Talend Data Fabric Reviews and Ratings

Rating: 9.5 out of 10

Score

9.5 out of 10

Community insights

TrustRadius Insights for Talend Data Fabric are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

Intuitive and easy-to-use interface: Users have found the user interface of Talend DQ to be intuitive and easy to use. They appreciate the graphical user interface that allows them to drag and drop services, making it simple for users to navigate and operate the tool effectively.

Wide variety of connectors: Reviewers have praised Talend DQ for offering a wide variety of connectors. This provides developers with great flexibility in handling code and working with different databases such as Postgres and MongoDB. The availability of multiple systems/endpoints enhances data integration capabilities.

Diverse data profiling analysis types: Many users appreciate the diverse data profiling analysis types available in Talend DQ. They find this feature valuable for understanding their data better. Additionally, the tool's great analysis reports, presented visually and numerically, provide detailed information that aids in effective data profiling analysis.

Reviews

7 Reviews

360 view of data management with Talend

Rating: 10 out of 10

Incentivized

June 23, 2022

Use Cases and Deployment Scope

With Talend, almost all the angles of using Data are covered and we are able to create complex integrations satisfying the needs of our clients. Key factors driving the business decision: -Strong user community -Product roadmap and future vision -Strong services expertise -Product functionality and performance. Talend is a really good middleware that plays a key role in hybrid complex scenarios.

Pros

Generated optimized code for building data pipelines.
Ingested and integrated data from both On-Premises and Cloud environment.
Created roles for data cleansing, or need to trace data lineage to ensure compliance and integrity.

Cons

Hadoop-related and big data components need to be rewritten and improved by Talend.
The exception handling is not convenient. You can either let go of the exception or stop the process or use an external controller to resume the applications. But you cannot customize the try-catch block of the exception itself.
Sometimes you have to use "Ctrl" sometimes "Cmd" is really badly done. In my experience the speed of learning clashes with the consumption of resources and the slowness of the interfaces. An interface made in pure Java requires more time to implement but is definitely more performing.

Likelihood to Recommend

Truly trusted contact center where the effective solution is always guaranteed. It is not a one-off fix to a specific data integration or management problem. It is a permanent and scalable solution to manage all of your data under a unified environment. Easy to use, great performance, used it for our internal data warehouse. Easy to build and connect to our data sources such as Salesforce, Netsuite, and Marketo.

Pankaj Pise

Programmer Analyst in Information Technology at Accenture (51-200 employees)

Vetted Review

2 years of experience

Talend Quality, calidad en todo sentido.

Rating: 7 out of 10

Incentivized

December 30, 2021

Use Cases and Deployment Scope

The tool is very effective, to carry out ETL tasks, since it allows from the extraction of information to the preparation of the same, and then with the BI tools to carry out the demonstration in dashboards for decision making. Talend has made my life easier when dealing with junk information and reached such a transformation that allows the added value in the institution.

Pros

fast
comprensible
friendly environment
intuitive

Cons

IA
performance
connectors

Likelihood to Recommend

The best scenario that I see as productive is having several sources of information, the tool allows me to consolidate in a single income channel allowing me to maintain the integrity of the information, I like the treatment of financial data since speed and accuracy are needed in the accounting records. I believe that in any industry this tool would be 100% productive.

Victor Cáceres

Database Administrator (DBA) in Information Technology at Cooperativa CREA (201-500 employees)

Vetted Review

2 years of experience

View profile

Talend data management

Rating: 8 out of 10

Incentivized

August 27, 2021

Use Cases and Deployment Scope

This is being used by the organization for integration purposes mainly. Here we used the tool for managing server level and cloud level data migration processes. Using this we achieve data transmission in our projects in a very easy way. By which for the complex data structures and data compilation and also some computational queries are easily mapped and processed.

Pros

The mapping of 2 different database situated in different server
Integration through API for database
Help to clean data
Help to manage oversized data

Cons

Need to do some reporting structure
For certain time server configuration is not much effective
Also UI enhancement is necessary

Likelihood to Recommend

For some of the businesses where the migration is happening in in-house server to the cloud level that time connectivity is much important but for large datasets if a certain connection is broken then it will affect the whole dataset. Here Talend works preciously and helps us to manage a large number of datasets in very little time.

Verified User

Employee in Engineering (11-50 employees)

Vetted Review

2 years of experience

Visually appealing and accurate reports.

Rating: 9 out of 10

Incentivized

September 22, 2020

Use Cases and Deployment Scope

It is being used specifically in the finance department and is very pleasant to use due to its many time-saving default functions. Also, the integration is fantastic (Salesforce), this is a positive point of Talend Data Quality, users who are developers are also satisfied with Talend Data Quality because they can handle the code. The reports provided by Talend Data Quality are accurate and visually appealing.

Pros

Visually appealing and accurate reports.
Integration with Salesforce.
You can handle the code.

Cons

The learning curve in the beginning may be very steep.
Speed is not the best.

Likelihood to Recommend

Talend Data Quality integrates very well with Salesforce and this is one of the reasons that prompts me to recommend it to all my colleagues, it is true that the speed is not the best and that the learning curve is very steep, but based on my experience directly with Talend Data Quality I can say that these problems are solved and you can really have many positive results with Talend Data Quality.

Charlotte Byrne Brown

Robotic Process Automation Manager in Information Technology at Mr. Cooper (5001-10,000 employees)

Vetted Review

3 years of experience

View profile

Nice tool for data integration

Rating: 7 out of 10

Incentivized

March 13, 2018

Use Cases and Deployment Scope

We helped several customers implement Talend for data migration and integration. We have used it mainly to integrate <a rel="noopener" target="_blank" href="https://www.trustradius.com/products/salesforce-com/reviews">Salesforce</a> with various other systems like Oracle, <a title="Link: https://www.trustradius.com/products/mysql/reviews" rel="noopener" target="_blank" href="https://www.trustradius.com/products/mysql/reviews">MySQL</a>, FTP (File-based integration) etc. It does provide a lot of predefined functionality out of the box along with providing the facility to use complex java code for developers.

Pros

It supports a wide variety of connectors (Systems/endpoints)
It provides great flexibility for developers as it not only has a lot of predefined ready to use the function but also provides the ability to use complex java code within the platform. Great tool if you have good developers available.

Cons

Development is a little complex in comparison to others on the market. A high learning curve is required for developers. developers with java background are perfect for the job.

Likelihood to Recommend

More suitable for complex integration scenarios as it supports Java code too. Need to have an experienced Mulesoft developer available with some Java background. Cost friendly in comparison to others on the market

Ankit Goyal

Technical Consultant in Information Technology at Appirio (1001-5000 employees)

Vetted Review

1 year of experience

View profile

Talend Review

Rating: 7 out of 10

Incentivized

October 31, 2017

Use Cases and Deployment Scope

Talend was used to send Postgres and MongoDB data from on prem servers to AWS cloud on a weekly basis for the integrated analytics.

Pros

Scalability: On month-ends, the volume of the data is twice as much as other weeks, so Talend bandwidth scales well.
Availability: I have never seen the service interrupted.
Usability: The graphical user interface of dragging and dropping services is great.
DB support: It supports all our database connectivity, use Postgres and MongoDB.

Cons

Bugs: Came across some of the bugs in transforming column datatype especially on text.
Speed: Sometimes, bandwidth fluctuates in the data transfer as identified from logs, but so far so good.
Connector support: So far have not seen Actian Matrix plugins, could be useful.

Likelihood to Recommend

If the data needs to be periodically merged in the data warehouse for the analytics, this tool is great. But, came across some glitches when doing streaming replication.

Verified User

Employee in Information Technology (11-50 employees)

Vetted Review

1 year of experience

Talend Community DQ review from the trenches!

Rating: 8 out of 10

Incentivized

March 7, 2014

Use Cases and Deployment Scope

We have been using Talend products internally and for our client projects for both data quality and integration. Talend DQ is used for data profiling and quality reporting.

Pros

Diverse data profiling analysis types. Talend DQ has a lot of great analysis report available that can be used in profiling.
Reporting is a relatively fast and has detailed information in visual and numeric representation.
The drill down capability, when it works, is very useful.

Cons

The print and export functionality are missing in the Community version which frustrates a lot of our clients as well as internal users.
The learning curve is very steep for all Talend products including DQ.
Lack of easy to create workflows for jobs that can be repeated.

Likelihood to Recommend

It is good when using it for a read only analysis, but if one needs to show the results or present it to anyone else, it is quite weak!

Ask if your reports needs to be shared or published with non technical users.

Ask if business users need to be using this tool for simple data profiling or will this be used for technical staff.

Majd Izadian (majd.izadian@zendeux.com)

Managing Partner & CEO - Big Data, MDM, Data Quality in Information Technology at Zendeux Business Data Solutions (1-10 employees)

Vetted Review

4 years of experience

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Reviews and Ratings

360 view of data management with Talend

Rating: 10 out of 10

Incentivized

June 23, 2022

Use Cases and Deployment Scope

Pros

Generated optimized code for building data pipelines.
Ingested and integrated data from both On-Premises and Cloud environment.
Created roles for data cleansing, or need to trace data lineage to ensure compliance and integrity.

Cons

Hadoop-related and big data components need to be rewritten and improved by Talend.
The exception handling is not convenient. You can either let go of the exception or stop the process or use an external controller to resume the applications. But you cannot customize the try-catch block of the exception itself.
Sometimes you have to use "Ctrl" sometimes "Cmd" is really badly done. In my experience the speed of learning clashes with the consumption of resources and the slowness of the interfaces. An interface made in pure Java requires more time to implement but is definitely more performing.

Likelihood to Recommend

Pankaj Pise

Programmer Analyst in Information Technology at Accenture (51-200 employees)

Vetted Review

2 years of experience