Compare AWS Data Pipeline vs. AWS Glue

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603 views|563 comparisons
AWS Glue Logo
5,061 views|4,455 comparisons
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Find out what your peers are saying about MuleSoft, Informatica, Denodo and others in Cloud Data Integration. Updated: March 2021.
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Pricing and Cost Advice
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"The pricing is a bit higher than other solutions like Athena and EC2. If the pricing becomes more scaled or flexible, it will be good because you have to pay 44 cents just for one DPU for an hour. If you increase DPUs to 5 or 10, the pricing gets multiplied. There are also some time limits like 0 to 10 minutes or 10 to 20 minutes. If the pricing is according to the minutes, it would be better because you have to limit your job to 10 minutes or 20 minutes.""It is not expensive. AWS Glue works on the serverless architecture. We get charged for the time the server is up. For our use case, we have to use it once in a day, and it is not expensive for us.""Its price is good. We pay as we go or based on the usage, which is a good thing for us because it is simple to forecast for the tool. It is good in terms of the financial planning of the company, and it is a good way to estimate the cost. It is also simple for our clients. In my opinion, it is one of the best tools in the market for ETL processes because of the fact that you pay as you use, which separates it from other big tools such as PowerCenter, Pentaho Data Integration, and Talend."

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Top Answer: AWS Glue and Azure Data factory for ELT best performance cloud services.
Top Answer: The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features.
Top Answer: Its price is good. We pay as we go or based on the usage, which is a good thing for us because it is simple to forecast for the tool. It is also good in terms of the financial planning of the company… more »
Ranking
16th
Views
603
Comparisons
563
Reviews
0
Average Words per Review
0
Rating
N/A
6th
Views
5,061
Comparisons
4,455
Reviews
3
Average Words per Review
591
Rating
7.7
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Overview

AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. ... AWS Data Pipeline also allows you to move and process data that was previously locked up in on-premises data silos.

AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. You can create and run an ETL job with a few clicks in the AWS Management Console. You simply point AWS Glue to your data stored on AWS, and AWS Glue discovers your data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, your data is immediately searchable, queryable, and available for ETL.

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Sample Customers
bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
Top Industries
VISITORS READING REVIEWS
Computer Software Company25%
Media Company20%
Comms Service Provider14%
Manufacturing Company7%
VISITORS READING REVIEWS
Computer Software Company26%
Media Company16%
Comms Service Provider12%
Financial Services Firm8%
Find out what your peers are saying about MuleSoft, Informatica, Denodo and others in Cloud Data Integration. Updated: March 2021.
475,291 professionals have used our research since 2012.

AWS Data Pipeline is ranked 16th in Cloud Data Integration while AWS Glue is ranked 6th in Cloud Data Integration with 3 reviews. AWS Data Pipeline is rated 0.0, while AWS Glue is rated 7.6. On the other hand, the top reviewer of AWS Glue writes "Improved our time to implement a new ETL process and has a good price and scalability, but only works with AWS". AWS Data Pipeline is most compared with AWS Database Migration Service, Oracle Data Integrator (ODI), IBM InfoSphere DataStage, IBM Cloud Pak for Integration and SSIS, whereas AWS Glue is most compared with Talend Open Studio, Informatica PowerCenter, SSIS, AWS Database Migration Service and SAS Data Integration Server.

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We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.