

MuleSoft Anypoint Platform and Rivery are integration platforms that help businesses connect applications and manage data. Rivery appears to have the upper hand due to its superior features, especially its ease of use and rapid implementation capabilities.
Features: MuleSoft Anypoint Platform provides a comprehensive API management toolkit, excellent monitoring and analytics capabilities, and advanced security features. Rivery stands out for its flexibility, the ability to rapidly implement data workflows, and a no-code environment that simplifies integration tasks.
Ease of Deployment and Customer Service: MuleSoft Anypoint Platform's deployment requires technical expertise, demanding more time and resources. The customer service is responsive but could improve on complex issue resolution. Rivery offers a straightforward deployment model, emphasizing quick setup for non-technical teams. Its customer service is noted for easy accessibility and prompt assistance.
Pricing and ROI: MuleSoft Anypoint Platform has a higher initial setup cost, justified by extensive capabilities and high enterprise-level ROI. Rivery offers a predictable pricing model with lower initial costs, delivering quick returns, appealing to small to mid-sized businesses, especially cost-sensitive organizations.
It saved my team time and really reduced manual work, so overall, it improved efficiency.
By using Snowflake and Rivery, I was able to set up and complete project goals myself without the necessity to employ additional data engineers or DevOps.
I would probably rate the support for MuleSoft Anypoint Platform a nine on a scale from one to ten.
The Salesforce team offers different levels of support.
The support team is responsive and helpful.
One significant challenge was implementing custom-built Python scripts using Rivery for transformations.
Customer support is great; they are answering really fast.
The customer support for Rivery is excellent.
MuleSoft Anypoint Platform is quite scalable, and it meets our use cases with no issues preventing implementation.
MuleSoft provides the ability to scale, yet it is costly to do so.
It has handled growing data volumes and additional pipelines without major issues.
The focus is on the ability to connect to different sources and to put all the data together.
I found the tool very easy to use, allowing me to gain a lot of insights.
The excellent support we received from Rivery team contributes to this perception.
MuleSoft is considered expensive, so pricing is a major concern.
When dealing with multiple transactions or trading, the system can lose control, and tracking becomes hectic.
Currently, it uses other standards, but adopting OpenAPI, the standard in the market, would be beneficial.
As an end-to-end solution for ETL with Snowflake, Rivery has proven to be reliable and efficient in my day-to-day work.
Agentic AI with open source tools can be used to build all configurations automatically for pipelines.
One feature that stood out in Informatica was the ability to see data flowing through each transformation step while debugging, which I felt was missing in Rivery.
MuleSoft is considered one of the more expensive products in the market.
I do not know the specific costs, but given that it is part of MuleSoft, I suspect it is not cheap.
The platform reduces manual workload in maintaining infrastructure, but it does come with some cost considerations.
I found myself asking my stakeholder to make it only five times a day because it was really expensive.
I found the pricing and licensing to be fair and competitive compared to other solutions I have seen.
The most valuable feature is the full lifecycle management, including Anypoint Designer and Exchange, as well as Discofolio API.
The platform is integrated with Salesforce, making it preferable when using Salesforce products.
MuleSoft Anypoint Platform helps to standardize data integration approaches, making it easier to implement integration projects.
Rivery saved time and money because everything was handled in one place by only one or two data people instead of using the resources of a development team, which is great, and all the knowledge is handled in one team.
The main benefit Rivery brought to my organization was the time we were able to save on development.
Rivery has positively impacted my organization by reducing the need for a big team of data engineers and speeding up the work when we need to connect to a new data source; this can happen really fast.
| Product | Market Share (%) |
|---|---|
| MuleSoft Anypoint Platform | 5.5% |
| Rivery | 1.1% |
| Other | 93.4% |
| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 12 |
| Large Enterprise | 30 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 3 |
MuleSoft Anypoint Platform provides API management and integration capabilities with scalability, ensuring seamless connectivity across systems.
MuleSoft Anypoint Platform offers API management and integration capabilities within a user-friendly interface. With a range of connectors and the ability to handle integration patterns, it enables data integration across environments with support for API-led connectivity. High scalability, observability, batch processing, and tooling are key features, enhancing performance while simplifying deployment.
What are the standout features of MuleSoft Anypoint Platform?MuleSoft Anypoint Platform is employed by organizations for API management and seamless integration across systems in industries like retail and e-commerce. It connects enterprise applications in environments such as SAP and Salesforce. Users leverage it for data transformation and synchronization, achieving efficient real-time processing and a middleware layer across systems.
Rivery is a serverless, SaaS DataOps platform that empowers companies of all sizes around the world to consolidate, orchestrate, and manage internal and external data sources with ease and efficiency.
By offering comprehensive data solutions and partnering with complementary technology providers, including Google, Snowflake, Tableau, and Looker, Rivery enables data-driven companies to build the perfect ecosystems for all their data processes.
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