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."AWS Glue is quite better than other tools, but you have to learn it properly before you start using it."
"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 most valuable feature of AWS Glue is that it provides a GUI format with a drag-and-drop feature."
"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."
"The solution helps organizations gain flexibility in defining the structure of the data."
"I like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations."
"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."
"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 special text processing features in this solution are very important for me."
"The most valuable features are the detection and correlation features."
"Gives us a more user-friendly, centralized solution (for those who just needed a quick glance, without being masters of sed and awk) as well as the ability to implement various mechanisms for machine-learning from our logs, and sending alerts for anomalies."
"Implementing the main requirements regarding my support portal."
"The solution is quite scalable and this is one of its advantages."
"You have dashboards, it is visual, there are maps, you can create canvases. It's more visual than anything that I've ever used."
"I am impressed with the product's Logstash. The tool is fast and customizable. You can build beautiful dashboards with it. It is useful and reliable."
"The initial setup is very easy for small environments."
"The mapping area and the use of the data catalog from Glue could be better."
"The crucial problem with AWS Glue is that it only works with AWS. It is not an agnostic tool like Pentaho. In PowerCenter, we can install the forms from Google and other vendors, but in the case of AWS Glue, we can only use AWS."
"The product is expensive for data streaming. This area needs improvement."
"I haven't looked into Glue in terms of seeking out flaws. I've not come across missing features."
"The setup and installation is a bit complex without advanced knowledge or training."
"AWS Glue would be improved by making it easier to switch from single to multi-cloud."
"The solution could be cheaper. The price of the solution is an area that needs 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 one area that can use improvement is the automapping of fields."
"We'd like more user-friendly integrations."
"Its licensing needs to be improved. They don't offer a perpetual license. They want to know how many nodes you will be using, and they ask for an annual subscription. Otherwise, they don't give you permission to use it. Our customers are generally military or police departments or customers without connection to the internet. Therefore, this model is not suitable for us. This subscription-based model is not the best for OEM vendors. Another annoying thing about Elasticsearch is its roadmap. We are developing something, and then they say, "Okay. We have removed that feature in this release," and when we are adapting to that release, they say, "Okay. We have removed that one as well." We don't know what they will remove in the next version. They are not looking for backward compatibility from the customers' perspective. They just remove a feature and say, "Okay. We've removed this one." In terms of new features, it should have an ODBC driver so that you can search and integrate this product with existing BI tools and reporting tools. Currently, you need to go for third parties, such as CData, in order to achieve this. ODBC driver is the most important feature required. Its Community Edition does not have security features. For example, you cannot authenticate with a username and password. It should have security features. They might have put it in the latest release."
"Elastic Enterprise Search could improve its SSL integration easier. We should not need to go to the back-end servers to do configuration, we should be able to do it on the GUI."
"There is an index issue in which the data starts to crash as it increases."
"It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement."
"Technical support should be faster."
"Elastic Enterprise Search's tech support is good but it could be improved."
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.
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