Informatica Cloud Data Quality vs. Tableau Prep

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Informatica Cloud Data Quality
Score 6.8 out of 10
N/A
The vendor states that Informatica Data Quality empowers companies to take a holistic approach to managing data quality across the entire organization, and that with Informatica Data Quality, users are able to ensure the success of data-driven digital transformation initiatives and projects across users, types, and scale, while also automating mission-critical tasks.N/A
Tableau Prep
Score 7.1 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
Informatica Cloud Data QualityTableau 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
Informatica Cloud Data QualityTableau Prep
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Informatica Cloud Data QualityTableau Prep
Features
Informatica Cloud Data QualityTableau Prep
Data Quality
Comparison of Data Quality features of Product A and Product B
Informatica Cloud Data Quality
8.2
4 Ratings
3% below category average
Tableau Prep
-
Ratings
Data source connectivity8.94 Ratings00 Ratings
Data profiling8.74 Ratings00 Ratings
Master data management (MDM) integration8.24 Ratings00 Ratings
Data element standardization7.14 Ratings00 Ratings
Match and merge7.94 Ratings00 Ratings
Address verification8.44 Ratings00 Ratings
Best Alternatives
Informatica Cloud Data QualityTableau Prep
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Score 8.3 out of 10
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Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
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Score 8.0 out of 10
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User Ratings
Informatica Cloud Data QualityTableau Prep
Likelihood to Recommend
9.0
(19 ratings)
9.0
(7 ratings)
Likelihood to Renew
6.6
(14 ratings)
8.0
(1 ratings)
Usability
8.0
(1 ratings)
7.0
(1 ratings)
Availability
9.0
(2 ratings)
-
(0 ratings)
Performance
9.0
(1 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
5.3
(3 ratings)
Online Training
10.0
(1 ratings)
-
(0 ratings)
Implementation Rating
10.0
(1 ratings)
6.0
(1 ratings)
Product Scalability
9.0
(1 ratings)
-
(0 ratings)
User Testimonials
Informatica Cloud Data QualityTableau Prep
Likelihood to Recommend
Informatica
For effective data collaboration, systematic verification of customer information, and address, among others, Informatica Data Quality is a fruitful application to consider. Besides, Informatica Data Quality controls quality through a cleansing process, giving the company a professional outline of candid data profiling and reputable analytics. Finally, Informatica Data Quality allows the simplistic navigation of content, with a dashboard that supports predictability.
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Tableau
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.
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Pros
Informatica
  • The matching algorithms in IDQ are very powerful if you understand the different types that they offer (e.g., Hamming Distance, Jaro, Bigram, etc..). We had to play around with it to see which best suit our own needs of identifying and eliminating duplicate customers. Setting up the whole process (e.g., creating the KeyGenerator Transformation, setting up the matching threshold, etc..) can be somewhat time consuming and a challenge if you don't first standardize your data.
  • The integration with PowerCenter is great if you have both. You can either import your mappings directly to PowerCenter or to an XML file. The only downside is that some of the transformations are unique to IDQ, so you are not really able to edit them once in PowerCenter.
  • The standardizer transformation was key in helping us standardize our customer data (e.g., names, addresses, etc..). It was helpful due to having create a reference table containing the standardized value and the associated unstandardized values. What was great was that if you used Informatica Analyst, a business analyst could login and correct any of the values.
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Tableau
  • Display the raw data coming in from the data warehouse
  • Point out situations that might be erroneous
  • Show the distribution of raw data figures
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Cons
Informatica
  • Several partnerships diminishing the value of technologies
  • Unable to get list of objects from Repository (like sources & targets) that don't have any dependency
  • Scheduling: The built-in scheduling tool has many constraints such as handling Unix/VB scripts etc. Most enterprises use third party tools for this.
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Tableau
  • Use of Macros within Workflow (and more types of automation)
  • Join Editor also giving a SQL Update Query
  • More types of visuals
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Likelihood to Renew
Informatica
As pointed out earlier, due all the robust features IDQ has, our use f the product is successful and stable. IDQ is being used in multiple sources (from CRM application and in batch mode). As this is an iterative process, we are looking to improve our system efficiency using IDQ.
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Tableau
It is a valuable tool for generating and cleaning files for multiple purposes.
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Usability
Informatica
Easy to use not only for developers but also business users
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Tableau
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.
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Reliability and Availability
Informatica
The application works well except an occasional error out while using the system. It usually gets fixed when restarting the Infa server
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Tableau
No answers on this topic
Performance
Informatica
Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.
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Tableau
No answers on this topic
Support Rating
Informatica
No answers on this topic
Tableau
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.
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Implementation Rating
Informatica
No answers on this topic
Tableau
Live connections to cloud services (Google Sheets for example) and cloud hosted databases (cloud hosted SIS for example) for scheduled flows are not supported
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Alternatives Considered
Informatica
IDQ is used by a department at my organisation to ensure and enhance the data quality.
The usage was started with address standardization and now it had been brought to altogether a next level of quality check where it fixes duplicates, junk characters, standardize the names, streets, product descriptions.
In the past we had issues mainly with duplicate customers and products and this were affecting the sales projection and estimates.
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Tableau
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.
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Scalability
Informatica
Scalability works as expected and it is truly an enterprise system.
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Tableau
No answers on this topic
Return on Investment
Informatica
  • Integration with tools like PowerCenter helped faster delivery of product, and at the same time conversion
  • Reduce overall project cost due to bad data , bad quality, exceptions identified nearing go-live and post production
  • Employee efficiency is increased exponentially due to more automated, customized tool
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Tableau
  • 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)
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