What I like about Dataddo
“It is so user friendly and doesnt have any learning curve. Any user can really understand and create their own custom flows without any external support”
You’re comparing Dataddo vs MuleSoft (Anypoint Platform) vs Weld. Explore how they differ on connectors, pricing, and features.


Loved by data teams from around the world
| Weld | Dataddo | MuleSoft (Anypoint Platform) | |
|---|---|---|---|
| Connectors | 200+ | 398+ | 150+ |
| Price | $99 / 5M Active Rows | $99.00 / mo for 3 data flows to sync data between any source and destination | Enterprise vCore subscription—high-end (six-figure annual) |
| Free tier | |||
| Location | EU | US/EU | US |
| Extract data (ETL) | |||
| Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL) | |||
| Transformations | |||
| AI Assistant | |||
| On-Premise | |||
| Orchestration | |||
| Lineage | |||
| Version control | |||
| Load to/from Excel | |||
| Load to/from Google Sheets | |||
| Two-Way Sync | |||
| dbt Core Integration | |||
| dbt Cloud Integration | |||
| OpenAPI / Developer API | |||
| G2 rating | 4.8 | 4.7 | 4.4 |
Overview
Dataddo is a fully managed, no-code data integration platform designed for business users, marketers, and analysts who need quick access to data without engineering support. It supports over 300 prebuilt connectors to cloud apps, databases, and BI tools, and offers flexible data flows for ETL, ELT, reverse ETL, and dashboard integrations. If a specific connector isn’t available, Dataddo will build it on request. The platform emphasizes ease of use, with automated handling of API changes, built-in pipeline monitoring, and a “SmartCache” feature that temporarily stores historical data, allowing teams to run reports without immediately setting up a data warehouse. With support for secure data practices (SOC 2, ISO 27001, GDPR compliance) and simple, transparent pricing plans, including a free tier, Dataddo is ideal for organizations looking to centralize data quickly and with minimal overhead.

No-code interface makes setup simple for non-technical users.
Integrates with 300+ platforms, including many marketing and CRM tools.
Onboarding and connector requests are generally well-handled.
Offers competitive pricing, especially for small teams.
Some users report delays for complex issues.
New or niche sources may not be instantly available.
Cancelling or modifying plans can be frustrating.
G2 Review:
“It is so user friendly and doesnt have any learning curve. Any user can really understand and create their own custom flows without any 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 with a net new flow).”
Overview
MuleSoft’s Anypoint Platform is an enterprise-grade iPaaS that supports batch ETL, real-time APIs, ESB, and more. With 150+ pre-built connectors (Anypoint Connectors) and the powerful DataWeave transformation language, MuleSoft can handle complex integrations between on-prem and cloud systems. It excels at high-throughput, mission-critical use cases and offers hybrid deployment (cloud or on-prem runtime).

Extensive connectivity: 150+ enterprise-grade connectors (SaaS, databases, protocols, mainframes)
Hybrid deployment: fully on-prem, private cloud, or CloudHub managed runtime
Powerful DataWeave language for complex transformations
API-led architecture supporting real-time APIs and batch ETL/ELT in the same platform
Enterprise-grade reliability: high throughput, clustering, transactions, and monitoring
Rich tooling: Anypoint Studio (IDE), API Manager, Exchange for reusable assets
High complexity and steep learning curve—requires experienced integration developers
Expensive licensing (vCore-based), typically suited for large enterprises
Not focused on out-of-the-box simplicity—each pipeline is effectively a development project
Maintenance overhead when self-hosted; even CloudHub needs ongoing ops for flow logic
UI/IDE can feel dated and resource-intensive compared to modern low-code ETL tools
Tech Lead at a Financial Services Firm (G2 Review summary):
“MuleSoft’s Anypoint Platform offers 100+ pre-built connectors and a powerful integration engine. It’s an enterprise integration solution that supports batch ETL as well as real-time API integrations, making it possible to connect virtually any system.”
Overview
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.
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
Requires some technical knowledge around data warehousing and SQL
Limited features for advanced data teams
Focused on cloud data warehouses
A reviewer on G2 said:
“Weld is still limited to a certain number of integrations - although the team is super interested to hear if you need custom integrations.”




Side-by-side

Dataddo offers a clean, intuitive no-code interface that allows users to set up data flows quickly. The drag-and-drop flow builder and prebuilt connectors minimize the learning curve, making it accessible for non-technical users.

MuleSoft is a developer-centric platform with Anypoint Studio as an Eclipse-based IDE. It is powerful but not plug-and-play; teams need formal training and strong integration expertise to use it effectively.
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.
Side-by-side
Dataddo offers a clean, intuitive no-code interface that allows users to set up data flows quickly. The drag-and-drop flow builder and prebuilt connectors minimize the learning curve, making it accessible for non-technical users.
MuleSoft is a developer-centric platform with Anypoint Studio as an Eclipse-based IDE. It is powerful but not plug-and-play; teams need formal training and strong integration expertise to use it effectively.
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.
Side-by-side

Pricing is straightforward and competitive, with plans starting at $99/month for three data flows. The free tier allows users to test the platform with limited functionality before committing to a paid plan.

MuleSoft is among the most expensive integration platforms. Pricing is based on the number of vCores and features, making it a significant investment reserved for large enterprises with complex integration needs.
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.
Side-by-side
Pricing is straightforward and competitive, with plans starting at $99/month for three data flows. The free tier allows users to test the platform with limited functionality before committing to a paid plan.
MuleSoft is among the most expensive integration platforms. Pricing is based on the number of vCores and features, making it a significant investment reserved for large enterprises with complex integration needs.
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.
Side-by-side

Dataddo supports over 300 connectors, ETL/ELT workflows, reverse ETL capabilities, data transformations, and built-in monitoring.

Extensive feature set: batch and streaming ETL, real-time API creation, ESB, DataWeave transformations, API management, message queuing, hybrid deployment, high availability, and robust monitoring. Essentially, MuleSoft can serve as ETL, ESB, and API gateway in one.
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.
Side-by-side
Dataddo supports over 300 connectors, ETL/ELT workflows, reverse ETL capabilities, data transformations, and built-in monitoring.
Extensive feature set: batch and streaming ETL, real-time API creation, ESB, DataWeave transformations, API management, message queuing, hybrid deployment, high availability, and robust monitoring. Essentially, MuleSoft can serve as ETL, ESB, and API gateway in one.
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.
Side-by-side

While Dataddo is primarily designed for ease of use, it still offers flexibility through its wide range of connectors and the ability to create custom data flows. However, it may not provide the same level of customization as more technical platforms.

MuleSoft is highly flexible: you can extend connectors, write custom DataWeave scripts, embed custom Java code, and orchestrate complex multi-system transactions. The platform can be tailored to virtually any integration requirement but demands developer resources.
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.
Side-by-side
While Dataddo is primarily designed for ease of use, it still offers flexibility through its wide range of connectors and the ability to create custom data flows. However, it may not provide the same level of customization as more technical platforms.
MuleSoft is highly flexible: you can extend connectors, write custom DataWeave scripts, embed custom Java code, and orchestrate complex multi-system transactions. The platform can be tailored to virtually any integration requirement but demands developer resources.
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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