We performed a comparison between AWS Glue and Informatica Cloud Data Integration based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: For users vested in the AWS ecosystem, AWS is hands down the best choice. Informatica Cloud Data Integration is flexible and allows users to decide how to distribute their IPUs in their own networks. Data residency laws make it challenging to choose this solution, as their regions are currently very limited.
"Our entire use case was very easily handled or solved using this solution."
"The most valuable feature of AWS Glue is scalability."
"The most valuable feature for me is the visual interface of AWS Glue."
"AWS Glue is quite better than other tools, but you have to learn it properly before you start using it."
"I appreciate AWS Glue for its cost-effectiveness."
"The most valuable feature of AWS Glue is its ease of use and good documentation. Additionally, we can do all the transformations that we need."
"The solution is highly user-friendly, and its features are easy to use. The new addition of AWS Glue Data Catalog is also very beneficial, making the tool even more helpful for its users."
"The solution integrates well with other AWS products or services."
"The support is very good."
"The features I find most valuable is the synchronization, verification, functionalities and all the data integration features."
"Informatica is good for integrating data and cloud applications. We have connectors for integrating cloud applications like Salesforce. You can quickly integrate anything with an exposed API or a REST API. The industry is increasingly shifting to the cloud, so we need more products that can connect to cloud-based applications. The integration is seamless and works in real time. It's also secure because you don't need to expose databases or tables."
"It has become an easy way to exchange information through any cloud application."
"It is quite easy to use and flexible."
"The solution provides increased efficiency while still being user-friendly and easy to operate."
"The most valuable feature is the building of mockups and tasks."
"Data integration is the most valuable feature. The ability to connect to any of the sources and enterprise applications makes our lives easier."
"AWS Glue would be improved by making it easier to switch from single to multi-cloud."
"Currently, it supports only two languages in the background: Python and Scala. From our customization point of view, it would be helpful if it can also support Java in the background."
"The solution's visual ETL tool is of no use for actual implementation."
"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 performance, if they can further optimize the execution time for serverless jobs, it would be a welcome improvement."
"Only people who can code, either in Java or Python, can use the product freely. Those who don't know Java or Python might find using AWS Glue difficult."
"The solution should offer features for streaming data in addition to batching data."
"The interface for AWS Glue could improve, they do not put a lot of details. You can write the code, in PySpark or in Scala, which is a big advantage, it is only easy to use for a developer. It will be difficult for new users to enter the cloud environment."
"I would like to see support for more data sources."
"Error reporting and debugging need improvement."
"Cost-wise, it could be better."
"The regions in which the data resides are still limited. This could be an issue in terms of the data residency laws of some of the countries. They should get more regions."
"With the solution, we had some issues, and we have every day, and we used to open a ticket. Sometimes, there are data issues and transformation issues."
"The price modeling could be more flexible."
"There is room for improvement at the highest level in terms of useability and connectors for various types of new applications. The row processing performance could be better because you experience some latency dealing with high volumes of data. Most organizations will be dealing with multiple cloud applications, so you could see performance issues moving from one system to another."
"A general improvement in icons and the virtual interface would be good."
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AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 40 reviews. AWS Glue is rated 7.8, while Informatica Cloud Data Integration is rated 7.8. 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 Cloud Data Integration writes "A stable, scalable, and user-friendly solution". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Talend Open Studio and Oracle Integration Cloud Service, whereas Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Azure Data Factory, Fivetran, Mule Anypoint Platform and SAP Data Services. See our AWS Glue vs. Informatica Cloud Data Integration 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.