We performed a comparison between AWS Glue and Elastic Search based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."What I like best about AWS Glue is its real-time data backup feature. Last week, there was a production push, and what used to take almost ten days to send out around fifty-six thousand emails now takes only two hours."
"AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software."
"The solution helps organizations gain flexibility in defining the structure of the data."
"One of the best features of the solution is its ability to easily integrate with other AWS services."
"AWS Glue is quite better than other tools, but you have to learn it properly before you start using it."
"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."
"Data catalog and triggers are the two best features for me. AWS Glue has its own data catalog, which makes it great and really easy to use. Triggers are also really good for scheduling the ETL process."
"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."
"The most valuable feature of Elastic Enterprise Search is the opportunity to search behind and between different logs."
"The most valuable features are the detection and correlation features."
"The products comes with REST APIs."
"The solution offers good stability."
"The most valuable feature for us is the analytics that we can configure and view using Kibana."
"There's lots of processing power. You can actually just add machines to get more performance if you need to. It's pretty flexible and very easy to add another log. It's not like 'oh, no, it's going to be so much extra data'. That's not a problem for the machine. It can handle it."
"Implementing the main requirements regarding my support portal."
"The solution has good security features. I have been happy with the dashboards and interface."
"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 mapping area and the use of the data catalog from Glue could be better."
"AWS Glue is more costly compared to other tools like Airflow."
"While working on AWS Glue, I could not find any training material for it."
"It fails to handle massive databases acquired from various sources."
"It is not clear how the partition discovery would have been affected by more data coming in."
"The solution’s stability could be improved."
"There is a learning curve to this tool."
"I would like to be able to do correlations between multiple indexes."
"Performance improvement could come from skipping background refresh on search idle shards (which is already being addressed in the upcoming seventh version)."
"There is an index issue in which the data starts to crash as it increases."
"The price could be better. Kibana has some limitations in terms of the tablet to view event logs. I also have a high volume of data. On the initialization part, if you chose Kibana, you'll have some limitations. Kibana was primarily proposed as a log data reviewer to build applications to the viewer log data using Kibana. Then it became a virtualization tool, but it still has limitations from a developer's point of view."
"We see the need for some improvements with Elasticsearch. We would like the Elasticsearch package to include training lessons for our staff."
"Machine learning on search needs improvement."
"The GUI is the part of the program which has the most room for improvement."
"Improving machine learning capabilities would be beneficial."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Elastic Search is ranked 9th in Cloud Data Integration with 59 reviews. AWS Glue is rated 7.8, while Elastic Search is rated 8.2. 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 Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas Elastic Search is most compared with Faiss, Milvus, Pinecone, Azure Search and Amazon Kendra. See our AWS Glue vs. Elastic Search report.
See our list of best Cloud Data Integration vendors.
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