Likelihood to Recommend 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.
Read full review 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.
Read full review Pros Data movement Seamless integration of scripts and etl jobs Descriptive logging Ability to work with myriad of data assets Direct integration for Governance catalog Read full review 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 Read full review Cons Connector Stages to Snowflake on the cloud. We had some issues initially but since then had been corrected. Accessing tool from a browser (zero foot-print). Currently we need to either install locally or connect to a server to do ETL work. Diversify ways of authenticating users. Read full review Pricing for sure can be the area for improvement. Real time processing is slow as compared to other tools like Abinitio. While developing batches, it crashes a lot. It may be the issue with me, but I wanted to highlight it. Read full review Usability Because it is robust, and it is being continuously improved. DS is one of the most used and recognized tools in the market. Large companies have implemented it in the first instance to develop their DW, but finding the advantages it has, they could use it for other types of projects such as migrations, application feeding, etc.
Read full review 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.
Read full review Performance 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.
Read full review Support Rating I believe that IBM generally has one of the worst and most complex assistance systems (physical and online) that exists.
Read full review 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
Read full review Alternatives Considered It's obvious since they both are from the same vendors and it makes it easier and can get better rates for licensing. Also, sales rapes are very helpful in case of escalations and critical issues.
Read full review In comparison with the other ETLs I used, Talend is more flexible than Data Services (where you cannot create complex commands). It is similar to Datastage speaking about commands and interfaces. It is more user-friendly than ODI, which has a metadata point of view on its own, while Talend is more classic. It has both on-prem and cloud approaches, while
Matillion is only cloud-based.
Read full review Return on Investment Reduce development time by 65% compared with hand coding. Reduces ETL process maintenance times. Better data governance for technical and non-technical people. Improve time to market for initiatives that require data integration. Read full review 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. 40K+ plots data, covering 1K+ crop varieties. 3K+ Customer & their credit data, 3K+ product inventory & pricing. Read full review ScreenShots