TrustRadius

AWS Glue vs. Tableau Prep

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Glue
Score 7.5 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 7.6 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
Community Pulse
AWS GlueTableau Prep
Considered Both Products
AWS Glue
Verified User
Anonymous
Chose AWS Glue
Informatica Intelligent Cloud Integration Services and Informatica PowerCenter
Chose AWS Glue
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.
Verified User
Anonymous
Chose AWS Glue
AWS Glue is easier to use and has more and better features compared to it. And more documentation and tutorials and labs are widely available on the internet about AWS Glue which in turn helps in easier implementation of the spark jobs. Auto scaling is an added advantage. It's …
Verified User
Anonymous
Chose AWS Glue
The main reason we choose AWS Glue over Talend open studio 1) Does not support Spark 2) Run only on java 3) not really feasible solution for heavy workloads 4) most of the cases need customer support 5) no proper documentation is available
Verified User
Anonymous
Chose AWS Glue
AWS Glue is a managed service. It was easier for us to integrate it into our stack since we are already an AWS shop. It saved us the headache of managing a 3rd part service.
Verified User
Anonymous
Chose AWS Glue
The cataloging of data objects is the best in the case of AWS Glue. We use AWS Glue in all of our data pipelines to sync external and internal data sources and to automatically produce SQL-based ETL based on AWS Glue catalog objects. Integration with Amazon products is the …
Apurv Doshi | TrustRadius Reviewer
Apurv Doshi
Practice Head - Labs (Innovation and R&D)
Chose AWS Glue
Glue comes in form of a managed service. However, the AWS data pipeline puts additional responsibility to manage the infrastructure. We were not requiring fine-grained control of the hardware which the AWS data pipeline provides. We also want to park our data on DynamoDB. AWS …
Verified User
Anonymous
Chose AWS Glue
We are already in AWS services, so AWS glue is the first choice for us. But for the comparison of ETL job making and process time, it's way faster for other services.
SC
Sonny Carlos
Head of Cloud and Data Business
Chose AWS Glue
Glue is easier especially if you are already in AWS. It easily integrates to other AWS services. Compliments well with Amazon Athena, S3, and Lake Formation. Compared to Snowflake, it is also much much cheaper and you don't have to build outside AWS. Support is also good if you …
Tableau Prep
Verified User
Anonymous
Chose Tableau Prep
Tableau Prep is a good tool to use in tandem with Tableau. You can use Tableau by just plugging in an excel sheet or other form of dataset, but the tools that Tableau Prep has specifically makes the data set work better with Tableau. The extra time to optimize is worth it.
Verified User
Anonymous
Chose Tableau Prep
Tableau Prep is covered in our license whereas Alteryx required additional fees and a separate license. Tableau Prep is similar to Tableau Desktop which a lot of our team is comfortable with so it wasn't difficult to get a feel for Tableau Prep. However, Alteryx would have been …
Verified User
Anonymous
Chose Tableau Prep
Selected Tableau Prep because it came with out Tableau license.
Verified User
Anonymous
Chose Tableau Prep
We use both Tableau Prep and Alteryx and, although Tableau Prep integrates better with Tableau desktop, I find that more often then not I open up Alteryx to do most of my data prep prior to bringing my data into analysis as it is just so much more robust. Not that this makes …
Verified User
Anonymous
Chose Tableau Prep
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 …
Best Alternatives
AWS GlueTableau Prep
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.1 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.1 out of 10
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
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS GlueTableau Prep
Likelihood to Recommend
7.0
(0 ratings)
9.0
(0 ratings)
Likelihood to Renew
-
(0 ratings)
8.0
(0 ratings)
Usability
7.0
(0 ratings)
7.0
(0 ratings)
Support Rating
7.0
(0 ratings)
5.3
(0 ratings)
Implementation Rating
-
(0 ratings)
6.0
(0 ratings)
User Testimonials
AWS GlueTableau Prep
Likelihood to Recommend
When the data which requires ETL has different formats, schema, and volume, this service suits them best. So, when the volume is not consistent (typical use-case of healthcare and online shopping), AWS Glue can be the prime choice. When the data is available in both batch and streaming mode, the developer needs to generate a separate codebase. This increases the source code management efforts. So, prefer to go with Glue when the nature of the data is the same (either batched or streamed).
Apurv Doshi | TrustRadius Reviewer
Apurv Doshi
Practice Head - Labs (Innovation and R&D)
Read full review
Tableau Prep is a very powerful tool when it comes to creating workflows to monitor each stage for data analysis and quality issues. Also, it is convenient to explore the data with the wealth of operators and checking work at each stage of the process. Also, some areas that would help is if there are more types of automation provided.
Verified User
Anonymous
Read full review
Pros
  • After data cleansing, the team also implemented the best practices for using AWS platform services as a Data Lake, such as job bookmarking for AWS Glue jobs, proper delimiter for the AWS Glue crawlers, partitioning in AWS S3, and transformation to parquet file for compression and faster querying time in Amazon Athena.
  • Data modernization through combining data from multiple sources into a functioning datasets, rebuilding DW, and resctructuring data sources.
  • Aims to lessen customer complaints, eliminate manual data extraction requests via SR from different data sources, and Increase accuracy, consistency and speed up reconciliation process.
SC
Sonny Carlos
Head of Cloud and Data Business
Read full review
  • Display the raw data coming in from the data warehouse
  • Point out situations that might be erroneous
  • Show the distribution of raw data figures
Verified User
Anonymous
Read full review
Cons
  • It’s integration with other cloud vendors is bit difficult
  • If it can support non SQL based databases as well, it would be powerful.
  • Real time data synchronisation in data source is missing
Verified User
Anonymous
Read full review
  • Use of Macros within Workflow (and more types of automation)
  • Join Editor also giving a SQL Update Query
  • More types of visuals
Verified User
Anonymous
Read full review
Likelihood to Renew
No answers on this topic
It is a valuable tool for generating and cleaning files for multiple purposes.
Verified User
Anonymous
Read full review
Usability
I personally found it very usable for a data engineer's day job, particularly for performing ETL and managing the data pipelines.
Verified User
Anonymous
Read full review
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.
Verified User
Anonymous
Read full review
Support Rating
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.
Verified User
Anonymous
Read full review
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.
Verified User
Anonymous
Read full review
Implementation Rating
No answers on this topic
Live connections to cloud services (Google Sheets for example) and cloud hosted databases (cloud hosted SIS for example) for scheduled flows are not supported
Verified User
Anonymous
Read full review
Alternatives Considered
The cataloging of data objects is the best in the case of AWS Glue. We use AWS Glue in all of our data pipelines to sync external and internal data sources and to automatically produce SQL-based ETL based on AWS Glue catalog objects. Integration with Amazon products is the other advantage.
Verified User
Anonymous
Read full review
Tableau Prep is covered in our license whereas Alteryx required additional fees and a separate license. Tableau Prep is similar to Tableau Desktop which a lot of our team is comfortable with so it wasn't difficult to get a feel for Tableau Prep. However, Alteryx would have been a totally new platform.
Verified User
Anonymous
Read full review
Return on Investment
  • Positive Impact :- after ETL we can able to do some kind of automation
  • Negative :- At some point of time it can hamper the cost but not really
Verified User
Anonymous
Read full review
  • 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)
Verified User
Anonymous
Read full review
ScreenShots