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Weld vs CloverDX vs DashThis

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

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Weld vs CloverDX vs DashThis

FeatureWeldCloverDXDashThis
Core Platform
Price
$79 / 5M Active Rows
Subscription or perpetual licensing (custom quotes, typically $20k+ annually)
$38 / month
Free tier
No
No
No
Location
DK, (EU)
Culver City, CA, USA
CA
Connectors & Sync
Connectors
200+
150+
34+
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
Yes
No
AI Assistant
Yes
No
No
dbt Core Integration
Yes
No
No
dbt Cloud Integration
Yes
No
No
Governance & DevOps
Orchestration
Yes
Yes
No
Lineage
Yes
Yes
No
Version control
Yes
Yes
No
On-Premise
No
Yes
No
OpenAPI / Developer API
Yes
Yes
No
Integrations
Load to/from Excel
Yes
Yes (Excel/CSV)
No
Load to/from Google Sheets
Yes
Yes (via API connector)
No
Ratings
G2 rating
4.8
4.2
4.8

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

CloverDX in Short

CloverDX is an enterprise-grade ETL/ELT platform designed for building flexible, scalable, and automated data workflows. It supports both GUI-based and code-driven development within an Eclipse-based Designer and excels at data transformation, data quality, and large-scale data migration. The platform is commonly used for complex data onboarding, where automated conversions from various file formats reduce manual work.

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Pros

  • Metadata-driven development with schema drift handling and built-in impact analysis.

  • Visual data flow designer with reusable subgraphs and components.

  • Supports batch and streaming ingestion across databases, cloud storage, REST APIs, and Hadoop ecosystems.

  • Built-in orchestration with scheduling, monitoring, alerting, and role-based access control.

Cons

  • Enterprise licensing can be costly, making it less accessible for smaller teams.

  • Eclipse-based Designer IDE can feel heavy and requires onboarding time for new users.

  • Smaller community and fewer third-party tutorials compared to open-source or more widely adopted tools.

Reviews & Quotes

Gartner Peer Review:

What I like about CloverDX

Ability to design elegant data flows and work with really dirty data. The visual design ensures that you write proper rules to deal with a variety of data quality issues.

What I dislike about CloverDX

Lack of support for AI, machine learning, neural networks, and the ability to run basic regression.

Overview

DashThis in Short

DashThis is a marketing reporting and analytics platform that helps businesses track and measure their marketing performance across all channels. It offers a comprehensive set of features, including pre-built templates, custom reports, white-labeling capabilities, and integrations with over 300 marketing platforms.

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Pros

  • Comprehensive reporting capabilities

  • Easy to use interface

  • Wide range of integrations

  • White-labeling capabilities

Cons

  • Expensive for small businesses

  • Some advanced features require a learning curve

  • Limited reporting customization options

  • Lack of real-time data reporting

Reviews & Quotes

A reviewer on G2:

What I like about DashThis

I like that DashThis is very easy to use. I can create beautiful and informative reports in a matter of minutes, without any coding knowledge. I also like that DashThis integrates with a wide variety of marketing platforms, so I can pull data from all of my sources into one place.

Feature-by-Feature Comparison

Feature
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Ease of Use & Interface

Side-by-side

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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.

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CloverDX Designer provides a visual canvas for building data flows alongside code-based components. It is powerful for complex workflows, though the IDE can become cluttered in large projects and has a moderate learning curve.

dashthis logo

DashThis is easy to use and ideal for building marketing dashboards quickly, with no technical knowledge required.

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.

cloverdx logo

CloverDX typically starts around $20k per year, with pricing based on job servers, deployment size, and feature tiers. It is best suited for mid-sized and enterprise organizations with complex integration or governance needs.

dashthis logo

DashThis is on the expensive side for smaller teams, especially because it does not offer a free tier.

Feature Set

Side-by-side

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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.

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Key features include a visual data flow designer, metadata-driven transformations, batch and streaming pipelines, automated schema evolution, built-in job orchestration, monitoring, RBAC, REST and file-based connectors, and advanced data quality capabilities.

dashthis logo

The platform provides solid marketing reporting features and white-label options, but lacks real-time data and advanced analytics.

Flexibility & Customization

Side-by-side

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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.

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CloverDX allows custom Java or Groovy components, supports REST-based extensions, integrates with external schedulers, and offers an open API for embedding the engine into other applications. The platform provides strong flexibility but requires engineering expertise for deep customization.

dashthis logo

DashThis works well for simple reporting but offers limited customization for more advanced data or reporting needs.

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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.
Rodrigo Andres Valle, Data Engineer at Holafly
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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