Qlik Talend Cloud Reviews

Maybe the best thing is the product's easy start-up level when you are familiar with Java. Also job creation is fast compared to some other tools. One more good thing is that tables' metadata is easy to bring into the tool and utilize. Last thing to mention here is flexibility to use Java code inside the job.

These are: fast job creation from start to finish which improves ROI, good and easy debugging functions.

First, We faced problems with stability of the products. Also some components were clearly not tested well, which meant that there were bugs. Better tools for geo-data are needed. Documentation was poor in the beginning but it got better over time.

Talend Enterprise Data Integration 5.1 (1) and Talend Platform for
Data Services (2)

2 years by one customer (without Data Quality (1)), 6 months in other customer (with Data Quality(2))

At the customer deployment to the production environment from the test one was a bit exhausting. This could be because they didn't use/know the best-practices.

Yes we had issues. Quite often the server needed rebooting as if there were memory leaks. Sometimes the CVS version management got stuck.

No issues. Only issues were with the Java memory which is scalable and changeable from the job settings.

Customer Service:

Customer service was good most of the time. Answers came in a timely fashion.

Technical Support:

It was good most of the time. Answers came in a timely fashion.

It was pretty straightforward. Memory settings by the client needed some modification in the first place. From the server point of view I cannot say.

In house team.

Yes. We evaluated IBM DataStage.

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.

• It meets our operational and analytical data integration needs by providing us with a high performing set of tools to access, transform and integrate data in real time. • Provides us a central repository for sharing our enterprise metadata among business users, developers and IT staff, so we can access and share a single version of information. • It helped us in handling huge data volumes, remote execution of jobs, interacting with cloud data sources and deployment on cloud infrastructure. • We can centrally supervise our software integration processes by using Talend's advanced monitoring capabilities.

• Lots of errors and system crashes during installation and IMHO we didn’t receive good enough technical support and guidance from Talend to solve the issues. • It doesn’t support multitasking.

One of the reasons we chose the Talend integration suite was because it is an open source data integration tool. It provides us a central repository for sharing our enterprise metadata and meets our operational and analytical data integration needs. We like the fact that it offers data quality functionality, ESB and MDM solutions in a single package. We can easily manage huge data volumes and centrally supervise our software integration processes.

Talend Data integration has a wide library of connectors. 

The tool's technical support needs to be better. It doesn't have a local data center but pushes everything to the cloud. They need to check in with customers to see if they're happy and how well the solutions work. They need to assign a customer success manager for the accounts they sell. 

I have been using the product for four and a half years. 

Talend Data integration's stability is good. 

I rate the tools' scalability an eight out of ten. 

Talend Data integration's initial deployment is simple. 

I rate the product an eight out of ten. 

Hybrid Cloud