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Comparing Fivetran with Talend and Weld

You’re comparing Fivetran vs Talend vs Weld. Explore how they differ on connectors, pricing, and features. Ed Logo

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Weld vs Fivetran vs Talend

WeldFivetranTalend
Connectors200+700+100+
Price$99 / 5M Active RowsUsage-based, starting $500 for 1 million MARs (no fixed base)Custom price
Free tier
LocationEUUSUS
Extract data (ETL)
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Transformations
AI Assistant
On-Premise
Orchestration
Lineage
Version control
Load to/from Excel
Load to/from Google Sheets
Two-Way Sync
dbt Core Integration
dbt Cloud Integration
OpenAPI / Developer API
G2 rating4.84.24

Overview

Fivetran in Short

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.

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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

Reviews & Quotes

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.

Overview

Talend in Short

Talend's data integration tool, one piece of the broader Talend Data Fabric platform. Talend's complete software is a robust data solution that goes beyond data integration to also encompass data quality management, data integrity and governance, application and API integration, and more. With both ELT and ETL capabilities, Talend is a good option for those with on-premise data warehousing and/or a cloud-based data warehouse. Geared towards larger enterprises, the complete Talend product is generally best suited for seasoned experts and large, mature data teams.

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Pros

  • Large number of connectors

  • Robust feature set

  • Lots of advanced features for larger enterprises and data teams

  • Has both ELT and ETL capabilities

  • On premise options

Cons

  • Expensive for small businesses

  • Steep learning curve for non-technical users

  • Requires a large upfront investment and implementation

Reviews & Quotes

As a reviewer on Gartner states: :

What I like about Talend

We are satisfied with Qlik Talend cloud, it enabled for us a seamless data integration and transformation, thanks to the tight integration with Qlik Cloud analytics.

What I dislike about Talend

Is a very good tool however this tool is better for data migration and a little lacking/ or difficult to use when it comes to some cleansing or further analysis.

Overview

Weld in Short

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.

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Pros

  • Lineage, orchestration, and workflow features

  • Ability to handle large datasets and near real-time data sync

  • ETL + reverse ETL in one

  • User-friendly and easy to set up

  • Flat monthly pricing model

  • 200+ connectors (Shopify, HubSpot, etc.)

  • AI assistant

Cons

  • Requires some technical knowledge around data warehousing and SQL

  • Limited features for advanced data teams

  • Focused on cloud data warehouses

Reviews & Quotes

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

Feature
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Fivetran

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Talend

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Weld

Ease of Use & Interface

Side-by-side

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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.

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Talend

Talend has a steep learning curve, especially for non-technical users, due to its extensive feature set and advanced capabilities, which require significant training and experience to utilize fully.

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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.

Pricing & Affordability

Side-by-side

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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.

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Talend

Talend's pricing is custom and can be expensive, especially for small businesses. It requires a substantial upfront investment, making it more suitable for large enterprises with significant data needs.

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Weld

Weld offers a straightforward and competitive pricing model, starting at $79 for 5 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises.

Feature Set

Side-by-side

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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.

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Talend

Talend offers a robust feature set with a large number of connectors, supporting both ELT and ETL capabilities, along with options for on-premise deployments. It is well-suited for mature data teams needing comprehensive data integration and management.

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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.

Flexibility & Customization

Side-by-side

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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.

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Talend

Talend provides flexibility and customization options, making it ideal for large enterprises with complex data needs. However, this comes at the cost of ease of use, particularly for less experienced users.

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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.

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