We performed a comparison between AWS Glue and Informatica PowerCenter based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Of the two solutions, users prefer Informatica PowerCenter because AWS Glue only integrates with AWS services.
"I also like that you can add custom libraries like JAR files and use them. So, the ability to use a fast processing engine and embed basic jobs easily are significant advantages."
"The solution is serverless so it allows us to transform data while optimizing the cost and performance of Spark jobs."
"The key role for Glue is that it hosts our metadata before rolling out our actual data. This is the major advantage of using this solution and our clients client have been very satisfied with it."
"AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software."
"It is a stable and scalable solution."
"Its user interface is quite good. You just need to choose some options to create a job in AWS Glue. The code-generation feature is also useful. If you don't want to customize it and simply want to read a file and store the data in the database, it can generate the code for you."
"AWS Glue is fast and managed by AWS. Hence, you don't have to worry about capacity and the performance of Glue jobs. It has integrations with other data stores of AWS. The product offers metadata management, logging, and ETL processing capabilities. It comes with a powerful feature, Glue Studio, which helps to do queries interactively within the community. It is a managed service and very secure. Another popular and mature service is S3."
"I like the fact that AWS Glue works with Python scripts."
"It reduces a lot of legacy coding."
"What I like the most is that we have to deal with less while writing the queries."
"The greatest feature is that it is very easy to have someone come in and jump right in. It is one of the nicest tools in terms of getting a person acquainted quickly."
"Can manage a huge quantity of data and provide reliability."
"The most valuable features are the metadata repository and the data warehouse application console."
"It has helped us monetize."
"Has a good visual tool for data mapping."
"We have found the PowerCenter and B2B data transformation most valuable."
"The solution's visual ETL tool is of no use for actual implementation."
"AWS Glue is more costly compared to other tools like Airflow."
"If there's a cluster-related configuration, we have to make worker notes, which is quite a headache when processing a large amount of data."
"The technical support for this solution could be improved. In future, we would like to connect more services like Athena or Kinesis to help control more loads of data."
"The start-up time is really high right now. For instance, when you start up a new job, you have to wait for five or eight minutes before it starts. If the start-up time is reduced to one or two minutes, it will be great. It will be better to have a direct linkage to Redshift in AWS. If we can use data catalogs from Redshift, it will be so easy to create some data catalogs. Currently, we can only use data catalogs from S3."
"In terms of improvement, the performance of AWS Glue could be faster."
"Glue could perform better. It sometimes takes too long to test a Glue job. Google Cloud Platform offers more Python scripts than AWS."
"While working on AWS Glue, I could not find any training material for it."
"Its interface can be modernized. It is an old product. I have been working with it for 14 years, and it still looks the same. It hasn't been modernized much. It also needs to handle more modern formats, such as JSON files. It works with the old text files and databases, but it does not always work with the newer, modern stuff. You need to make your own programs to support that kind of stuff. Support is also a kind of difficult with Informatica. They don't do direct support and rely on using their distributors around the globe for support, which means that you kind of have to go through this layer of different companies before you get help."
"The performance of Informatica PowerCenter could improve."
"I would like to see an improvement in the digital adoption."
"Informatica PowerCenter could improve on the documentation for the implementation. The documents provided are not very good for a new user."
"While Informatica is great for data-integration, it does not have any analytics features. Thus, organizations have to always look for another product for their BI needs."
"There is some room for improvement in terms of pricing."
"Support could be better."
"The UI is outdated and old-fashioned, at least in our current version. Also, we have experienced some stability issues with the Workflow Monitor application."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews. AWS Glue is rated 7.8, while Informatica PowerCenter is rated 8.0. The top reviewer of AWS Glue writes "Provides serverless mechanism, easy data transformation and automated infrastructure management". On the other hand, the top reviewer of Informatica PowerCenter writes "Stable, provides good support, and integrating it with other systems is very fast, but its pricing is expensive". AWS Glue is most compared with AWS Database Migration Service, SSIS, Informatica Cloud Data Integration, Talend Open Studio and Confluent, whereas Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and Informatica PowerExchange. See our AWS Glue vs. Informatica PowerCenter report.
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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.
