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Comparing CloverDX with Equals and Weld

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

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Weld vs CloverDX vs Equals

WeldCloverDXEquals
Connectors200+150+
Price$99 / 5M Active RowsSubscription or perpetual licensing (custom quotes, typically $20k+ annually)
Free tier
LocationEUCulver City, CA, USAUS
Extract data (ETL)
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Transformations
AI Assistant
On-Premise
Orchestration
Lineage
Version control
Load to/from ExcelYes (Excel/CSV)
Load to/from Google SheetsYes (via API)
Two-Way Sync
dbt Core Integration
dbt Cloud Integration
OpenAPI / Developer API
G2 rating4.84.2

Overview

CloverDX in Short

CloverDX is an enterprise-grade ETL/ELT platform that emphasizes flexibility, automation, and scalability in designing complex data workflows. It supports both code-based and GUI-driven development, making it suitable for both developers and data engineers. It is also known for its transformation, data quality, and data migration capabilities. CloverDX helps to deliver a seamless onboarding process for clients, saving hours of manual work with automated conversion from any file format.

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Pros

  • Metadata-driven: automatic handling of schema drift and impact analysis across pipelines.

  • Visual Graphical Data Mixer for building data flows, with reusable subgraphs and components.

  • Supports both batch and streaming ingestion, with connectors to databases, cloud storage, Hadoop, and REST APIs.

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

Cons

  • High licensing costs make it less suitable for smaller teams or startups.

  • Designer IDE can feel heavy and less intuitive for simple tasks; learning curve for new users.

  • Less community presence than open-source tools, so third-party resources and tutorials are limited.

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 ability to run basic regression.

Overview

Equals in Short

Equals is an all-in-one GTM analytics platform that handles data sync, transformation, and analysis in a single interface. It automatically ETLs data from sources like Salesforce, HubSpot, Stripe, and SQL into a managed Snowflake warehouse, and then surfaces it in a spreadsheet-style BI layer for real-time pipeline, ARR, and other revenue metrics.

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Pros

  • Built-in ELT: automatically syncs data from Salesforce, HubSpot, Stripe, SQL, etc.

  • Managed Snowflake warehouse included (no infra to maintain)

  • BI spreadsheet interface: combine spreadsheet flexibility with live queries

  • Pre-built GTM templates for pipeline, ARR, churn, and more

  • Real-time alerts and Slack/email pushes keep teams aligned

Cons

  • Primarily focused on revenue/GTM analytics—less flexible for non-revenue use cases

  • Custom SQL transforms require some technical skill

  • Pricing can be high for companies that outgrow the included Snowflake instance

Reviews & Quotes

From an Equals customer success story:

What I like about Equals

Within a week, we had a pipeline performance dashboard up and running. Building something similar ourselves would have taken 3+ months.

What I dislike about Equals

Some advanced customization options (beyond the built-in GTM templates) require SQL knowledge and deeper familiarity with their Snowflake layer.

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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CloverDX

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Equals

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Weld

Ease of Use & Interface

Side-by-side

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CloverDX

CloverDX Designer is an Eclipse-based IDE where developers build data flow graphs. The drag-and-drop canvas is powerful but can feel cluttered for large projects. Reusable components and parameterization help, but initial learning is significant.

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Equals

Equals provides a familiar spreadsheet UI layered on top of live SQL queries, making it intuitive for analysts and revenue ops teams with spreadsheet backgrounds. The GTM-specific templates accelerate time-to-value.

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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

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CloverDX

CloverDX’s pricing is tiered by job servers, connector count, and features—often starting around $20k/year. Best for medium-to-large organizations requiring robust metadata handling and enterprise governance.

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Equals

Pricing is custom and scales with data volume and Snowflake usage. While it includes a managed Snowflake instance (removing infra overhead), costs can rise quickly once usage grows beyond the base tier.

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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

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CloverDX

Features include: visual data flow designer, metadata-driven transformations, automated schema evolution, batch & streaming support, job scheduling & monitoring, role-based access, and REST/JSON/XML connectors. Also offers advanced data quality and permutation-based testing.

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Equals

Equals combines ELT (data ingestion), a managed Snowflake warehouse, a BI spreadsheet interface, pre-built GTM dashboards, scheduled Slack/email alerts, and real-time collaboration. It’s designed end-to-end for revenue analytics.

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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

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CloverDX

Users can develop custom Java or Groovy components for specialized transformations, extend connectors via REST templates, and integrate with external schedulers. The open API allows embedding Clover DX in other applications.

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Equals

Users can drop into SQL when they need custom transformations or advanced modeling. While most teams rely on the built-in GTM templates, the platform is extensible via SQL and custom Snowflake functions for deeper bespoke analysis.

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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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