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Comparing Fivetran with Hevo and Weld

Carolina Russ
Carolina Russ6 min read
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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

  • Complex and expensive pricing model
  • Depends on external tools for data transformations (e.g., DBT)
  • Doesn't support data transformations pre-load
  • No AI assistant or advanced automation features
  • Steep learning curve for DBT beginners

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.
Read full review

What is Hevo

Hevo Data has ETL, ELT, and reverse-ETL capabilities, and is code-free with integrations to various tools and data warehouses. For non-technical users who want to get up and running with their data, Hevo can help. That said, experienced data specialists may wish for some more technical depth in the platform, giving them room to do more complex work.

Pros

  • Supports both ELT, ELT, and reserve ELT
  • Plenty of fully maintained connectors
  • Great for non-technical users
  • Simple UI that's easy to work with
  • Affordable pricing

Cons

  • Limited features for more advanced use cases
  • Limited custom scheduling features
  • Only 50 connectors are available on the Free plan
  • Lack of flexibility when wanting to edit pipelines
  • Error messages and status codes could be better

As one reviewer on G2 puts it: :

What I like about Hevo

Hevo is really good for normal pipelines, but it has some limitations for more complex use cases.

What I dislike about Hevo

Read full review

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.
Read full review

Feature-by-Feature Comparison

Ease of Use & Interface

Fivetran

While Fivetran offers a comprehensive set of connectors, it requires more technical knowledge, especially for setting up and managing advanced data transformations, as it may rely on external tools like DBT. In other words, Fivetran is easy to use for data ingestion, but transformations demand proficiency with SQL or DBT.

Hevo

Hevo is designed with non-technical users in mind, offering a simple UI and code-free capabilities, making it easy for beginners to use.

Pricing & 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.

Hevo

Hevo offers affordable pricing and a free plan with limited connectors, making it accessible for startups and small businesses. However, the costs can rise with data volume and feature needs.

Feature Set

Fivetran

Although Fivetran excels in ELT capabilities and offers near real-time data replication, it lacks advanced transformation features. Users must rely on DBT for advanced transformations, which introduces complexity but does not require a third-party platform if DBT Core is used.

Hevo

Hevo supports ETL, ELT, and reverse-ETL, making it versatile for different data needs. It also has plenty of fully maintained connectors, although it may lack some advanced features required by seasoned data professionals.

Flexibility & Customization

Fivetran

Fivetran relies on SQL-based transformations via DBT Core, which gives users power and flexibility but may not suit those needing quick, low-code manipulation.

Hevo

While Hevo is great for non-technical users, it lacks flexibility and customization options for more complex data tasks, making it less suitable for advanced data teams.

Summary of Fivetran vs Hevo vs Weld

WeldFivetranHevo
Connectors200+700+150+
Price$79 / No data volume limitsUsage-based, starting $500 for 1 million MARs (no fixed base)$299 / 5M rows
Free tierNoYesYes
LocationEUUSINDIA
Extract data (ETL)YesYesYes
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL)YesYesYes
TransformationsYesNoYes
AI AssistantYesNoNo
On-PremiseNoNoNo
OrchestrationYesYesNo
LineageYesYesNo
Version controlYesNoNo
Load data to and from ExcelYesYesNo
Load data to and from Google SheetsYesYesNo
Two-Way SyncYesNoNo
dbt Core IntegrationYesYesYes
dbt Cloud IntegrationYesYesNo
OpenAPI / Developer APIYesYesYes
G2 Rating4.84.24.3

Conclusion

You’re comparing Fivetran, Hevo, Weld. Each of these tools has its own strengths:

  • Fivetranalthough fivetran excels in elt capabilities and offers near real-time data replication, it lacks advanced transformation features. users must rely on dbt for advanced transformations, which introduces complexity but does not require a third-party platform if dbt core is used.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..
  • Hevohevo supports etl, elt, and reverse-etl, making it versatile for different data needs. it also has plenty of fully maintained connectors, although it may lack some advanced features required by seasoned data professionals.hevo offers affordable pricing and a free plan with limited connectors, making it accessible for startups and small businesses. however, the costs can rise with data volume and feature needs..
  • Weldweld 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..
Review the detailed sections above—connectors, pricing, feature set, and integrations—and choose the one that best matches your technical expertise, budget, and use cases.

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