Talend Data Quality Reviews

JRules, TMap, TParallel, ELT, etc

It has provided the feature wherein the business could make the changes as requested without performing the ETL deployment code to production.

I think the memory issues we faced when using the 3GB RAM compared to the 4GB RAM computers caused lot of issues. Probably can improve in that.

4 years - Talend Open Studio 3.1.2, 4.1.3, 5.0, Talend Integration Suite 4.1.3, Talend Data Quality 4

Intially we did encountered issues with the deployment, but over the period of time we were able to find the proper way to perform the deployment and also used a tool called HERMES for the deployment.

No issues

No issues

Customer Service:

Very nice customer service

Technical Support:

Excellent support from the technical support team

Yes earlier we had Ab Initio but switched to Talend because initially it was an Open Studio with no cost involved and also it was supported by the JRules component.

It was not straight forward as it was pretty new to everyone among our team, but over the period of time when we had hands on the tool everything got smooth.

It was a in-house team.

Ab Initio, Informatica etc.

I would definitely recommend others to implement this product as it is really helpful, easy to learn, user friendly, provides lot of enhanced features, etc.

The option to start with the community edition

Solves problems with the quality of data applying some business rules. And with the data integrator load data from multiple source to a target source.

The usage of memory. This tool uses a huge amount of memory.

Around 3 years

I haven't had problems.

Yes, I had some problems with the Linux version because of launch some exceptions.

No

Customer Service: 5/5 - good customer serviceTechnical Support: 5/5 - good technical support

We haven't experienced any problems.

You move data from one source to another without problem and apply some business rules in data.

Basically a good server.

Yes we evaluated: Kettle, CloverEtl and Oracle Data Integrator

Put in a server with a lot of memory and if it’s a hard process then put in a dedicated server.

Better control and flexibility to add/custom define features, to tailor to your needs by modifying its Java generated code.

While building Customer registry for a global hi-tech manufacturing firm few years back, to establish single view of customer across geographies, Talend data quality was used in conjunction with other tools to track and manage data quality metrics, with minimum investment. DQ Scorecards were published for daily updates to DMO(data management operations) and steering committee.

I’ve been part of defining and building similar solutions and been part of this specific solution involving Talend for close to an year.

Yes, and we did overcome the same by custom defining/development efforts.

Switch to Talend came natural since working on a custom data quality solution then and encountered difficulty managing the same.

An application dev/consulting firm supported with custom development efforts, not a Talend data quality vendor, intuitive UI and features of product helped the team to learn quickly and work on this platform.

We've evaluated multiple options including building/maintaining a custom solution. Cost, maintenance and custom development requirements were primary factors for choosing Talend.

Account for Java developers/ custom development efforts apart from DQ functional/technical expertise, to use Talen DQ product to the fullest.

The solution is customizable.

I have been using Talend Data Quality for approximately four and a half years.

The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time.

I have not needed the technical support.

The implementation is not difficult, it has been straightforward for the implementations we have done.

We do the implementation of this solution.

I rate Talend Data Quality a nine out of ten.