You’re comparing Weld vs Dataddo vs MuleSoft (Anypoint Platform). Explore how they differ on connectors, pricing, and features. 
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| Feature | Weld | Dataddo | MuleSoft (Anypoint Platform) |
|---|---|---|---|
| Core Platform | |||
| Price | $79 / 5M Active Rows | $99/month for 3 data flows between any source and destination | Enterprise vCore subscription (typically high-cost) |
| Free tier | No | Yes | No |
| Location | DK, (EU) | US / EU | US |
| Connectors & Sync | |||
| Connectors | 200+ | 398+ | 150+ |
| Extract data (ETL) | Yes | Yes | Yes |
| Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL) | Yes | Yes | Yes |
| Two-Way Sync | Yes | Yes | Yes |
| 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 | Yes | Yes |
| Lineage | Yes | Yes | Yes |
| Version control | Yes | No | Yes |
| On-Premise | No | No | Yes |
| OpenAPI / Developer API | Yes | No | Yes |
| Integrations | |||
| Load to/from Excel | Yes | No | No |
| Load to/from Google Sheets | Yes | Yes | No |
| Ratings | |||
| G2 rating | 4.8 | 4.7 | 4.4 |
Overview
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.
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
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
A reviewer on G2 said:
Overview
Dataddo is a fully managed, no-code data integration platform designed for business users, marketers, and analysts who need quick, reliable access to data without engineering support. It offers 300+ prebuilt connectors, supports ETL, ELT, and reverse ETL, and handles API changes automatically. Dataddo also includes monitoring, SmartCache for temporary historical storage, custom connector development on request, and maintains SOC 2 / ISO 27001 / GDPR compliance.
No-code interface simplifies setup for non-technical users.
Supports 300+ connectors including many marketing and CRM tools.
Custom connectors available on request.
Competitive pricing, especially for smaller teams.
Some users report delays for support with complex issues.
Niche connectors may not be immediately available.
Plan changes or cancellation can be inconvenient.
G2 Review:
“It is so user friendly and doesn’t have any learning curve. Any user can understand and create their own custom flows without external support.”
“If a flow is created, Dataddo needs to introduce how to add more features in the flow (maybe edit columns or add/remove them instead of creating and replacing a new flow).”
Overview
MuleSoft’s Anypoint Platform is an enterprise integration and API management solution that supports real-time APIs, messaging, ESB patterns, and batch ETL-style pipelines. It offers 150+ enterprise connectors, a hybrid deployment model, and the DataWeave transformation language, making it suitable for large organizations with complex integration requirements.
150+ enterprise-grade connectors for SaaS apps, databases, mainframes, and protocols
Hybrid deployment support: on-prem, private cloud, or CloudHub managed runtime
Powerful DataWeave language for advanced transformation logic
Supports both real-time APIs and scheduled/batch integrations
Enterprise architecture features: high availability, clustering, monitoring, SLAs
Comprehensive tooling (Anypoint Studio, API Manager, Anypoint Exchange)
Steep learning curve; requires dedicated integration developers
High licensing costs (vCore-based), best suited for large enterprises
More complex and time-consuming to build pipelines compared to low-code ELT tools
Self-managed deployments require substantial operational maintenance
IDE and tooling can feel heavy compared to more modern low-code solutions
Summary from G2 Review:
“MuleSoft’s Anypoint Platform offers a wide set of enterprise connectors and a strong integration engine, supporting both API-led connectivity and batch-style integrations across cloud and on-prem systems.”
Side-by-side
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.
Dataddo provides a clean, intuitive no-code interface. Prebuilt connectors and the drag-and-drop flow builder minimize the learning curve, making setup fast even for non-technical users.
MuleSoft is developer-focused and centered around Anypoint Studio, an Eclipse-based IDE. It is powerful but requires training and strong integration expertise to use effectively.
Side-by-side
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.
Dataddo provides a clean, intuitive no-code interface. Prebuilt connectors and the drag-and-drop flow builder minimize the learning curve, making setup fast even for non-technical users.
MuleSoft is developer-focused and centered around Anypoint Studio, an Eclipse-based IDE. It is powerful but requires training and strong integration expertise to use effectively.
Side-by-side
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.
Pricing is predictable and competitive, starting at $99/month for three flows. A free tier with limited capabilities lets users experiment before upgrading.
MuleSoft is positioned at the enterprise end of the market with vCore-based pricing, making it one of the more expensive integration platforms. Costs align with large-scale, mission-critical use cases.
Side-by-side
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.
Pricing is predictable and competitive, starting at $99/month for three flows. A free tier with limited capabilities lets users experiment before upgrading.
MuleSoft is positioned at the enterprise end of the market with vCore-based pricing, making it one of the more expensive integration platforms. Costs align with large-scale, mission-critical use cases.
Side-by-side
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.
Dataddo supports 300+ connectors, ETL/ELT workflows, reverse ETL, transformations, SmartCache for temporary storage, monitoring, and automated handling of API schema changes.
MuleSoft supports API-led connectivity, ESB, real-time integrations, batch jobs, DataWeave transformations, API policy enforcement, message queuing, monitoring, and hybrid runtime deployment. It is designed to serve as a full enterprise integration platform.
Side-by-side
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.
Dataddo supports 300+ connectors, ETL/ELT workflows, reverse ETL, transformations, SmartCache for temporary storage, monitoring, and automated handling of API schema changes.
MuleSoft supports API-led connectivity, ESB, real-time integrations, batch jobs, DataWeave transformations, API policy enforcement, message queuing, monitoring, and hybrid runtime deployment. It is designed to serve as a full enterprise integration platform.
Side-by-side
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.
Dataddo offers flexible flow creation and a wide connector catalog, with custom connectors available on request. However, customization options are more limited compared to engineer-focused ELT platforms.
The platform is highly customizable with extensible connectors, DataWeave scripting, custom Java components, and support for complex orchestration and multi-system transactions. This flexibility requires engineering expertise and dedicated development time.
Side-by-side
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.
Dataddo offers flexible flow creation and a wide connector catalog, with custom connectors available on request. However, customization options are more limited compared to engineer-focused ELT platforms.
The platform is highly customizable with extensible connectors, DataWeave scripting, custom Java components, and support for complex orchestration and multi-system transactions. This flexibility requires engineering expertise and dedicated development time.
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CUSTOMER STORIES
“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.”
“Before Weld, we had to rely on custom Python scripts and manual processes that were time-consuming and error-prone.”
“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.”
“We’ve always been a KPI-driven company. But we wanted to scale that mindset across every team member, every team, every decision.”
“Before Weld, our data infrastructure was limited and we relied heavily on Excel files and custom Python scripts.”
“Weld has saved us a ton of time, from not having data ready to having a fully functional data warehouse and connectors.”
“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”
“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.”
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