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."The solution's technical support is good. Whenever we raise a use case where we face an issue in our company, we get a response from the solution's technical team."
"The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."
"AWS Glue's best features are scalability and cloud-based features."
"I like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations."
"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."
"AWS Glue is a stable and easy-to-use solution."
"The solution is stable and reliable."
"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 most valuable features of Elastic Enterprise Search are it's cloud-ready and we do a lot of infrastructure as code. By using ELK, we're able to deploy the solution as part of our ISC deployment."
"The most valuable features are its user-friendly interface and seamless navigation."
"We can easily collect all the data and view historical trends using the product. We can view the applications and identify the issues effectively."
"I appreciate that Elastic Enterprise Search is easy to use and that we have people on our team who are able to manage it effectively."
"The most valuable feature is the out of the box Kibana."
"I value the feature that allows me to share the dashboards to different people with different levels of access."
"The solution is stable and reliable."
"It is stable."
"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 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."
"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."
"While working on AWS Glue, I could not find any training material for it."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"I haven't looked into Glue in terms of seeking out flaws. I've not come across missing features."
"In terms of improvement, the performance of AWS Glue could be faster."
"In terms of performance, if they can further optimize the execution time for serverless jobs, it would be a welcome improvement."
"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."
"Enterprise scaling of what have been essentially separate, free open source software (FOSS) products has been a challenge, but the folks at Elastic have published new add-ons (X-Pack and ECE) to help large companies grow ELK to required scales."
"The solution must provide AI integrations."
"The pricing of this product needs to be more clear because I cannot understand it when I review the website."
"Elasticsearch could improve by honoring Unix environmental variables and not relying only on those provided by Java (e.g. installing plugins over the Unix http proxy)."
"There are a lot of manual steps on the operating system. It could be simplified in the user interface."
"It is hard to learn and understand because it is a very big platform. This is the main reason why we still have nothing in production. We have to learn some things before we get there."
"I have not been using the solution for many years to know exactly the improvements needed. However, they could simplify how the YML files have to be structured properly."
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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