It used to be Talend Open Studio, and I've got a paid version that's fully supported by Talend. Now, it's called Talend Cloud. Talend Open Studio parts are exactly the same as the open-source version. But with the cloud platform, when you build a job or an API, you publish it onto the cloud platform, and that manages all the API functionality really well. The best part is that if something goes wrong with an error or an issue, the logging is phenomenal. It tells you exactly what's wrong. That, coupled with Talend Open Studio, makes it really easy to resolve any issues. Talend Open Studio itself is fantastic. When you build a job or an API, it tells you what's wrong, what needs to be fixed, and how to fix it. Plus, Talend does the support documentation, and it's really straightforward to follow. There's plenty of videos online on how to build jobs to transform data, build APIs, and link to other databases. Talend can handle quite major transformations and ETLs. So it's really simple and easy to follow, with all the documentation being intuitive. We use probably about 10% of Talend's functionality. But the primary use is keeping multiple databases (near 200 different databases) in sync. Talend integrates that information with REST APIs. We're moving a lot of our integration into the Talend platform, taking it from old XML-based integration to REST APIs. We use Crunchy Data's Crunchy Bridge solution for a lot of our databases in the back end, and Talend, coupled with Postgres, creates a very simple platform for us to build integrations really fast. It also means that we're using intelligence there on change events that occur in the database to keep multiple repositories in sync. We're moving towards more of a single source of truth platform rather than multiple sources of truth that we've been dealing with for the last fifteen or so years.
We use it to construct a robust data warehouse. This involves seamlessly integrating data from diverse sources into our data warehouse. It plays a crucial role in ensuring data cleanliness and quality throughout the integration process. We also use it for effective fraud detection measures, further enhancing the reliability and security of our data warehouse.
Senior Data Engineer at a financial services firm with 1,001-5,000 employees
Real User
Top 10
2023-06-29T14:56:00Z
Jun 29, 2023
We are currently using the free version. We use the solution to extract loads from the source system into the entire house. We are also doing API and data integrations from TXT or XML files. Though we are not currently using it for big data, there is a plan to extract data from MongoDB.
I use Talend for different projects as I am studying business intelligence. I am using Talend for data integration and integrating Oracle and SQL Server, specifically using it for collecting data from Oracle and charging it to SQL Server.
I use the open-source version of this solution. It's data integration-related. Right now, I'm doing some legacy TL into a new enterprise data repository.
We have used the solution for a real estate agency in Singapore to stream their data on a more or less real-time basis to a mobile app. Their backend system is primarily built on SAP. They used a combination of Kafka message querying and Talend to stream the data into a NoSQL environment, which is MongoDB. The solution basically streams the data from SAP backend systems, all the way to a NoSQL MongoDB database, to support a real-time or near real-time data flow into a mobile app. This mobile app will be a consumer-facing app. The end consumers will be able to look at the status of their real estate space. Users are mostly the tenants who either rent or lease commercial or residential spaces. The status of their leased property will be made available via a mobile app. The data solution comprised of technology such as Kafka for message queuing, Talend for data flow streaming, and MongoDB for storing the data. That's one use case. The second problem solved using Talend is to build the data lake for internal data analytics at a government organization, again based in Singapore. Their backend systems are primarily supported by Sybase databases. From the Sybase databases, selective data is brought into a staging area via Qlik Attunity, which is a real-time data synchronization tool that uses the change data capture mechanism. Once the data comes to the staging environment through Attunity, then Talend takes over. Talend pulls that data and moves it to Cloudera's big data solution, the big data platform. Then, Tableau is used for data analytics and data visualization. This solution is set up for internal data analytics within the government organization.
Expert Consultant CRM at a tech services company with 1-10 employees
Consultant
2022-02-09T07:53:51Z
Feb 9, 2022
We have migrated to the Talend Open Studio version 7.3. but have not used it yet. I have only done some testing on another computer to see how the new version is functioning. We use Talend Open Studio only to do the ETL from our database, it takes XML files and converts them to CSV. Talend Open Studio transforms files on the website and modifies them for the database.
We are a solution provider and Talend Open Studio is one of the products that we implement for our clients. I work as an integrator and a data flow developer. The primary use case for Talend is data integration. It is typically used by engineers and managers.
We were using the entire Talend solution for the last client, but it was only for integration between the databases and the data warehouse. It was a standard ETL job. We have Talend Open Studio deployed on our desktop, but we used the Talend cloud service for our clients.
BI developer at a comms service provider with 501-1,000 employees
Real User
2021-07-08T18:16:29Z
Jul 8, 2021
I use this solution for development purposes. This solution is installed on my PC. For the project that we're currently working on, I am the only user.
Implementation Specialist, Individual Contributor at a computer software company with 201-500 employees
Real User
2021-05-11T14:20:04Z
May 11, 2021
I'm currently doing the research and testing it on my machine. Our use case is to extract or manipulate data from one database to another one in a structured form.
I primarily use the solution for integration. I consolidate data from several different databases and spreadsheets and merge systems into Amazon Redshift.
Senior Manager MI & BI (Senior Vice President) at Faysal Bank Limited
Real User
2020-06-21T08:08:10Z
Jun 21, 2020
We have been using Talend for ETF functions in connection with our RDBMS system. We are in the process of moving from RDBMS to Big Data, so we may not be using Talend in the future.
I'm a board member of our company and we are a customer of Talend. Our primary use case at the moment is working on data migration projects, migrating data from different databases and consolidating them.
Senior BI Developer at a tech vendor with 11-50 employees
Real User
2019-12-05T11:14:00Z
Dec 5, 2019
I use Open Studio for operational data in the telecom industry. We were working with the data, connecting or joining the tables between different data sources with a very large volume. We perform data preparation and transformation and then look deeper into the details.
We use the Professional version of Talend for data integration between our IBM mainframe and Oracle to populate the Enterprise data warehouse. It handles feeds from heterogeneous sources such as MS SQL, PostgreSQL, and flat files.
Senior System Administrator at a tech company with 501-1,000 employees
Real User
2019-07-31T05:52:00Z
Jul 31, 2019
We use the on-prem model of this solution. Our primary use case is for connecting legacy applications. We fill a new ERP and we also fill some legacy applications which we can integrate directly in ERP so we use Open Studio for this integration.
We use this solution for data integration, especially in our big data projects. For the past year, we have also been using Talend Open Studio for process automation. Some of the operations done by human beings are now automated. We also deliver this solution to our customers. Currently, all of the solutions that we deliver to our customers are on-premises.
Talend Open Studio is a free, open source ETL tool for data integration and Big Data. The solution enables you to extract diverse datasets and normalize and transform them into a consistent format which can be loaded into a number of third-party databases and applications.
Talend Open Studio Features
Talend Open Studio has many valuable key features. Some of the most useful ones include:
Automatic identification of data types and potential errors
tMap module
Graphical conversion...
It used to be Talend Open Studio, and I've got a paid version that's fully supported by Talend. Now, it's called Talend Cloud. Talend Open Studio parts are exactly the same as the open-source version. But with the cloud platform, when you build a job or an API, you publish it onto the cloud platform, and that manages all the API functionality really well. The best part is that if something goes wrong with an error or an issue, the logging is phenomenal. It tells you exactly what's wrong. That, coupled with Talend Open Studio, makes it really easy to resolve any issues. Talend Open Studio itself is fantastic. When you build a job or an API, it tells you what's wrong, what needs to be fixed, and how to fix it. Plus, Talend does the support documentation, and it's really straightforward to follow. There's plenty of videos online on how to build jobs to transform data, build APIs, and link to other databases. Talend can handle quite major transformations and ETLs. So it's really simple and easy to follow, with all the documentation being intuitive. We use probably about 10% of Talend's functionality. But the primary use is keeping multiple databases (near 200 different databases) in sync. Talend integrates that information with REST APIs. We're moving a lot of our integration into the Talend platform, taking it from old XML-based integration to REST APIs. We use Crunchy Data's Crunchy Bridge solution for a lot of our databases in the back end, and Talend, coupled with Postgres, creates a very simple platform for us to build integrations really fast. It also means that we're using intelligence there on change events that occur in the database to keep multiple repositories in sync. We're moving towards more of a single source of truth platform rather than multiple sources of truth that we've been dealing with for the last fifteen or so years.
We have customers who embed Talend Open Studio in their products like an OEM.
We use the solution for integration, warehousing, and enterprise service costs.
I use the solution in my company to create dataflows and feed the data warehouse required for business intelligence.
We use it to construct a robust data warehouse. This involves seamlessly integrating data from diverse sources into our data warehouse. It plays a crucial role in ensuring data cleanliness and quality throughout the integration process. We also use it for effective fraud detection measures, further enhancing the reliability and security of our data warehouse.
My company uses Talend Open Studio to support ETL processes.
We are currently using the free version. We use the solution to extract loads from the source system into the entire house. We are also doing API and data integrations from TXT or XML files. Though we are not currently using it for big data, there is a plan to extract data from MongoDB.
I use Talend for different projects as I am studying business intelligence. I am using Talend for data integration and integrating Oracle and SQL Server, specifically using it for collecting data from Oracle and charging it to SQL Server.
I use the open-source version of this solution. It's data integration-related. Right now, I'm doing some legacy TL into a new enterprise data repository.
I use Open Studio for the day-to-day management of our data architecture warehouse.
We have used the solution for a real estate agency in Singapore to stream their data on a more or less real-time basis to a mobile app. Their backend system is primarily built on SAP. They used a combination of Kafka message querying and Talend to stream the data into a NoSQL environment, which is MongoDB. The solution basically streams the data from SAP backend systems, all the way to a NoSQL MongoDB database, to support a real-time or near real-time data flow into a mobile app. This mobile app will be a consumer-facing app. The end consumers will be able to look at the status of their real estate space. Users are mostly the tenants who either rent or lease commercial or residential spaces. The status of their leased property will be made available via a mobile app. The data solution comprised of technology such as Kafka for message queuing, Talend for data flow streaming, and MongoDB for storing the data. That's one use case. The second problem solved using Talend is to build the data lake for internal data analytics at a government organization, again based in Singapore. Their backend systems are primarily supported by Sybase databases. From the Sybase databases, selective data is brought into a staging area via Qlik Attunity, which is a real-time data synchronization tool that uses the change data capture mechanism. Once the data comes to the staging environment through Attunity, then Talend takes over. Talend pulls that data and moves it to Cloudera's big data solution, the big data platform. Then, Tableau is used for data analytics and data visualization. This solution is set up for internal data analytics within the government organization.
The solution can be deployed on the cloud and on-premise.
We have migrated to the Talend Open Studio version 7.3. but have not used it yet. I have only done some testing on another computer to see how the new version is functioning. We use Talend Open Studio only to do the ETL from our database, it takes XML files and converts them to CSV. Talend Open Studio transforms files on the website and modifies them for the database.
We are a solution provider and Talend Open Studio is one of the products that we implement for our clients. I work as an integrator and a data flow developer. The primary use case for Talend is data integration. It is typically used by engineers and managers.
We were using the entire Talend solution for the last client, but it was only for integration between the databases and the data warehouse. It was a standard ETL job. We have Talend Open Studio deployed on our desktop, but we used the Talend cloud service for our clients.
I use this solution for development purposes. This solution is installed on my PC. For the project that we're currently working on, I am the only user.
I'm currently doing the research and testing it on my machine. Our use case is to extract or manipulate data from one database to another one in a structured form.
We use it to integrate data; we take several folders, transform them, and store them in the database, which is PostgreSQL.
One use case for Talend Data Management is using it for data integration from multiple data sources and then to build our customer's golden record.
One of our clients' use case was for data integration from multiple sources and then to build our customer golden record.
I primarily use the solution for integration. I consolidate data from several different databases and spreadsheets and merge systems into Amazon Redshift.
We are integrators of Talend and I'm a system analyst.
The primary use case for the solution depends on the customer, however, most likely in my case, the industry it would be under would be oil and gas.
We are a system integrator and this is one of the products that we implement for our clients.
We have been using Talend for ETF functions in connection with our RDBMS system. We are in the process of moving from RDBMS to Big Data, so we may not be using Talend in the future.
Our primary use case is for creating an information hub for the bank database.
I'm a board member of our company and we are a customer of Talend. Our primary use case at the moment is working on data migration projects, migrating data from different databases and consolidating them.
We use this product for broader data synchronization, data storage, data transformation, data integration, and other data processing.
I use Open Studio for operational data in the telecom industry. We were working with the data, connecting or joining the tables between different data sources with a very large volume. We perform data preparation and transformation and then look deeper into the details.
We use the Professional version of Talend for data integration between our IBM mainframe and Oracle to populate the Enterprise data warehouse. It handles feeds from heterogeneous sources such as MS SQL, PostgreSQL, and flat files.
We use Talend for the collection of data from many different sources. We use it mostly as a data integrator.
We primarily use the solution just to pull the data from the source to the landing zone. We are using the administrative console as well.
We use the on-prem model of this solution. Our primary use case is for connecting legacy applications. We fill a new ERP and we also fill some legacy applications which we can integrate directly in ERP so we use Open Studio for this integration.
We use this solution for data integration, especially in our big data projects. For the past year, we have also been using Talend Open Studio for process automation. Some of the operations done by human beings are now automated. We also deliver this solution to our customers. Currently, all of the solutions that we deliver to our customers are on-premises.
Integration jobs.