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Weld vs Adverity vs CloverDX

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

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Weld vs Adverity vs CloverDX

FeatureWeldAdverityCloverDX
Core Platform
Price
$79 / 5M Active Rows
$500+/month depending on data volume and feature access
Subscription or perpetual licensing (custom quotes, typically $20k+ annually)
Free tier
No
No
No
Location
DK, (EU)
Austria
Culver City, CA, USA
Connectors & Sync
Connectors
200+
600+
150+
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
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
Yes (Excel/CSV)
Load to/from Google Sheets
Yes
No
Yes (via API connector)
Ratings
G2 rating
4.8
4.5
4.2

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

Adverity in Short

Adverity is a data integration platform designed for marketing and analytics teams. It provides over 600 connectors to advertising platforms, analytics tools, commerce systems, and file storage. The platform focuses on centralizing siloed marketing data, enabling transformation and harmonization workflows, and exporting data into BI tools or warehouses. It is positioned toward enterprise and agency teams managing large-scale campaign and performance data.

adverity logo

Pros

  • Wide range of marketing and commerce connectors (600+)

  • Transformation and harmonization features built-in

  • Data quality monitoring (e.g., anomaly detection, deduplication)

  • Designed for marketing workflows and campaign reporting

  • Enterprise clients include brands like Colgate, IKEA, and Porsche

Cons

  • Higher pricing tier; not ideal for small teams

  • Learning curve for full platform adoption

  • Visualization and reporting features are limited

  • Performance may degrade with large-scale datasets

  • Lacks reverse ETL and advanced orchestration features

Reviews & Quotes

A reviewer on Capterra:

What I like about Adverity

Ease of use, various data connection points readily available for integration and extraction, ranging from Social platforms to various DSPs. Users can easily set up a frequent data update and even connect with other dashboards like Data Studio.

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.

Feature-by-Feature Comparison

Feature
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adverity logo
cloverdx 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.

adverity logo

Adverity offers a clean interface and no-code setup for ingesting marketing data, but configuring transformation logic and understanding data harmonization workflows may require technical onboarding.

cloverdx logo

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.

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.

adverity logo

Adverity is positioned toward enterprise teams with dedicated marketing analytics functions. Pricing typically starts above $500/month and increases with data volumes and advanced feature usage.

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.

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.

adverity logo

The platform offers ELT, data transformation, and quality monitoring, with a primary focus on marketing data. It does not support reverse ETL or orchestration features typical of modern data stacks.

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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.

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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Adverity allows some transformation scripting and customization, but lacks extensibility via open APIs or full developer tooling. The platform is more suited to structured marketing workflows than custom pipeline engineering.

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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.

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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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