IBM® DataStage® is a data integration tool that helps users to design, develop and run jobs that move and transform data. At its core, the DataStage tool supports extract, transform and load (ETL) and extract, load and transform (ELT) patterns. A basic version of the software is available for on-premises deployment, and the cloud-based DataStage for IBM Cloud Pak® for Data offers automated integration capabilities in a hybrid or multicloud environment.
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Talend Data Integration
Score 10.0 out of 10
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The Talend Integration Suite, from Talend, is a set of tools for data integration.
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Pricing
IBM DataStage
Talend Data Integration
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM DataStage
Talend Data Integration
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
IBM DataStage
Talend Data Integration
Features
IBM DataStage
Talend Data Integration
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM DataStage
9.5
Ratings
12% above category average
Talend Data Integration
9.5
Ratings
12% above category average
Connect to traditional data sources
10.00 Ratings
10.00 Ratings
Connecto to Big Data and NoSQL
9.00 Ratings
9.00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM DataStage
8.0
Ratings
2% below category average
Talend Data Integration
9.0
Ratings
10% above category average
Simple transformations
8.00 Ratings
9.00 Ratings
Complex transformations
8.00 Ratings
9.00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM DataStage
6.3
Ratings
23% below category average
Talend Data Integration
9.0
Ratings
12% above category average
Data model creation
5.00 Ratings
9.00 Ratings
Metadata management
5.00 Ratings
10.00 Ratings
Business rules and workflow
6.00 Ratings
8.00 Ratings
Collaboration
6.00 Ratings
9.00 Ratings
Testing and debugging
6.00 Ratings
9.00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Excellent Cloud data mapping tool and easy creating multiple project data analytics in real-time and the report distribution are excellent via this IBM product. Easy tool to provide data visualization and the integration is effective and helpful to migrating huge amounts of data across other platforms and different websites insights gathering.
The same way you design data integration job can be used to design services. It is easy to enhance by custom components and can adapt to all requirements. Talend Data Integration connects to [a] multitude of data sources and streaming service. Very easy interface to design complex applications without spending much time on coding. Easy to learn and master. Talend constantly strives to better itself by adding more features and functionalities.
We used Talend to ETLing the data from myriad sources such Oracle Database, Clarify, Salesforce, Sugar CRM, SQL DB, MQ, Stibo Step, FTP, Netezza, and Files.
We leverage Talend transformation capabilities for stitching the data , unions and join
We successfully created the final unified set that can be used by business
Because it is a flexible tool that can manage many flows and create a strong solution with a interesting use of variables. Easy to scale up as you can copy jobs arleady build and modify them. SQL queries allow to be fast in development and have the pushdown feature, but you loose a little of user friendly look. Metadata management is not strong as a visual feature, but can be determine by job codes.
We use Talend Data Integration day in and day out. It is the best and easiest tool to jump on to and use. We can build a basic integration super-fast. We could build basic integrations as fast as within the hour. It is also easy to build transformations and use Java to perform some operations.
It could load thousands of records in seconds. But in the Parallel version, you need to understand how to particionate the data. If you use the algorithms erroneously, or the functionalities that it gives for the parsing of data, the performance can fall drastically, even with few records. It is necessary to have people with experience to be able to determine which algorithm to use and understand why.
IBM offers different levels of support but in my experience being and IBM shop helps to get direct support from more knowledgeable technicians from IBM. Not sure on the cost of having this kind of support, but I know there's also general support and community blogs and websites on the Internet make it easy to troubleshoot issues whenever there's need for that.
Good support, specially when it relates to PROD environment. The support team has access to the product development team. Things are internally escalated to development team if there is a bug encountered. This helps the customer to get quick fix or patch designed for problem exceptions. I have also seen support showing their willingness to help develop custom connector for a newly available cloud based big data solution
No, it wasn’t my decision to use such an ETL product. I’m just the administrator at this point. I’ve heard there are other products there that are even on cloud support. That is much easier to use, more agile, and user-friendly. That doesn’t have that barrier from user to administrator to the developer standpoint.
Talend has many built-in components that reduce the development work. We were able to complete the project sooner than expected. Easy to on-board resources as it is straightforward to use. We can manage all the pipelines in the cloud with simple alerting. No major downtimes. Connectors to all new applications in the market.
Not directly related to ROI or cost figures. Only comment here is that IBM tools tend to be more costly than average ETL tools, but it depends on if the company is an IBM shop.
One positive aspect is the company has had not a need to switch ETL tool for years.
Upgrading to newer versions of the tool brings flexibility in the tool and up-to-date features in relation to other applications.
It’s only been a positive RoI with Talend given we’ve interfaced large datasets between critical on-Prem and cloud-native apps to efficiently run our business operations.