dataTap vs. Tableau Prep

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
dataTap
Score 0.0 out of 10
N/A
dataTap is a user friendly visual data management platform from Zensors. The dataTap Python library is the primary interface for using dataTap's data management tools. Users can create datasets, stream annotations, and analyze model performance all with one library. Zensors states with dataTap, users can: - Begin training instantly - Work with all major ML frameworks…N/A
Tableau Prep
Score 8.2 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
dataTapTableau 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
dataTapTableau Prep
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
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dataTapTableau Prep
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Enterprises
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All AlternativesView all alternativesView all alternatives
User Ratings
dataTapTableau Prep
Likelihood to Recommend
-
(0 ratings)
9.0
(6 ratings)
Likelihood to Renew
-
(0 ratings)
8.0
(1 ratings)
Usability
-
(0 ratings)
7.0
(1 ratings)
Support Rating
-
(0 ratings)
5.3
(3 ratings)
Implementation Rating
-
(0 ratings)
6.0
(1 ratings)
User Testimonials
dataTapTableau Prep
Likelihood to Recommend
Zensors Inc.
No answers on this topic
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
Zensors Inc.
No answers on this topic
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
Zensors Inc.
No answers on this topic
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
Zensors Inc.
No answers on this topic
Tableau
It is a valuable tool for generating and cleaning files for multiple purposes.
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Usability
Zensors Inc.
No answers on this topic
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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Support Rating
Zensors Inc.
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
Zensors Inc.
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
Zensors Inc.
No answers on this topic
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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Return on Investment
Zensors Inc.
No answers on this topic
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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ScreenShots

dataTap Screenshots

Screenshot of Install the client library.

`pip install datatap`

Register at [app.datatap.dev](https://app.datatap.dev/). Then, go to `Settings > Api Keys` to find your personal API key.

`export DATATAP_API_KEY="XXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXX"`

To begin with, select a dataset from the dataTap repositoryScreenshot of Copy the starter code based on your library preferenceScreenshot of Paste the starter code and start training.

from datatap import Api

api = Api()
coco = api.get_default_database().get_repository("_/coco")
dataset = coco.get_dataset("latest")
print("COCO: ", dataset)