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
Microsoft Power BI
Score 8.6 out of 10
N/A
Microsoft Power BI is a visualization and data discovery tool from Microsoft. It allows users to convert data into visuals and graphics, visually explore and analyze data, collaborate on interactive dashboards and reports, and scale across their organization with built-in governance and security.
N/A
Pricing
AWS Glue
Microsoft Power BI
Editions & Modules
per DPU-Hour
$0.44
billed per second, 1 minute minimum
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Offerings
Pricing Offerings
AWS Glue
Microsoft Power BI
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
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Community Pulse
AWS Glue
Microsoft Power BI
Considered Both Products
AWS Glue
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Microsoft Power BI
Verified User
Anonymous
Chose Microsoft Power BI
Microsoft Power BI is more flexible and it requires less effort in order to create a working environment. The results have an attractive and customizable display. The model is a star schema therefore it do not require specific database adaptation. Excel and csv files could be …
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).
Microsoft Power BI is great for sales tracking, financial reporting, and real-time operations monitoring. It integrates data from multiple sources, creating interactive dashboards for better decision-making. However, it's less ideal for real-time big data processing, offline access, or when deep customization is needed. It works best for structured reporting but struggles with highly complex data models.
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.
Microsoft Power BI is an excellent and scalable tool. It has a learning curve, but once you get past that, the sky is the limit and you can build from the most simple to the most complex dashboards. I have built everything from simple reports with only a few data points to complex reports with many pages and advanced filtering.
Takes a little bit to get used to it. Not natively intuitive but fairly straight forward to pick up. Also docking it a few points because you can create a really clean, simple UI in Claude very quickly that's faster than building all of this yourself in Microsoft Power BI.
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.
It is a fantastic tool, you can do almost everything related with data and reports, it is a perfect substitutive of Power Point and Excel with a high evolution and flexibility, and also it is very friendly and easy to share. I think all companies should have Power BI (or other BI tool) in their software package and if they are in the MS Suite, for sure Power BI should be the one due to all the benefits of the MS ecosystem.
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.
All others apps are enablers and Microsoft Power BI is the visual that end user sees which often adds more value to the end user to make strategic decisions from this. All are equally great but Microsoft Power BI is the end result
We're still early in the adoption process at this company, but we've illustrated how bad data keeps us from being more productive. ~25% of a team's work week was dedicated to effectively cleaning up entries, but it was always seen as a normal to them.
