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Weld vs Supermetrics vs Talend

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

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Weld vs Supermetrics vs Talend

FeatureWeldSupermetricsTalend
Core Platform
Price
$79 / 5M Active Rows
starts at $29 / month
Custom price, volume based
Free tier
No
No
No
Location
DK, (EU)
FI
US
Connectors & Sync
Connectors
200+
128+
100+
Extract data (ETL)
Yes
Yes
Yes
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Yes
No
No
Two-Way Sync
Yes
No
No
Transformations & AI
Transformations
Yes
No
Yes
AI Assistant
Yes
No
No
dbt Core Integration
Yes
No
No
dbt Cloud Integration
Yes
No
No
Governance & DevOps
Orchestration
Yes
No
Yes
Lineage
Yes
No
Yes
Version control
Yes
No
Yes
On-Premise
No
No
Yes
OpenAPI / Developer API
Yes
No
Yes
Integrations
Load to/from Excel
Yes
No
No
Load to/from Google Sheets
Yes
No
No
Ratings
G2 rating
4.8
4.4
4

Overview

Weld in Short

Weld is a unified ELT and data activation platform that combines ingestion, modeling, transformations, orchestration, lineage, and reverse ETL in a single SaaS interface. With premium in-house–built connectors, an intuitive UI, and near real-time syncs, Weld enables both technical and non-technical users to create and manage data workflows efficiently. Weld also includes an AI assistant to support SQL modeling, generate transformations, and streamline repetitive tasks. Teams can ingest data from a wide range of sources—including marketing platforms, CRMs, databases, Google Sheets, Excel, and APIs—into their cloud data warehouse and activate it back into business tools.

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Pros

  • Lineage, orchestration, and workflow features included by default

  • Handles large datasets and near real-time data sync

  • ELT and reverse ETL in one platform

  • User-friendly interface with minimal setup required

  • Flat, predictable monthly pricing model

  • 200+ in-house–built, high-quality connectors

  • AI assistant for modeling and transformations

Cons

  • Some SQL knowledge is useful for advanced modeling

  • Optimized for cloud-warehouse workflows (Snowflake, BigQuery, Redshift, etc.)

  • Feature set is streamlined for modern ELT/activation use cases

Reviews & Quotes

A reviewer on G2 said:

What I like about Weld

Weld’s graphical interface is intuitive and easy to work with, even for teams with limited SQL experience. Its flexibility across sources—from databases to Google Sheets and APIs—made onboarding smooth, and performance across larger workloads was consistently strong. Support was responsive and helpful throughout our setup and ongoing use.

Overview

Supermetrics in Short

Supermetrics is a powerful data integration tool that's particularly popular among marketers. It allows you to fetch data from various marketing platforms, such as Google Ads, Facebook Ads, and Google Analytics, and then transfer it into a data warehouse, spreadsheet, or BI tools like Looker, Google Data Studio, or PowerBI. The automation it provides saves time and reduces the chance of errors that come with manual data transfers.

supermetrics logo

Pros

  • Easy to use

  • Pre-built reports

  • Google Sheets destination

  • Flexibility in data storage and visualization options

Cons

  • Complex pricing model

  • Expensive

  • Limited data transformation capabilities

  • Slow data refresh rates

  • Can be glitchy

  • Not suitable for very large datasets

Reviews & Quotes

A reviewer on G2:

What I like about Supermetrics

Supermetrics is so easy to use, and the user interface for Google Sheets is intuitive and fast. There is a huge number of connectors available. I liked the scheduling options in my legacy plan, with hourly refreshes available. The customer support is premium and fast.

What I dislike about Supermetrics

There is a limited set of connectors available in the less expensive pricing plans, and the pricing has increased significantly over the years.

Overview

Talend in Short

Talend is now part of Qlik and forms the foundation of the Qlik Talend Data Integration and Data Quality suite. The platform includes Talend Data Fabric and Qlik Talend Cloud, offering data integration, data quality, governance, application integration, and API management. It supports both ETL and ELT patterns and provides deployment flexibility across cloud, on-premise, and hybrid environments. Talend is generally positioned for larger or more mature data teams that need broad capabilities rather than a simple plug-and-play pipeline tool.

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Pros

  • Large set of enterprise-grade connectors and integration patterns

  • Supports ETL, ELT, APIs, and real-time pipelines

  • Strong data quality and governance capabilities

  • Flexible deployment: cloud, hybrid, and on-premise

  • Advanced features suitable for complex enterprise environments

Cons

  • Complex and harder to use for non-technical users

  • Pricing is custom and often expensive for smaller teams

  • Implementation can require significant setup and ongoing maintenance

  • More capabilities than needed for simple or mid-market workflows

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

It's 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.

Feature-by-Feature Comparison

Feature
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supermetrics logo
talend logo

Ease of Use & Interface

Side-by-side

weld logo

Weld’s interface is built for clarity and speed, enabling users with varying levels of technical experience to manage data pipelines and models efficiently. Its built-in lineage and orchestration tools provide transparency across workflows.

supermetrics logo

Supermetrics is easy to use, especially for marketers who need to fetch data quickly from various platforms and transfer it to spreadsheets or BI tools.

talend logo

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.

Pricing & Affordability

Side-by-side

weld logo

Weld offers a simple and predictable pricing model starting at $79 for 5 million active rows. This flat, usage-transparent structure makes budgeting straightforward for small and medium-sized teams.

supermetrics logo

The pricing model for Supermetrics can be complex and expensive, which might be a concern for small businesses or those with limited budgets.

talend logo

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.

Feature Set

Side-by-side

weld logo

Weld provides ELT ingestion, SQL-based transformations, reverse ETL activation, data lineage, orchestration, and workflow management in a single platform. Its AI assistant accelerates modeling and transformation tasks.

supermetrics logo

Supermetrics offers pre-built reports and flexibility in data storage and visualization, but has limited data transformation capabilities and may have slow data refresh rates.

talend logo

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.

Flexibility & Customization

Side-by-side

weld logo

Users can model data using SQL enhanced by Weld’s AI assistant, automate workflows, and build custom connectors to any API. This provides strong flexibility for teams that want to tailor integrations and transformations within one platform.

supermetrics logo

Supermetrics provides flexibility in where data can be stored and visualized, but may lack advanced customization options for more technical users.

talend logo

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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CUSTOMER STORIES

The latest success stories from data-driven companies

Jacob Poulsen, Head of Marketing Expansion at Flatpay logo

How Flatpay optimized marketing efficiency with Weld

One of the biggest impacts has been unlocking new ways to buy media. Before, we didn’t have the data to back up strategic decisions – now we do.
Jacob Poulsen, Head of Marketing Expansion at Flatpay
Rodrigo Andres Valle, Data Engineer at Holafly logo

How Holafly transformed data management and scaled globally with Weld

Before Weld, we had to rely on custom Python scripts and manual processes that were time-consuming and error-prone.
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Michael Howes, Head of Data & Insights at Dishoom logo

How Dishoom scaled data operations without scaling its team

We’re still a team of three, but we’re often doing far more than the equivalent of three full-time employees. That’s down to how we're able to leverage systems, data, and processes.
Michael Howes, Head of Data & Insights at Dishoom
Sven Hasenberg, CFO, VitaMoment logo

Inside VitaMoment’s Journey to KPI-Driven Growth and Data Ownership

We’ve always been a KPI-driven company. But we wanted to scale that mindset across every team member, every team, every decision.
Sven Hasenberg, CFO, VitaMoment
Temur Makhsudov, Head of BI and Operations logo

How Danish Endurance boosted profitability by 77 % and transformed data management with Weld

Before Weld, our data infrastructure was limited and we relied heavily on Excel files and custom Python scripts.
Temur Makhsudov, Head of BI and Operations
Matias Voldby Drejer, BI Lead logo

How Female Invest centralized data management and saved resources with Weld

Weld has saved us a ton of time, from not having data ready to having a fully functional data warehouse and connectors.
Matias Voldby Drejer, BI Lead
Jonas Iversen, Tech Lead Data logo

How Soundboks streamlined data integration with Weld, S3, and Databricks

By integrating Weld, Amazon S3, and Databricks, Soundboks built a modern data pipeline that automates data ingestion, improves reporting, and provides up-to-date visibility into sales performance
Jonas Iversen, Tech Lead Data
Jens Karstoft, Chief Operating Officer at Roccamore logo

How Roccamore unlocked better business insights with Weld

We didn’t have a good data setup, so we lacked the business insights we needed. Weld has allowed us to set up a structured data infrastructure and access insights quickly.
Jens Karstoft, Chief Operating Officer at Roccamore

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