanced automation features
From a review on G2:
What I like about Fivetran
The pre-built connectors makes data integration super easy, without the need of an expensive data engineering team. If you are using DBT, there is a DBT package for most of the pre-built connectors that will provide configurable data marts/models.
What I dislike about Fivetran
New connectors are released infrequently, and pricing is somewhat opaque if you are not familiar. It is somewhat opinionated, so if you are not already using a modern data stack w. their preferred partners it's a bit harder to integrate.
What is Weld
Weld is a powerful ETL platform that seamlessly integrates ELT, data transformations, reverse ETL, and AI-assisted features into one user-friendly solution. With its intuitive interface, Weld makes it easy for anyone, regardless of technical expertise, to build and manage data workflows. Known for its premium quality connectors, all built in-house, Weld ensures the highest quality and reliability for its users. It is designed to handle large datasets with near real-time data synchronization, making it ideal for modern data teams that require robust and efficient data integration solutions. Weld also leverages AI to automate repetitive tasks, optimize workflows, and enhance data transformation capabilities, ensuring maximum efficiency and productivity. Users can combine data from a wide variety of sources, including marketing platforms, CRMs, e-commerce platforms like Shopify, APIs, databases, Excel, Google Sheets, and more, providing a single source of truth for all their data.
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.
Dell Boomi vs Fivetran: Ease of Use and User Interface
Dell Boomi
Boomi’s Integration Builder uses a web-based canvas to create process flows. Connectors and maps are configured via dialogs. Error-handling, version control, and deployment controls are integrated. Some users find building very complex workflows cumbersome despite the visual design.
Fivetran
While Fivetran offers a comprehensive set of connectors, it requires more technical knowledge, especially for setting up and managing data transformations, as it relies on external tools like DBT.
Dell Boomi vs Fivetran: Pricing Transparency and Affordability
Dell Boomi
Boomi’s pricing is multi-faceted—permanent Atom licenses, per-connection pricing, and usage-based charges for transactions. SMBs may need to request custom quotes to stay within budget.
Fivetran
Fivetran’s pricing can be quite complex and increases significantly with the volume of data, making it potentially expensive for growing companies or those with large datasets. This can be a disadvantage for teams looking for a cost-effective solution.
Dell Boomi vs Fivetran: Comprehensive Feature Set
Dell Boomi
Features: ETL/ELT processes, API management, EDI/B2B integration, workflow automation, data quality, and master data management. It also offers training, community forums, and professional services.
Fivetran
Although Fivetran excels in ELT capabilities and offers near real-time data replication, it lacks built-in reverse ETL and advanced transformation features. Users must depend on third-party tools for data transformation, adding to the complexity and cost.
Dell Boomi vs Fivetran: Flexibility and Customization
Dell Boomi
Custom scripting is supported via Groovy or JavaScript for complex transforms. Atoms can be deployed virtually anywhere for hybrid use cases. However, you rely on Boomi for core engine updates; it’s not open-source.
Fivetran
With Fivetran, the ability to transform data is more limited and often requires additional tools like DBT, which adds layers of complexity and can slow down the process for users who need quick and easy data manipulation.
Summary of Dell Boomi vs Fivetran vs Weld
| Weld | Dell Boomi | Fivetran | |
|---|---|---|---|
| Connectors | 200++ | 200+ | 700++ |
| Price | €99 / Unlimited usage | Subscription-based (per Atom/connection; starts ~$1000/month) | €1,052 / 2M Active Rows |
| Free tier | No | No | Yes |
| Location | EU | Austin, TX, USA | US |
| Extract data (ETL) | Yes | Yes | Yes |
| Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL) | Yes | Yes | No |
| Transformations | Yes | Yes | No |
| AI Assistant | Yes | No | No |
| On-Premise | No | Yes | No |
| Orchestration | Yes | Yes | No |
| Lineage | Yes | Yes | No |
| Version control | Yes | Yes | No |
| Load data to and from Excel | Yes | Yes | No |
| Load data to and from Google Sheets | Yes | No | No |
| Two-Way Sync | Yes | Yes | No |
| dbt Core Integration | Yes | No | Yes |
| dbt Cloud Integration | Yes | No | Yes |
| OpenAPI / Developer API | Yes | Yes | Yes |
| G2 Rating | 4.8 | 4.3 | 4.2 |
Conclusion
You’re comparing Dell Boomi, Fivetran, Weld. Each of these tools has its own strengths:
- Dell Boomi: features: etl/elt processes, api management, edi/b2b integration, workflow automation, data quality, and master data management. it also offers training, community forums, and professional services. . boomi’s pricing is multi-faceted—permanent atom licenses, per-connection pricing, and usage-based charges for transactions. smbs may need to request custom quotes to stay within budget. .
- Fivetran: although fivetran excels in elt capabilities and offers near real-time data replication, it lacks built-in reverse etl and advanced transformation features. users must depend on third-party tools for data transformation, adding to the complexity and cost.. fivetran’s pricing can be quite complex and increases significantly with the volume of data, making it potentially expensive for growing companies or those with large datasets. this can be a disadvantage for teams looking for a cost-effective solution..
- 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..
