Sep 09, 2021
We have experiences only in Pentaho Data Integrator (open source competitor of the Oracle Data Integrator).
But OLAP exporting wasn't in our scope until now.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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.
We actually achieved the first 18 months worth of work in the first six months.
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.
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.
Once the jobs are properly designed and deployed, they run reliably without major issues.
We have not encountered many issues with remote engines, and the interfaces are properly developed.
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.
On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something.
Data management could also encompass APIs and real-time streaming data integration.
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.
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.
I have successfully requested the necessary patch from Talend support multiple times to align different studio versions across the team of developers.
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 2 |
| Large Enterprise | 4 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 5 |
| Large Enterprise | 8 |
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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