

IBM App Connect and Rivery compete in the data integration space. While IBM App Connect offers competitive pricing, Rivery is favored for its advanced features.
Features: IBM App Connect offers seamless integration of cloud and on-premise applications, automation capabilities for optimizing workflows, and comprehensive integration across multiple systems. Rivery provides data pipeline management, supports real-time solutions for modern data infrastructure, and offers effective transformation and scalability.
Ease of Deployment and Customer Service: IBM App Connect ensures a straightforward deployment with a strong support structure for enterprise integration. Rivery focuses on rapid, intuitive deployment and maintains responsive customer service, emphasizing user-friendly operations.
Pricing and ROI: IBM App Connect is cost-effective, offering competitive pricing with focus on long-term ROI through effective integration. Rivery, with a higher initial cost, delivers substantial ROI driven by its feature-rich, tailored pipeline solutions and operational efficiencies.
IBM App Connect definitely saves significant time, approximately 50 to 60%.
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.
When opening a ticket with the global team, problems are resolved promptly and effectively.
The customer support is available 24/7.
The technical support from IBM is good.
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.
IBM App Connect demonstrates good scalability.
I would rate the scalability of IBM App Connect as nine out of ten.
IBM App Connect is very scalable and a flexible tool.
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.
Some companies require multiple configurations, including ODBC connections, JDBC connections, different BI databases, main databases, and replication servers.
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.
Version 13 includes around 200 features with cloud platform compatibility.
I find it particularly good for on-premises and now cloud use.
Better debugging and observability would help us track any single transaction end-to-end across steps and connectors.
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.
For insurance companies with simple JDBC connections, the process is straightforward.
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.
Overall, 50 to 60% of the time is saved when using IBM App Connect.
The transformation capabilities in IBM App Connect are particularly beneficial.
The features I find most valuable are message routing, message transformation, and protocol translation.
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 | Mindshare (%) |
|---|---|
| IBM App Connect | 2.8% |
| Rivery | 1.2% |
| Other | 96.0% |

| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 4 |
| Large Enterprise | 21 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 3 |
Rapidly connect public clouds, private clouds and on-premises application
App Connect Professional is IBM’s cloud integration offering which delivers an integration solution
• With ease-of-use, flexibility and increased responsiveness to the evolving business needs, while removing the daunting complexities of integration.
• Provides the powerful combination of a ‘simple integration experience’ for business users looking to automate how their applications talk to each other; coupled with a ‘configuration based integration’ approach for IT.
• App Connect Professional is for the teams and integration developers who need to solve more complex problems and need powerful tooling for integration scenarios
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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