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Comparing CloverDX with Equals and Weld

Carolina Russ
Carolina Russ6 min read
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What is CloverDX

CloverDX is a commercial data integration platform offering a visual designer ("Graphical Data Mixer"), a server to run jobs, and monitoring tools. It supports both batch and streaming data, with a focus on metadata-driven development and automation. CloverDX can run on-premise or in the cloud and integrates with wide-ranging data sources, including databases, flat files, Hadoop, and APIs.

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.

CloverDX Pricing and Licensing:

What I like about CloverDX

CloverDX’s intelligent metadata framework automatically adjusts mappings when schemas change. Its job scheduler and reusable components accelerate development.

What I dislike about CloverDX

Licensing can be expensive for smaller operations, and the designer UI can be less intuitive than simpler ETL tools.
Read full review

What is Equals

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.

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

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.
Read full review

What is Weld

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.

Pros

  • Premium quality connectors and reliability
  • User-friendly and easy to set up
  • AI assistant
  • Very competitive and easy-to-understand pricing model
  • Reverse ETL option
  • Lineage, orchestration, and workflow features
  • Advanced transformation and SQL modeling capabilities
  • Ability to handle large datasets and near real-time data sync
  • Combines data from a wide range of sources for a single source of truth

Cons

  • Requires some technical knowledge around data warehousing and SQL
  • Limited features for advanced data teams

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.
Read full review

Feature-by-Feature Comparison

Ease of Use & Interface

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.

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.

Pricing & Affordability

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.

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.

Feature Set

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.

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.

Flexibility & Customization

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.

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.

Summary of CloverDX vs Equals vs Weld

WeldCloverDXEquals
Connectors200+150++
Price$79 / No data volume limitsSubscription or perpetual licensing (custom quotes, typically $20k+ annually)
Free tierNoNoNo
LocationEUCulver City, CA, USAUS
Extract data (ETL)YesYesYes
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL)YesNoNo
TransformationsYesYesYes
AI AssistantYesNoNo
On-PremiseNoYesNo
OrchestrationYesYesNo
LineageYesYesNo
Version controlYesYesNo
Load data to and from ExcelYesYesNo
Load data to and from Google SheetsYesYesNo
Two-Way SyncYesNoNo
dbt Core IntegrationYesNoNo
dbt Cloud IntegrationYesNoNo
OpenAPI / Developer APIYesYesNo
G2 Rating4.84.2

Conclusion

You’re comparing CloverDX, Equals, Weld. Each of these tools has its own strengths:

  • CloverDXfeatures 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. 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. .
  • Equalsequals 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.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..
  • Weldweld 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.weld offers a straightforward and competitive pricing model, starting at $99 for 2 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises..
Review the detailed sections above—connectors, pricing, feature set, and integrations—and choose the one that best matches your technical expertise, budget, and use cases.

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