

IBM App Connect and Matillion Data Productivity Cloud compete in the integration tools category. IBM App Connect appears to have the upper hand due to its strong security features and broad connectivity, whereas Matillion is preferred for its user-friendly interface and seamless AWS integration.
Features: IBM App Connect is recognized for its numerous pre-built adapters, strong security foundation via DataPower, and ability to handle complex integrations. It supports a wide variety of endpoints and offers reliable data transformations. Matillion Data Productivity Cloud is marked by its user-friendly interface, quick setup for data transfers, and potent ETL capabilities. It integrates seamlessly with AWS and offers real-time data processing with a vast array of source connections.
Room for Improvement: IBM App Connect could improve its audit logging and simplify container installation. Users also suggest expanding its variety of connectors and enhancing support. Matillion could enhance real-time data capture and scalability. It may also benefit from broadening integration capabilities with new data sources to stay competitive.
Ease of Deployment and Customer Service: IBM App Connect provides flexible deployment options, including on-premises, hybrid, and cloud environments. Although its technical support is valued, there may be delays in responsiveness. Matillion is predominantly cloud-focused, offering a straightforward deployment process in public and private cloud settings. Its support is rated highly, with users appreciating quick assistance and robust resources.
Pricing and ROI: IBM App Connect's pricing reflects its enterprise capabilities, with high costs justified by extensive features and robust support, although sometimes seen as complex and expensive. Matillion offers a flexible pay-as-you-go model, generally viewed as cost-effective but with some noted price increments. Despite higher costs, both products offer significant ROI due to their efficiency and ability to handle complex integrations.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
When opening a ticket with the global team, problems are resolved promptly and effectively.
The technical support from IBM is good.
They communicate effectively and respond quickly to all inquiries.
IBM App Connect demonstrates good scalability.
I would rate the scalability of IBM App Connect as nine out of ten.
Depending on the nature of data sets, volume, and mixture of different data, the scalability could be improved as manual code writing is still required.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
IBM App Connect occasionally crashes for various reasons, requiring problem-solving intervention.
I find it particularly good for on-premises and now cloud use.
Version 13 includes around 200 features with cloud platform compatibility.
The main areas for improvement are AI features and scalability.
Connections to BigQuery for extracting information are complex.
For insurance companies with simple JDBC connections, the process is straightforward.
Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
The pricing is moderate, neither expensive nor cheap.
File operations are simple to execute, and converting between XML to JSON formats is effortless with IBM App Connect.
The features I find most valuable are message routing, message transformation, and protocol translation.
The predefined connectors eliminate the need to write code for connectivity.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
| Product | Market Share (%) |
|---|---|
| Matillion Data Productivity Cloud | 5.1% |
| IBM App Connect | 3.6% |
| Other | 91.3% |


| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 4 |
| Large Enterprise | 21 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 10 |
| Large Enterprise | 11 |
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
Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.
Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.
What are the key features of Matillion Data Productivity Cloud?
What benefits and ROI should users seek in reviews?
In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.
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