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."I like the fact that AWS Glue works with Python scripts."
"The solution helps organizations gain flexibility in defining the structure of the data."
"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."
"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."
"We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure."
"The solution integrates well with other AWS products or services."
"I like its integration and ability to handle all data-related tasks."
"The solution is stable and reliable."
"We can easily collect all the data and view historical trends using the product. We can view the applications and identify the issues effectively."
"Elasticsearch includes a graphical user interface (GUI) called Kibana. The GUI features are extremely beneficial to us."
"The solution has good security features. I have been happy with the dashboards and interface."
"The most valuable feature of Elastic Enterprise Search is user behavior analysis."
"X-Pack provides good features, like authorization and alerts."
"It provides deep visibility into your cloud and distributed applications, from microservices to serverless architectures. It quickly identifies and resolves the root causes of issues, like gaining visibility into all the cloud-based and on-prem applications."
"The tool's stability and performance are good."
"The solution is valuable for log analytics."
"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."
"There should be more connectors for different databases."
"The product is expensive for data streaming. This area needs improvement."
"It fails to handle massive databases acquired from various sources."
"In terms of improvement, the performance of AWS Glue could be faster."
"It would be better if it were more user-friendly. The interesting thing we found is that it was a little strange at the beginning. The way Glue works is not very straightforward. After trying different things, for example, we used just the console to create jobs. Then we realized that things were not working as expected. After researching and learning more, we realized that even though the console creates the script for the ETL processes, you need to modify or write your own script in Spark to do everything you want it to do. For example, we are pulling data from our source database and our application database, which is in Aurora. From there, we are doing the ETL to transform the data and write the results into Redshift. But what was surprising is that it's almost like whatever you want to do, you can do it with Glue because you have the option to put together your own script. Even though there are many functionalities and many connections, you have the opportunity to write your own queries to do whatever transformations you need to do. It's a little deceiving that some options are supposed to work in a certain way when you set them up in the console, but then they are not exactly working the right way or not as expected. It would be better if they provided more examples and more documentation on options."
"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 should offer features for streaming data in addition to batching data."
"The pricing of this product needs to be more clear because I cannot understand it when I review the website."
"They should improve its documentation. Their official documentation is not very informative. They can also improve their technical support. They don't help you much with the customized stuff. They also need to add more visuals. Currently, they have line charts, bar charts, and things like that, and they can add more types of visuals. They should also improve the alerts. They are not very simple to use and are a bit complex. They could add more options to the alerting system."
"We have an issue with the volume of data that we can handle."
"Elastic Search needs to improve authentication. It also needs to work on the Kibana visualization dashboard."
"It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement."
"The UI point of view is not very powerful because it is dependent on Kibana."
"There is another solution I'm testing which has a 500 record limit when you do a search on Elastic Enterprise Search. That's the only area in which I'm not sure whether it's a limitation on our end in terms of knowledge or a technical limitation from Elastic Enterprise Search. There is another solution we are looking at that rides on Elastic Enterprise Search. And the limit is for any sort of records that you're doing or data analysis you're trying to do, you can only extract 500 records at a time. I know the open-source nature has a lot of limitations, Otherwise, Elastic Enterprise Search is a fantastic solution and I'd recommend it to anyone."
"The different applications need to be individually deployed."
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, Informatica Cloud Data Integration, SSIS 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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