AWS Glue vs. Tableau Prep

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Glue
Score 7.6 out of 10
N/A
AWS Glue is a managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load data for analytics. With it, users can create and run an ETL job in the AWS Management Console. Users point AWS Glue to data stored on AWS, and AWS Glue discovers data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, data is immediately searchable, queryable, and available for ETL.
$0.44
billed per second, 1 minute minimum
Tableau Prep
Score 8.5 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
AWS GlueTableau Prep
Editions & Modules
per DPU-Hour
$0.44
billed per second, 1 minute minimum
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
AWS GlueTableau 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
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AWS GlueTableau Prep
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All AlternativesView all alternativesView all alternatives
User Ratings
AWS GlueTableau Prep
Likelihood to Recommend
8.0
(7 ratings)
9.0
(6 ratings)
Likelihood to Renew
-
(0 ratings)
8.0
(1 ratings)
Usability
-
(0 ratings)
7.0
(1 ratings)
Support Rating
7.0
(1 ratings)
5.3
(3 ratings)
Implementation Rating
-
(0 ratings)
6.0
(1 ratings)
User Testimonials
AWS GlueTableau Prep
Likelihood to Recommend
Amazon AWS
One of AWS Glue's most notable features that aid in the creation and transformation of data is its data catalog. Support, scheduling, and the automation of the data schema recognition make it superior to its competitors aside from that. It also integrates perfectly with other AWS tools. The main restriction may be integrated with systems outside of the AWS environment. It functions flawlessly with the current AWS services but not with other goods. Another potential restriction that comes to mind is that glue operates on a spark, which means the engineer needs to be conversant in the language.
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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
Amazon AWS
  • It is extremely fast, easy, and self-intuitive. Though it is a suite of services, it requires pretty less time to get control over it.
  • As it is a managed service, one need not take care of a lot of underlying details. The identification of data schema, code generation, customization, and orchestration of the different job components allows the developers to focus on the core business problem without worrying about infrastructure issues.
  • It is a pay-as-you-go service. So, there is no need to provide any capacity in advance. So, it makes scheduling much easier.
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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
Amazon AWS
  • In-Stream schema registries feature people can not use this more efficiently
  • in Connections feature they can add more connectors as well
  • The crucial problem with AWS Glue is that it only works with AWS.
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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
Amazon AWS
No answers on this topic
Tableau
It is a valuable tool for generating and cleaning files for multiple purposes.
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Usability
Amazon AWS
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
Amazon AWS
Amazon responds in good time once the ticket has been generated but needs to generate tickets frequent because very few sample codes are available, and it's not cover all the scenarios.
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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
Amazon AWS
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
Amazon AWS
AWS Glue is a fully managed ETL service that automates many ETL tasks, making it easier to set AWS Glue simplifies ETL through a visual interface and automated code generation.
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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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Return on Investment
Amazon AWS
  • It had a positive impact on the way we build our data lake.
  • It is the single source of truth for data structure (schemas/tables/views).
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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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