Likelihood to Recommend If your data sets are coming in without much stewardship then
Tableau Prep can help to clean the data before you start trying to create visualizations for your end users. You will save a lot of time this way - rather than seeing problems once you are creating dashboards. If you don't have large data sets or your data is relatively simple, then
Tableau Prep may not be needed.
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 Display the raw data coming in from the data warehouse Point out situations that might be erroneous Show the distribution of raw data figures 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 Use of Macros within Workflow (and more types of automation) Join Editor also giving a SQL Update Query More types of visuals 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 Likelihood to Renew It is a valuable tool for generating and cleaning files for multiple purposes.
Read full review Usability It works well and is user friendly for the basics but needs more options for bring in data (using SQL queries for example) and export format options.
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 Support Rating I have not really had to reach out for any kind of customer support for
Tableau Prep, so I can't really say. However, the support that
Tableau has given for their other products has been great, so I would assume it would be the same here. They are also constantly adding new features and providing software updates, and that is always a plus.
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 Implementation Rating Live connections to cloud services (Google Sheets for example) and cloud hosted databases (cloud hosted SIS for example) for scheduled flows are not supported
Read full review Alternatives Considered Before Prep, we had to do all the data joining and connecting in a
Tableau Workbook. Not only did this cause workbooks connected with live data to run frustratingly slowly, a new connection and set-up had to be established every time a new workbook as created, even if you were working with the same data. The extracts produced by Prep allow several workbooks to be working from the same data set-up without any additional work, saving time and stress.
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 Quicker data sets for online reports More efficient data cleaning Ad Hoc reports Costly if using data management to schedule data pull and cleaning (priced per viewer accounts not creator accounts) 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