Comparing Fivetran with Weld
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What is Fivetran
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
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.
Fivetran vs Weld: Ease of Use and User Interface
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.
Weld
Weld is highly praised for its user-friendly interface and intuitive design, which allows even users with minimal SQL experience to manage data workflows efficiently. This makes it an excellent choice for smaller data teams or businesses without extensive technical resources.
Fivetran vs Weld: Pricing Transparency and Affordability
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.
Weld
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.
Fivetran vs Weld: Comprehensive Feature Set
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.
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.
Fivetran vs Weld: Flexibility and Customization
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.
Weld
Weld offers advanced SQL modeling and transformations directly within its platform with the help of AI, providing users with unparalleled control and flexibility over their data. Leveraging its powerful AI capabilities, Weld automates repetitive tasks and optimizes data workflows, allowing teams to focus on getting value and insights. Additionally, Weld's custom connector framework enables users to build connectors to any API, making it easy to integrate new data sources and tailor data pipelines to meet specific business needs. This flexibility is particularly beneficial for teams looking to customize their data integration processes extensively and maximize the utility of their data without needing external tools.
Summary of Fivetran vs Weld
| Weld | Fivetran | |
|---|---|---|
| Connectors | 150+ | 500+ |
| Price | $99 / 2 connectors | $1,052 / 2M Active Rows |
| Free tier | No | Yes |
| Extract data (ETL) | Yes | Yes |
| Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL) | Yes | No |
| Version control | Yes | No |
| Orchestration | Yes | No |
| Lineage | Yes | No |
| AI Assistant | Yes | No |
| Load data to and from Excel | Yes | No |
| Load data to and from Google Sheets | Yes | No |
| Two-Way Sync | Yes | No |
| G2 Rating | 4.8 | 4.2 |
Conclusion
When comparing Fivetran and Weld, Weld emerges as a more cost-effective and efficient platform, particularly for businesses looking to save on operational costs and minimize the need for large data engineering teams. Weld offers all the capabilities of Fivetran, including ELT, data transformations, and reverse ETL, but with significantly less manpower required to manage and maintain data workflows. Weld’s all-in-one solution, enhanced by its advanced AI capabilities, automates repetitive tasks, optimizes data workflows, and reduces the need for extensive manual intervention. This automation not only streamlines processes but also cuts down on the high costs associated with managing large volumes of data and employing a large data engineering team. Furthermore, Weld's straightforward and affordable pricing model makes it an attractive option for companies aiming to manage their data more efficiently and economically. In contrast, Fivetran’s dependence on external tools for data transformation and its complex, volume-based pricing model can lead to higher expenses and greater resource demands, particularly for businesses that require extensive customization and control over their data workflows.
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