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Comparing Dataddo with Talend and Weld

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

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Weld vs Dataddo vs Talend

WeldDataddoTalend
Connectors200+398+100+
Price$99 / 5M Active Rows$99.00 / mo for 3 data flows to sync data between any source and destinationCustom price
Free tier
LocationEUUS/EUUS
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 rating4.84.74

Overview

Dataddo in Short

Dataddo is a fully managed, no-code data integration platform designed for business users, marketers, and analysts who need quick access to data without engineering support. It supports over 300 prebuilt connectors to cloud apps, databases, and BI tools, and offers flexible data flows for ETL, ELT, reverse ETL, and dashboard integrations. If a specific connector isn’t available, Dataddo will build it on request. The platform emphasizes ease of use, with automated handling of API changes, built-in pipeline monitoring, and a “SmartCache” feature that temporarily stores historical data, allowing teams to run reports without immediately setting up a data warehouse. With support for secure data practices (SOC 2, ISO 27001, GDPR compliance) and simple, transparent pricing plans, including a free tier, Dataddo is ideal for organizations looking to centralize data quickly and with minimal overhead.

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Pros

  • No-code interface makes setup simple for non-technical users.

  • Integrates with 300+ platforms, including many marketing and CRM tools.

  • Onboarding and connector requests are generally well-handled.

  • Offers competitive pricing, especially for small teams.

Cons

  • Some users report delays for complex issues.

  • New or niche sources may not be instantly available.

  • Cancelling or modifying plans can be frustrating.

Reviews & Quotes

G2 Review:

What I like about Dataddo

It is so user friendly and doesnt have any learning curve. Any user can really understand and create their own custom flows without any external support

What I dislike about Dataddo

If a flow is created, Dataddo needs to introduce how to add more features in the flow (maybe edit columns or add/remove them instead of creating and replacing with a net new flow).

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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Dataddo

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Talend

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Weld

Ease of Use & Interface

Side-by-side

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Dataddo

Dataddo offers a clean, intuitive no-code interface that allows users to set up data flows quickly. The drag-and-drop flow builder and prebuilt connectors minimize the learning curve, making it accessible for non-technical users.

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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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Dataddo

Pricing is straightforward and competitive, with plans starting at $99/month for three data flows. The free tier allows users to test the platform with limited functionality before committing to a paid plan.

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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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Dataddo

Dataddo supports over 300 connectors, ETL/ELT workflows, reverse ETL capabilities, data transformations, and built-in monitoring.

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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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Dataddo

While Dataddo is primarily designed for ease of use, it still offers flexibility through its wide range of connectors and the ability to create custom data flows. However, it may not provide the same level of customization as more technical platforms.

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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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