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”
Comparing CloverDX with Etlworks Integrator and Weld
You’re comparing CloverDX vs Etlworks Integrator vs Weld. Explore how they differ on connectors, pricing, and features. 
Loved by data teams from around the world
Weld vs CloverDX vs Etlworks Integrator
| Weld | CloverDX | Etlworks Integrator | |
|---|---|---|---|
| Connectors | 200+ | 150+ | 300+ |
| Price | $99 / 5M Active Rows | Subscription or perpetual licensing (custom quotes, typically $20k+ annually) | Credit-based (e.g., $0.10/credit; volume discounts available) |
| Free tier | |||
| Location | EU | Culver City, CA, USA | Pittsburgh, PA, USA |
| Extract data (ETL) | |||
| Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL) | |||
| Transformations | |||
| AI Assistant | |||
| On-Premise | |||
| Orchestration | |||
| Lineage | |||
| Version control | |||
| Load to/from Excel | Yes (Excel/CSV) | Yes (via file connectors) | |
| Load to/from Google Sheets | Yes (via API) | Yes (Google Sheets) | |
| Two-Way Sync | |||
| dbt Core Integration | |||
| dbt Cloud Integration | |||
| OpenAPI / Developer API | |||
| G2 rating | 4.8 | 4.2 | 4.5 |
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.
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 dislike about CloverDX
“Lack of support for AI, Machine learning, Neural networks and ability to run basic regression.”
Overview
Etlworks Integrator in Short
Etlworks Integrator is a cloud-based ETL platform that provides over 300 connectors (databases, SaaS, files, big data) and a visual interface to build complex data flows. It can run both batch and streaming pipelines, support transformations via SQL or JavaScript, and integrate with Kafka, Snowflake, Redshift, Google BigQuery, and more. It also offers features for data replication, CDC, and workflow orchestration.
Pros
300+ connectors for databases, cloud storage, SaaS apps, and streaming platforms.
Supports both batch and streaming (CDC) with configurable schedules and triggers.
Transformations via SQL, JavaScript, or built-in functions; data validation and error-handling features.
Cloud-based with on-prem runtime options for connecting to internal resources securely.
Cons
UI complexity: designing flows with many steps can be difficult to navigate.
Subscription is credit-based (e.g., $0.10/credit), making cost estimation tricky for variable workloads.
Less brand recognition and community support compared to leading ETL tools.
Reviews & Quotes
Etlworks Integrator Features:
What I like about Etlworks Integrator
“Etlworks Integrator’s breadth of connectors and flexible transformation engine (SQL/JavaScript) let us integrate data from dozens of sources quickly.”
What I dislike about Etlworks Integrator
“The UI can be overwhelming for beginners, and pricing (credit-based) can be hard to predict for varying workloads.”
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.
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
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
CloverDX
Etlworks Integrator
Weld
Feature
CloverDX
Etlworks Integrator
Weld
Ease of Use & Interface
Side-by-side
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.
Etlworks Integrator
Etlworks Integrator’s Flow Designer uses a canvas with source, transformation, and destination steps. While powerful and flexible, the interface has a steep learning curve; nested steps and branching can become difficult to visualize.
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.
Ease of Use & Interface
Side-by-side
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.
Etlworks Integrator’s Flow Designer uses a canvas with source, transformation, and destination steps. While powerful and flexible, the interface has a steep learning curve; nested steps and branching can become difficult to visualize.
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
Side-by-side
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.
Etlworks Integrator
Charges are based on credits consumed by data volume and transformations. Free trial provides limited credits. For predictable workloads, budget forecasting requires careful usage analysis.
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.
Pricing & Affordability
Side-by-side
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.
Charges are based on credits consumed by data volume and transformations. Free trial provides limited credits. For predictable workloads, budget forecasting requires careful usage analysis.
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
Side-by-side
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.
Etlworks Integrator
Features include: 300+ connectors, CDC replication, batch/streaming pipelines, SQL/JavaScript transformations, error handling, scheduling, and secure on-prem gateways. Also supports webhooks and REST API triggers.
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.
Feature Set
Side-by-side
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.
Features include: 300+ connectors, CDC replication, batch/streaming pipelines, SQL/JavaScript transformations, error handling, scheduling, and secure on-prem gateways. Also supports webhooks and REST API triggers.
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
Side-by-side
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.
Etlworks Integrator
Supports embedding custom JavaScript or calling external services within pipelines. Can deploy integration nodes on-premise to access internal networks. Pipelines can be exported/imported for version control.
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.
Flexibility & Customization
Side-by-side
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.
Supports embedding custom JavaScript or calling external services within pipelines. Can deploy integration nodes on-premise to access internal networks. Pipelines can be exported/imported for version control.
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.
Compare more ETL tools
Select up to three tools to compare.
AWARD WINNING ETL PLATFORM
Recognized as a leading ETL platform for seamless data movement
Get started with Weld
Spend less time managing data and more time getting real insights.
