Microsoft's SQL Server Integration Services (SSIS) is a data integration solution.
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Tableau Prep
Score 8.0 out of 10
N/A
Tableau Prep enables users to get to the analysis phase faster by helping them quickly combine, shape, and clean their data. According to the vendor, a direct and visual experience helps provide users with a deeper understanding of their data, smart features make data preparation simple, and integration with the Tableau analytical workflow allows for faster speed to insight. Tableau Prep allows users to connect to data on-premises or in the cloud, whether it’s a database or a…
$15
per month billed annually per user
Pricing
SQL Server Integration Services
Tableau Prep
Editions & Modules
No answers on this topic
Viewer
$15
per month billed annually per user
Explorer
$42
per month billed annually per user
Creator
$70
per month billed annually per user
Offerings
Pricing Offerings
SSIS
Tableau Prep
Free Trial
No
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
SQL Server Integration Services
Tableau Prep
Features
SQL Server Integration Services
Tableau Prep
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
SQL Server Integration Services
6.0
54 Ratings
31% below category average
Tableau Prep
-
Ratings
Connect to traditional data sources
8.054 Ratings
00 Ratings
Connecto to Big Data and NoSQL
4.041 Ratings
00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
SQL Server Integration Services
7.0
54 Ratings
15% below category average
Tableau Prep
-
Ratings
Simple transformations
10.054 Ratings
00 Ratings
Complex transformations
4.053 Ratings
00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
SQL Server Integration Services
7.0
52 Ratings
12% below category average
Tableau Prep
-
Ratings
Data model creation
8.627 Ratings
00 Ratings
Metadata management
7.133 Ratings
00 Ratings
Business rules and workflow
5.043 Ratings
00 Ratings
Collaboration
8.039 Ratings
00 Ratings
Testing and debugging
6.049 Ratings
00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Ideal if the company is already a Microsoft shop, so chances are that it is free with SQL Server. Also, good for moving data between on premise systems. Not ideal for moving data to the cloud. No functionality out of the box to work with REST APIs. Stable product but definitely not the future
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.
Connection managers for online data sources can be tricky to configure.
Performance tuning is an art form and trialing different data flow task options can be cumbersome. SSIS can do a better job of providing performance data including historical for monitoring.
Mapping destination using OLE DB command is difficult as destination columns are unnamed.
Excel or flat file connections are limited by version and type.
Some features should be revised or improved, some tools (using it with Visual Studio) of the toolbox should be less schematic and somewhat more flexible. Using for example, the CSV data import is still very old-fashioned and if the data format changes it requires a bit of manual labor to accept the new data structure
SSIS is a great tool for most ETL needs. It has the 90% (or more) use cases covered and even in many of the use cases where it is not ideal SSIS can be extended via a .NET language to do the job well in a supportable way for almost any performance workload.
SQL Server Integration Services performance is dependent directly upon the resources provided to the system. In our environment, we allocated 6 nodes of 4 CPUs, 64GB each, running in parallel. Unfortunately, we had to ramp-up to such a robust environment to get the performance to where we needed it. Most of the reports are completed in a reasonable timeframe. However, in the case of slow running reports, it is often difficult if not impossible to cancel the report without killing the report instance or stopping the service.
The support, when necessary, is excellent. But beyond that, it is very rarely necessary because the user community is so large, vibrant and knowledgable, a simple Google query or forum question can answer almost everything you want to know. You can also get prewritten script tasks with a variety of functionality that saves a lot of time.
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.
The implementation may be different in each case, it is important to properly analyze all the existing infrastructure to understand the kind of work needed, the type of software used and the compatibility between these, the features that you want to exploit, to understand what is possible and which ones require integration with third-party tools
Live connections to cloud services (Google Sheets for example) and cloud hosted databases (cloud hosted SIS for example) for scheduled flows are not supported
I had nothing to do with the choice or install. I assume it was made because it's easy to integrate with our SQL Server environment and free. I'm not sure of any other enterprise level solution that would solve this problem, but I would likely have approached it with traditional scripting. Comparably free, but my own familiarity with trad scripts would be my final deciding factor. Perhaps with some further training on SSIS I would have a different answer.
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.