Comparing MuleSoft (Anypoint Platform) with Rivery and Weld



What is MuleSoft (Anypoint Platform)
Pros
- 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
Cons
- 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):
What I like about MuleSoft (Anypoint Platform)
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.
What I dislike about MuleSoft (Anypoint Platform)
What is Rivery
Pros
- Supports custom integrations though native GUI
- Has reverse ETL option
- Supports Python
- Has data transformation capabilities
- Great customer support
Cons
- Lack of advanced error handling features
- Cannot transform data on the fly (ETL)
- Complex pricing model
- UI is lacking when working with larger complex pipelines
- Product documentation is lacking
As a user on G2 puts it::
What I like about Rivery
As a data analyst, I find the tool really easy to use; it's intuitive how you connect to the different data sources and create your data pipelines.
What I dislike about Rivery
What is Weld
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.
Feature-by-Feature Comparison
Ease of Use & Interface
MuleSoft (Anypoint Platform)
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.
Rivery
Rivery is known for its ease of use, especially for data analysts who need to connect different data sources and create pipelines quickly. Its intuitive GUI makes setup straightforward.
Pricing & Affordability
MuleSoft (Anypoint Platform)
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.
Rivery
Rivery's pricing is complex and based on credits, which may not be straightforward for all users. Costs can rise significantly with increased data usage.
Feature Set
MuleSoft (Anypoint Platform)
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.
Rivery
The platform supports custom integrations, Python scripting, and reverse ETL, making it versatile for various data integration needs, but lacks on-the-fly transformation capabilities.
Flexibility & Customization
MuleSoft (Anypoint Platform)
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.
Rivery
Rivery offers flexibility in custom integrations and supports post-load transformations, but its user interface may lack robustness for managing larger, more complex pipelines.
Summary of MuleSoft (Anypoint Platform) vs Rivery vs Weld
Weld | MuleSoft (Anypoint Platform) | Rivery | |
---|---|---|---|
Connectors | 200+ | 150+ | 200+ |
Price | $79 / No data volume limits | Enterprise vCore subscription—high-end (six-figure annual) | $0.75 per credit *100MB of data replication |
Free tier | No | No | Yes |
Location | EU | US | US |
Extract data (ETL) | Yes | Yes | Yes |
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL) | Yes | Yes | Yes |
Transformations | Yes | Yes | Yes |
AI Assistant | Yes | No | No |
On-Premise | No | Yes | No |
Orchestration | Yes | Yes | No |
Lineage | Yes | Yes | No |
Version control | Yes | Yes | No |
Load data to and from Excel | Yes | No | No |
Load data to and from Google Sheets | Yes | No | No |
Two-Way Sync | Yes | Yes | No |
dbt Core Integration | Yes | No | No |
dbt Cloud Integration | Yes | No | No |
OpenAPI / Developer API | Yes | Yes | Yes |
G2 Rating | 4.8 | 4.4 | 4.7 |
Conclusion
You’re comparing MuleSoft (Anypoint Platform), Rivery, Weld. Each of these tools has its own strengths:
- MuleSoft (Anypoint Platform): 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.. 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..
- Rivery: the platform supports custom integrations, python scripting, and reverse etl, making it versatile for various data integration needs, but lacks on-the-fly transformation capabilities.. rivery's pricing is complex and based on credits, which may not be straightforward for all users. costs can rise significantly with increased data usage..
- 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.. 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..