IBM App Connect and Talend Data Integration compete in the data integration space. IBM App Connect has the upper hand with its robust security and IBM ecosystem integration, while Talend shines with its code generation and flexibility.
Features: IBM App Connect offers out-of-the-box adapters, strong security, and effective integration with IBM products, providing robust middleware capabilities. Talend Data Integration stands out with its automation, diverse connectors, and powerful transformation tools, managing different environments seamlessly while reducing manual efforts.
Room for Improvement: IBM App Connect users seek enhancements in audit logging, support response times, and CI/CD capabilities. Talend Data Integration could improve real-time data processing, simplify setup, and reduce license costs. Both products aim to improve their UI for better user experience and accessibility.
Ease of Deployment and Customer Service: IBM App Connect supports on-premises and cloud deployment, excelling in hybrid environments, though customer service could be more consistent. Talend Data Integration offers flexible deployment in public, hybrid, and private clouds with highly rated technical support but could improve response times for complex issues.
Pricing and ROI: IBM App Connect is often pricier with complex licensing but offers significant ROI in IBM environments. Talend's pricing is more favorable, especially with open-source options, presenting long-term ROI through efficient integration and operations.
It has helped us save a lot of time by automating repetitive data processes and reducing manual interventions.
They didn't want to use separate ETL tools for MDM or for TMC and data preparation, which is all included in one package.
When opening a ticket with the global team, problems are resolved promptly and effectively.
The technical support from IBM is good.
The support team is responsive when we raise issues, and they usually provide clear guidance or solutions.
The customer support for Talend Data Integration is very good; whenever I raise a ticket in the customer portal, I immediately receive an email, and follow-up communication is prompt.
IBM App Connect demonstrates good scalability.
I would rate the scalability of IBM App Connect as nine out of ten.
By using features like job parallelization and modular design, we can expand our data flows without having to rebuild everything.
The scalability of Talend Data Integration is good; if it weren't scalable, it wouldn't be reliable.
Some companies require multiple configurations, including ODBC connections, JDBC connections, different BI databases, main databases, and replication servers.
Once the jobs are properly designed and deployed, they run reliably without major issues.
Version 13 includes around 200 features with cloud platform compatibility.
I find it particularly good for on-premises and now cloud use.
It would be great to have more ready-to-use connectors for modern cloud and SaaS platforms.
Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license.
Regarding ETL, Talend Data Integration is great, but concerning real-time data processing, people are not really sure about Talend Data Integration or might not know how it provides such types of flexibilities.
For insurance companies with simple JDBC connections, the process is straightforward.
My experience with Talend Data Integration's pricing, setup cost, and licensing is that it is a bit higher compared to other tools, making it not very affordable.
The transformation capabilities in IBM App Connect are particularly beneficial.
The features I find most valuable are message routing, message transformation, and protocol translation.
By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month.
Flexibility is a key feature I appreciate about Talend Data Integration, especially the integration of Java within it and the ease of integrating with multiple source repositories such as GitHub and Bitbucket.
The best feature of Talend Data Integration is its multiple data DB components; we have almost all the components and also cloud versions, with TMC allowing us to perform data preparation and data stewardship.
Product | Market Share (%) |
---|---|
IBM App Connect | 4.6% |
Talend Data Integration | 1.5% |
Other | 93.9% |
Company Size | Count |
---|---|
Small Business | 4 |
Midsize Enterprise | 4 |
Large Enterprise | 19 |
Company Size | Count |
---|---|
Small Business | 2 |
Midsize Enterprise | 2 |
Large Enterprise | 4 |
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
Talend Data Integration efficiently handles data transformation and integration with ease, supporting complex business needs. It enables seamless data management across all sources.
Talend Data Integration offers a robust platform for managing and transforming data. It connects disparate systems, enabling data flow across various environments. Users benefit from its ability to streamline processes and improve data accuracy. Its user-friendly interface and flexibility make it a preferred choice for data integration experts.
What are the key features of Talend Data Integration?In finance, Talend Data Integration enhances transaction data processing and compliance reporting. In healthcare, it ensures accurate patient data management, while in retail, it optimizes inventory and customer data analysis. Its adaptability makes it valuable across multiple sectors, addressing specific industry requirements.
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