--- title: AWS Glue Reviews meta_title: 'AWS Glue Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 202 reviews by the users' company size, role or industry to find out how AWS Glue works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 202 scale: '5' date_modified: '2026-06-24' parent_category: name: Cloud Data Integration url: https://www.g2.com/categories/cloud-data-integration --- # AWS Glue Reviews **Vendor:** Amazon Web Services (AWS) **Category:** [ETL Tools](https://www.g2.com/categories/etl-tools) **Average Rating:** 4.3/5.0 **Total Reviews:** 202 ## About AWS Glue AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application develop-ment. You can discover and connect to 70+ diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor ETL pipelines to load data into your data lakes. You can im-mediately search and query catalogued data using Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum. ## AWS Glue Pros & Cons **What users like:** - Users value the **ease of use** of AWS Glue, finding it straightforward for data preparation and analytics tasks. (6 reviews) - Users appreciate the **seamless data integration** capabilities of AWS Glue, enabling efficient data movement and transformation. (3 reviews) - Users appreciate the **fully managed ETL service** of AWS Glue, enjoying seamless integration and ease of use. (3 reviews) - Users appreciate the **functionality and versatility** of AWS Glue, enabling easy data discovery and job execution. (3 reviews) - Users value the **ease of implementation** in AWS Glue, enhancing data integration and error tracing for scripts. (3 reviews) - Users value the **seamless cloud integration** of AWS Glue, which simplifies data movement and transformation across services. (2 reviews) - Data Cataloging (2 reviews) - Data Lineage (2 reviews) - Data Storage (2 reviews) - Users value the **easy integrations** of AWS Glue with AWS services, enhancing data handling across platforms effortlessly. (2 reviews) **What users dislike:** - Users experience **slow performance** with AWS Glue, particularly during startup and debugging, which can hinder productivity. (3 reviews) - Users find **debugging difficult** in AWS Glue due to unclear error messages and a steep learning curve. (2 reviews) - Users often face **difficult debugging** processes in AWS Glue, complicating the troubleshooting experience and prolonging job startups. (2 reviews) - Users experience **performance issues** with AWS Glue, including slow start-up times and complex debugging processes. (2 reviews) - Users find AWS Glue **time-consuming** due to slow startup times and complex debugging processes, especially for beginners. (2 reviews) - Users struggle with **access control limitations** due to the legacy version being inaccessible and inadequate documentation. (1 reviews) - Users often experience **compatibility issues** with AWS Glue, impacting job execution and limiting file format support. (1 reviews) - Complexity (1 reviews) - Users face challenges with **complex transformations** in AWS Glue, leading to concerns about data quality and system efficiency. (1 reviews) - Users often experience **connection issues** with AWS Glue, which can block jobs and hinder workflow efficiency. (1 reviews) ## AWS Glue Reviews ### 1. AWS Glue Makes ETL Simple with Serverless Scalability and Deep AWS Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Pradip G. | Technology Lead, Computer Software, Enterprise (> 1000 emp.) **Reviewed Date:** February 19, 2026 **What do you like best about AWS Glue?** AWS Glue simplifies ETL with its serverless architecture and tight integration with the AWS ecosystem. The built-in Data Catalog, schema discovery, and job automation features reduce operational overhead. It is highly scalable, cost-effective, and suitable for both batch and streaming workloads. **What do you dislike about AWS Glue?** One downside of AWS Glue is the job startup time, which can be slow for small workloads. Debugging Spark jobs is sometimes difficult, especially when logs are not very clear. Cost can increase if jobs are not optimized properly. Also, the UI can feel limited for complex transformations compared to full-scale Spark development **What problems is AWS Glue solving and how is that benefiting you?** AWS Glue is solving the problem of managing and transforming large amounts of data from multiple sources. Earlier, setting up ETL infrastructure required servers and manual maintenance. With AWS Glue, we can automate data ingestion, transformation, and cataloging without managing infrastructure. This benefits us by reducing operational effort, improving data reliability, and enabling faster analytics through services like Athena and Redshift In our DevOps workflow, we manage AWS Glue resources entirely through Terraform. We’ve deployed several Glue Jobs (Spark-based) to handle partitioned data in our S3 data lake. Using Glue's serverless nature helps us avoid the overhead of managing a dedicated EMR cluster while maintaining high scalability for our monthly batch processing ### 2. Serverless ETL Made Easy with AWS Glue **Rating:** 5.0/5.0 stars **Reviewed by:** mani s. | data engineer, Enterprise (> 1000 emp.) **Reviewed Date:** May 24, 2026 **What do you like best about AWS Glue?** The best thing I like about AWS Glue is that it provides serverless ETL capabilities without having to manage infrastructure. AWS Glue also supports schema enforcement through the Glue Data Catalog. It’s easy to integrate with S3 and Athena seamlessly. It also supports PySpark for big data processing, which is another reason I like AWS Glue. **What do you dislike about AWS Glue?** I don’t have any major dislikes about AWS Glue. Overall, it’s a good tool and has worked well for what I need. **What problems is AWS Glue solving and how is that benefiting you?** AWS Glue solves problems like ETL automation and schema enforcement very easily. For me, it mainly addresses the manual effort of ETL pipeline creation and ongoing maintenance. Another major problem it solves is integration: it can connect to multiple data sources without much hassle. It also eliminates server management thanks to its serverless architecture. ### 3. Cloud native, Serverless, Scalable, and Easy Setup for Python ETL **Rating:** 4.0/5.0 stars **Reviewed by:** Sujith C. | Senior Software Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 20, 2026 **What do you like best about AWS Glue?** Serverless service. Scalable (based on number of workers). Easy setup. Can start with simple Python script. Abstracts away some of the complexities of PySpark. **What do you dislike about AWS Glue?** Single script file based - It is difficult to deploy modular code on Glue. There are options to zip and link. But the UI only displays entrypoint file. could have been much better if it was similar to lambda functions in terms of deployment and packaging. Auto scaling sometimes doesn't work as expected. Unexpected compute usage even when running single threaded low compute tasks. No direct integration with Event bridge. Logging is problematic. By default, all jobs uses one log group. Difficult to parse logs. **What problems is AWS Glue solving and how is that benefiting you?** Abstracts server setup for ETL tasks. Flexible and cost effective ETL solution. ### 4. AWS Glue: Scalable and automated ETL with seamless integration into the AWS ecosystem **Rating:** 4.5/5.0 stars **Reviewed by:** Caleb F. | Data & IA Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** March 10, 2026 **What do you like best about AWS Glue?** What I value most about AWS Glue is that it allows building and automating ETL processes within the AWS ecosystem without having to manage infrastructure directly. The integration with services like S3, Athena, IAM, Glue Data Catalog, and Step Functions greatly facilitates the orchestration of data pipelines. It is also useful to be able to work with jobs in PySpark and maintain a more scalable architecture for data processing and transformation. In general, it reduces operational effort and speeds up the implementation of pipelines in cloud environments. **What do you dislike about AWS Glue?** What I like the least is that debugging errors is not always straightforward, especially in jobs with PySpark or when configuration issues related to permissions, network, or catalogs arise. The learning curve can also be somewhat steep if you don't have prior experience with data services in AWS. Additionally, some startup and execution times can feel heavy for small loads, and monitoring could be clearer in certain scenarios. **What problems is AWS Glue solving and how is that benefiting you?** AWS Glue helps us address the need to extract, transform, and load data from different sources into a centralized analytical architecture. In particular, it allows for data standardization, automation of recurring processes, and reduction of manual work in integration pipelines. The main benefit is that it improves data flow traceability, facilitates information preparation for analysis and dashboards, and allows processes to scale without relying on manually managed servers. ### 5. Efficient Data Management with Serverless Power, But Debugging Needs Work **Rating:** 4.0/5.0 stars **Reviewed by:** Atharva P. | Cloud BI Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** May 19, 2026 **What do you like best about AWS Glue?** I appreciate AWS Glue's serverless model and data catalog because it makes it easy to process large datasets and maintain metadata without managing clusters manually. Its serverless architecture simplifies building ETL workflows without worrying about infrastructure, which is fantastic for data integration, especially when working within the AWS ecosystem. The crawler and catalog features are particularly useful as they automate schema discovery and metadata management. Schema inference and automated data discovery through crawlers significantly reduce manual setup and simplify onboarding new datasets. These features help in managing metadata efficiently and automatically infer new data schemas when data gets loaded to our storage bucket. **What do you dislike about AWS Glue?** Debugging complex jobs can sometimes be difficult. Especially when working with large part-based transformations, job startup time can also add latency and troubleshooting failures occasionally requires checking multiple logs and configurations. **What problems is AWS Glue solving and how is that benefiting you?** AWS Glue solves data integration and ETL orchestration challenges by automating data discovery, transformation, and movement, reducing manual effort and improving pipeline reliability. ### 6. AWS Glue’s Catalog and Crawlers Make Full and Incremental Loads Easy **Rating:** 5.0/5.0 stars **Reviewed by:** akhil k. | Senior Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** March 12, 2026 **What do you like best about AWS Glue?** The catalog and the crawling services that Glue has make it very easy to design both full and incremental loads. it is very easy and everything can be done from the AWS Glue UI screen itself, thats the best part. **What do you dislike about AWS Glue?** We have millions of databases and millions of tables in each database, and it’s very difficult to search and get to the table we’re looking for because Glue only shows the first 100 records. As a result, this takes a lot of time, and consumers have to wait until it’s done. **What problems is AWS Glue solving and how is that benefiting you?** AWS Glue Data Catalog and AWS Glue Crawlers are the primary features of Glue that we’re leveraging right now. We also use the Glue metastore to process and write our big data pipelines. ### 7. A Reliable Serverless ETL Tool for Scalable Data Processing **Rating:** 4.0/5.0 stars **Reviewed by:** Alankrita P. | Software Engineer, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** December 20, 2025 **What do you like best about AWS Glue?** What I like most about AWS Glue is that it is a fully managed ETL service, so there is very little infrastructure to worry about. It integrates seamlessly with other AWS services like S3, Athena, Redshift, and Lake Formation, which makes data movement and transformation very smooth. The Glue Data Catalog is especially useful because it automatically discovers and organizes data, saving a lot of manual effort. The serverless nature and auto-scaling also help optimize costs since we only pay for what we use. **What do you dislike about AWS Glue?** One challenge with AWS Glue is the learning curve, especially for beginners who are new to Spark or AWS services. Debugging Glue jobs can sometimes be difficult because the error messages are not always very clear. Job startup time can also feel a bit slow for smaller workloads. Additionally, costs can increase quickly if jobs are not optimized properly, so monitoring and tuning are important. **What problems is AWS Glue solving and how is that benefiting you?** AWS Glue solves the problem of managing complex ETL pipelines and infrastructure by providing a serverless, scalable solution. It reduces the time and effort required to build and maintain data pipelines, allowing the team to focus more on data analysis and insights rather than operations. Automated schema discovery and centralized metadata management improve data consistency and accessibility. Overall, it helps speed up data processing, improve reliability, and reduce operational overhead. ### 8. Simplifies Data Discovery and Preparation with Strong Quality & Schema Management **Rating:** 4.5/5.0 stars **Reviewed by:** Jayalakshmi D. | Senior Customer success Executive, Mid-Market (51-1000 emp.) **Reviewed Date:** January 20, 2026 **What do you like best about AWS Glue?** It simplifies discovering, preparing, and combining data for analytics, machine learning, and application development and provides features like data quality, schema management . **What do you dislike about AWS Glue?** It gets start-up times, complex debugging processes. sometimes taking several minutes to start. **What problems is AWS Glue solving and how is that benefiting you?** AWS Glue automatically provisions and scales compute resources based on workload. This reduces operational burden, lowers costs by eliminating idle capacity, and ensures high availability. Making data immediately query able by services like Amazon Athena. ### 9. My experience with AWS Glue **Rating:** 4.0/5.0 stars **Reviewed by:** Anshul J. | Analyst , Mid-Market (51-1000 emp.) **Reviewed Date:** November 19, 2024 **What do you like best about AWS Glue?** Easy to trace the error in the script through runs. My team build a framework to fetch data from different platform through AWS Glue and stores them in S3 in the file format mention by us. That make our integration and fetching data a lot easier. Sppourt frequent data load. It is easy to implement. Good customer support. **What do you dislike about AWS Glue?** Many a time I face server/connectivity issue when using glue and our job get blocked due to that. Does not support xml file formats. **What problems is AWS Glue solving and how is that benefiting you?** I used Glue to fetch data according to my sql query from differeent servers and store it S3 in my defined file format. ### 10. Glue- Best Integration Tool **Rating:** 5.0/5.0 stars **Reviewed by:** Sourab S. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** March 08, 2025 **What do you like best about AWS Glue?** Absolutly love Glue for its functionality. Provides everything needed **What do you dislike about AWS Glue?** The legacy version is now not accesible. Also, the documenttation could be beeter. **What problems is AWS Glue solving and how is that benefiting you?** Intergration Tool and helps me colate data from multiple sources conveinely. the crawlers help me catalog with ease. ### 11. AWS Glue - mediocre ETL tool **Rating:** 2.5/5.0 stars **Reviewed by:** Sonali A. | Senior Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** May 15, 2024 **What do you like best about AWS Glue?** AWS Glue integrates very well with AWS services which are now widely being used by almost every company,since it's AWS original tool,it easily integrates with all others like S3 and redshift. **What do you dislike about AWS Glue?** AWS Glue is not user friendly,the transformation components that we have are not useful in different scenarios and we need to use custom transformation for everything,including even very basic operations. **What problems is AWS Glue solving and how is that benefiting you?** AWS Glue is being used for ETL taking the source data from S3 and migrating the data from different sources like S3 to PostgresSQL,it works wonders for huge volume of data and takes less time compared to other options available.In our project we are migrating the automobile data from S3 to Postgresql ### 12. Dont take take tension-AWS is here **Rating:** 5.0/5.0 stars **Reviewed by:** Vijay K. | Senior Human Resource Executive, Manufacturing, Small-Business (50 or fewer emp.) **Reviewed Date:** December 23, 2024 **What do you like best about AWS Glue?** I like its service. easy to understand and use. **What do you dislike about AWS Glue?** Yet, I didn't find anything bad foe AWS. **What problems is AWS Glue solving and how is that benefiting you?** It given solution to handle bundle of data. we get do extract transform and load from big data. ### 13. GLUE for best ETL Operations **Rating:** 5.0/5.0 stars **Reviewed by:** Mohammed R. | Product Delivery Lead, Enterprise (> 1000 emp.) **Reviewed Date:** October 08, 2024 **What do you like best about AWS Glue?** Visually Effective and ease to use on ETL operation **What do you dislike about AWS Glue?** Selection on Data quality and more system transformation required **What problems is AWS Glue solving and how is that benefiting you?** Data preparation and transformation operation with desired and custom support while checking on quality ### 14. A Serverless Data Integration Service for the Cloud **Rating:** 4.5/5.0 stars **Reviewed by:** Milan S. | Senior Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** November 12, 2023 **What do you like best about AWS Glue?** I love how simple data management and organization are with it. AWS Glue saves a ton of time by automating most of the data integration and preparation process. Even for novices the visual interface is easy to use, and because it's serverless, I don't have to worry about infrastructure. The user interface is simple to use and navigate, making tasks straightforward. I utilize AWS Glue frequently, and it continuously satisfies my needs for data management. The implementation was easy and it's easy to use. **What do you dislike about AWS Glue?** At first, especially if you are unfamiliar with cloud services, it might be a little difficult to understand the pricing. Monitoring usage is essential to preventing unforeseen expenses. Furthermore, even though the graphical user interface is excellent, more customization choices might be available for sophisticated users who want to optimize their data workflows. **What problems is AWS Glue solving and how is that benefiting you?** The pain of data integration and preparation is being eased by AWS Glue. Finding, cleaning, and transforming data are all automated, which makes the process much quicker and simpler. This efficiency is very helpful because it frees up my time so that I can concentrate more on analysis and less on the specifics of data management. Additionally, it scales well to meet my needs, so I won't have to worry about infrastructure management as my data grows and AWS Glue can handle it. ### 15. Best tool for etl **Rating:** 5.0/5.0 stars **Reviewed by:** Sourabh V. | Senior Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 09, 2024 **What do you like best about AWS Glue?** In this tool we can run easily puspark jobs. There is multiple option we can run jobs using notebook and many options there **What do you dislike about AWS Glue?** Nothing its almost good for my work. There is all good **What problems is AWS Glue solving and how is that benefiting you?** We are using this to automate all pyspark pipelines. ### 16. ETL with Glue **Rating:** 4.0/5.0 stars **Reviewed by:** Korla G. | Open source contributor , Small-Business (50 or fewer emp.) **Reviewed Date:** October 29, 2023 **What do you like best about AWS Glue?** Glue is serverless and I need to pay for what I use. Most importantly glue automatically generates script for my ETL job. Extraction of data from data source , transformation and loading to data target has become ease with glue. I have used crawlers in glue to determine schema automatically from the s3 bucket which is my data source and writes meta data to database in data catalog . Using visual ETL I have transformed the schema from data catalog and pushed to target with ease in seconds. While creating ETL job we can select source and target and transform the data using many options provided to make the data clean and noise free. It can dynamically scale resources up and down based on work load. **What do you dislike about AWS Glue?** Glue was only limited to Python and Scala.One must have little knowledge on any of these languages to understand the ETL job script. I only found this a down side of Glue as I am beginner to Glue. **What problems is AWS Glue solving and how is that benefiting you?** Transformation (making noise free) of the extremely lage data has become ease with Glue.It is serverless fully managed ETL service. I only need to pay for what I use. Automatic ETL job script generation. ### 17. AWS Glue- A complete ETL tool. **Rating:** 5.0/5.0 stars **Reviewed by:** Rajat J. | Corporate Trainer, Enterprise (> 1000 emp.) **Reviewed Date:** January 05, 2024 **What do you like best about AWS Glue?** AWS Glue is an ETL service provided by aws which is easy to use and implement. It can be integrated with many services like CLI or SDK allowing its more frequency in usage. It comes with various features that is provided by the AWS like that of availability etc. The customer support of AWS is always satisfying and helps you with cost reduction and sustainable usage of resources. **What do you dislike about AWS Glue?** The main disadvantage of AWS glue is that it only supports two languages i.e, python and scala. **What problems is AWS Glue solving and how is that benefiting you?** AWS glue helps us to perform the ETL tasks in one go. We are getting the data from the sftp server in the raw format. Previously we are using other tools for ETL process. Now as we transitioned to Glue ETL process becomes very easy as we extract the data an transform the data in glue itself and creates the glue catalog. We are then loading the data into s3 buckets thus making our whole process much faster and easier. ### 18. Used it for ETL **Rating:** 4.5/5.0 stars **Reviewed by:** Saurabh G. | Unemployed, Small-Business (50 or fewer emp.) **Reviewed Date:** January 19, 2024 **What do you like best about AWS Glue?** The orchestration of AWS glue is really great for building data pipelines ,the auto scaling of the cluster makes it easy to use .Integrating different data sources is also really helpful and efficient. **What do you dislike about AWS Glue?** Its hard to debug the code in AWS glue for me personally. **What problems is AWS Glue solving and how is that benefiting you?** It helps build robust data pipeline for which can be then used as per business requirements. ### 19. AWS Glue : Bridging the Data Integration Gap **Rating:** 4.0/5.0 stars **Reviewed by:** Pranshu G. | Software Developer, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** September 07, 2023 **What do you like best about AWS Glue?** AWS Glue is a pretty cool tool for handling data integration and ETL tasks. It’s like having a handy assistant that takes care of all the technical stuff, so you don’t have to worry about managing the behind-the-scenes infrastructure. It even keeps your data organized with its Data Catalog, which is like a digital filing cabinet for your data. One of the neat things about Glue is that it can automatically write some of the code for you. That means you don’t have to be a coding wizard to make it work. Plus, it’s really flexible and can handle different workloads without breaking the bank because it scales up or down as needed. So, if you want to make your data tasks easier and more efficient, AWS Glue is definitely worth checking out! **What do you dislike about AWS Glue?** Now, while AWS Glue is pretty handy, it’s not without its quirks. One thing to keep in mind is the cost. If you are not careful, it can sneak up on you, especially if you are dealing with a ton of data. So,budgeting and monitoring your usage are crucial. Also, working with really complex data transformations, Glue usually underperforms ending up investing efforts in some optimization. **What problems is AWS Glue solving and how is that benefiting you?** Using AWS Glue to streamline the data integration and ETL processes. By leveraging Glue’s capabilities, the organization automatically ingest, transform, and prepare complex healthcare data for analysis. This leads to faster access to patient records, better insights into treatment outcomes, and improved billing accuracy. ### 20. A Versatile Data ETL Solution **Rating:** 4.0/5.0 stars **Reviewed by:** Sonny C. | Head of Cloud and Data Business, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** September 11, 2023 **What do you like best about AWS Glue?** AWS Glue is a versatile and powerful Extract, Transform, Load (ETL) service offered by Amazon Web Services (AWS). As a data professional, I've had the opportunity to work extensively with AWS Glue, and it has proven to be a valuable addition to our data pipeline. **What do you dislike about AWS Glue?** AWS Glue costs can be difficult to predict and manage, especially for users with dynamic or fluctuating workloads. The serverless nature of Glue means that costs are tied to the amount of data processed and the execution time of ETL jobs. **What problems is AWS Glue solving and how is that benefiting you?** We do consulting for our clients and they often deal with data stored in various formats and locations, making it challenging to integrate and transform this data for analytics. AWS Glue helps by automating data integration, including data discovery, cataloging, and schema inference. It streamlines the process of connecting to diverse data sources, making data readily available for analysis. ### 21. No Code ETL **Rating:** 5.0/5.0 stars **Reviewed by:** Akhil G. | Small-Business (50 or fewer emp.) **Reviewed Date:** December 13, 2023 **What do you like best about AWS Glue?** The Glue Studio is like a Low Code No Code kind of an environement. **What do you dislike about AWS Glue?** Getting the resource take more time then expected and Job scheduling becomes cubersome. **What problems is AWS Glue solving and how is that benefiting you?** Serverless Glue job helps with with RDS/Redshift connectors helps you to put the aggregated data in respective data stores. ### 22. AWS Glue: A Powerful and Versatile Data Integration Service **Rating:** 4.0/5.0 stars **Reviewed by:** Daniel V. | Senior Consultant, Cloud & DevOps, Mid-Market (51-1000 emp.) **Reviewed Date:** May 02, 2023 **What do you like best about AWS Glue?** - AWS Glue is a serverless service, so you don't have to provision or manage any servers. This makes it very easy to get started with AWS Glue, and it also helps to reduce costs. - AWS Glue is a fully-managed service, so you don't have to worry about managing the underlying infrastructure. This frees you up to focus on your data, and it also helps to improve reliability and security. - AWS Glue is easy to use. You can create and run jobs with a few clicks of a button. AWS Glue also provides a graphical user interface that makes it easy to visualize your data and create ETL pipelines. - AWS Glue is scalable. You can easily scale your jobs up or down to meet your changing needs. AWS Glue also provides a pay-as-you-go pricing model, so you only pay for the resources you use. **What do you dislike about AWS Glue?** - AWS Glue can be complex to set up and use, especially for users who are not familiar with Spark or Python. - AWS Glue can be expensive, especially for large-scale data processing jobs. - AWS Glue does not support all data sources, so you may need to use a different tool for some data sources. **What problems is AWS Glue solving and how is that benefiting you?** AWS Glue solves the following problems: - AWS Glue makes it easy to discover and catalog data sources, including data lakes, databases, and SaaS applications. This makes it easy to find the data you need and to understand its structure. - AWS Glue provides a variety of tools for preparing data for analytics and machine learning. This includes cleaning, transforming, and enriching data. - AWS Glue can be used to integrate data from multiple sources into a single, unified data warehouse or data lake. This makes it easy to analyze data from multiple sources together. AWS Glue is benefiting me by: - AWS Glue automates many of the tasks involved in data discovery, preparation, and integration. This saves me time and allows me to focus on other tasks. - AWS Glue provides a variety of tools for cleaning and transforming data. This helps to improve the quality of my data and makes it easier to analyze. - AWS Glue makes it easy to store and access data from multiple sources. This makes my data more accessible to analysts and other users. ### 23. AWS Glue - Serverless ETL cloud tool **Rating:** 5.0/5.0 stars **Reviewed by:** Poojitha S. | Team Lead, Enterprise (> 1000 emp.) **Reviewed Date:** July 25, 2023 **What do you like best about AWS Glue?** Best of AWS Glue is its easy to use user interface and the features like crawling the data. It uses Apache spark engine to run its jobs which helps in faster execution and it's Serverless feature which automatically provision the resources. It has Glue ETL jobs where the code is auto generated after selecting the data sources and targets. It has crawlers which auto detects the schemas and can be scheduled or run on demand. **What do you dislike about AWS Glue?** There are no incremental sync of data which does not help us to see the real time data for executing complex queries. **What problems is AWS Glue solving and how is that benefiting you?** I use AWS Glue for creating pipelines to move data from snowflakes to redshift and redshift to snowflakes, S3 to EC2 postgres and ec2 postgres to S3 and S3 to Redshift. It integrates with different data sources and helps us to establish secure connections and movement of prepared data. ### 24. AWS Glue Serverless data integration service **Rating:** 4.5/5.0 stars **Reviewed by:** Kishor D. | Enterprise (> 1000 emp.) **Reviewed Date:** October 20, 2023 **What do you like best about AWS Glue?** Cost of ownership is low, handles provisioning, configuration, and autoscaling of the resources for ETL jobs. **What do you dislike about AWS Glue?** AWS glue is compatable with JDBC and s3,it is not compatable with other technologies, it does not process real time data, user interface could be improved **What problems is AWS Glue solving and how is that benefiting you?** 1.no need to set up onprem servers 2.access to large amazon softwares 3.it helps users to prepare,analyse,and transform data from multiple sources ### 25. AWS Glue : one of the best ETL tools **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** October 10, 2023 **What do you like best about AWS Glue?** AWS glue does the ETL etl job near and clean. I've automated the data load from various sources and did transformation using pyspark. Glue facilities this very well **What do you dislike about AWS Glue?** Configuring glue is quite hard as a beginner. Need to be aware other services of AWS platform like iam. And cost wise glue i little bit on higher side compared to google cloud data flow for the facility they provide **What problems is AWS Glue solving and how is that benefiting you?** Data integration was an issue. On beginning days we used to manually extract data, store locally and transform using pandas or pyspark and then load to s3. Now glue is orchestrating all these with ease ### 26. Aws Gule review **Rating:** 3.5/5.0 stars **Reviewed by:** Amit C. | Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** May 09, 2023 **What do you like best about AWS Glue?** - glue catalogue - to create metadata - glue studio help us to simplify the etl process and easy to use template - jyupter note book to run code and test. **What do you dislike about AWS Glue?** - its dnt have sql transformation in glue studio - it doesn't have features to directly load data from kinesis to redshift in glue studio -not suitable for all data processing needs, **What problems is AWS Glue solving and how is that benefiting you?** Serverless Easy to test Faster to deploy Cost-Effective ### 27. Using aws glue for ETL and Crawling. **Rating:** 4.5/5.0 stars **Reviewed by:** Dwarkesh B. | System Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** May 18, 2023 **What do you like best about AWS Glue?** AWS Glue is a ETL(Extract Transform and Load) Serverless tool used to extract data from many sources including AWS S3 and Databases which can be ran automatically based on events or manually when required. Converting CSV files to Tables automatically with lambda as preprocessing is great advantage. **What do you dislike about AWS Glue?** The UI seems bit hard to start with,it is not that user friendly as the new UI for other services are.The Documentation seems new and is being improved but for beginners its lot of training and testing. **What problems is AWS Glue solving and how is that benefiting you?** I wanted to make tables directly from CSV with some minor preprocessing on each row and to use it with quicksight to visualise the data and make graphs for clear understanding of data and output. I also wanted to prepaare data for training a model with clear data. ### 28. AWA Glue- A cost effective solution for Data retrieving and processing. **Rating:** 5.0/5.0 stars **Reviewed by:** SYED ZAFFAR M. | University Faculty/ Management of resources, Mid-Market (51-1000 emp.) **Reviewed Date:** October 24, 2023 **What do you like best about AWS Glue?** it saves a lot of money on infrastructure needs a few components/systems to be installed on-premises and does require a server at the client's place. the good thing about is a cloud-based platform with higher storage capacity. it is easy to use. **What do you dislike about AWS Glue?** Sometimes face problems with integration with third-party applications. transformation is complex. **What problems is AWS Glue solving and how is that benefiting you?** This minimizes the infrastructure at our place and is very simple to use, a highly qualified technical team is not needed to operate and maintain the platform. it is faster and with high data storing capability. ### 29. Powerful data integration and ETL **Rating:** 5.0/5.0 stars **Reviewed by:** Nausheen A. | Big Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 18, 2023 **What do you like best about AWS Glue?** AWS Glue offers a user-friendly interface and a range of tools that make it relatively easy to set up and manage data integration workflows. The graphical interface for creating ETL jobs simplifies the process, allowing users to define data sources, transformations, and targets with little to no coding. **What do you dislike about AWS Glue?** AWS Glue is tightly integrated with the broader AWS ecosystem. While this provides seamless integration with other AWS services, it also means that organizations heavily invested in other cloud providers or on-premises infrastructure may face challenges in adopting AWS Glue as a standalone solution. **What problems is AWS Glue solving and how is that benefiting you?** AWS Glue benefits from a vibrant community of users and developers who share knowledge and best practices. Additionally, AWS provides comprehensive documentation, tutorials, and support resources, ensuring assistance in case of any issues or questions. ### 30. AWS Glue - Data crawling made easier. **Rating:** 4.0/5.0 stars **Reviewed by:** AENGALA S. | Enterprise (> 1000 emp.) **Reviewed Date:** June 23, 2023 **What do you like best about AWS Glue?** AWS Glue provides Glue crawlers which can crawl/read data from a dump (AWS S3) and can organise that data into Glue tables which are easily readable. Glue crawler incrementally adds records to the Glue table, when data source (AWS S3) receives incremental data. This is the best thing I like about AWS Glue. **What do you dislike about AWS Glue?** One Glue crawler can crawl/read from one source location. So you need to have multiple crawlers, if you have data-to-be crawled at different locations. This can be cost effective. **What problems is AWS Glue solving and how is that benefiting you?** Reading data from S3 folders and organising it into relational tables is not an easy job. AWS glue made this difficult task easier for its users. ### 31. Easy to use **Rating:** 5.0/5.0 stars **Reviewed by:** APOORV G. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 23, 2023 **What do you like best about AWS Glue?** Here are some features that I like most about AWS Glue:- Data Catalog: AWS Glue's Data Catalog is a centralised metadata repository that provides a unified view of your data sources. It helps with data discovery and schema management and simplifies transforming and querying data. Scalability: AWS Glue is a fully managed service that automatically scales based on the workload. It can handle large volumes of data and adjust resources accordingly, ensuring efficient and reliable data processing. ETL Automation: AWS Glue offers visual tools and pre-built ETL transformations that automate the process of extracting, transforming, and loading data. This saves time and effort in writing complex ETL code from scratch. Integration with AWS Services: AWS Glue seamlessly integrates with other AWS services, such as Amazon S3, Amazon Redshift, and Amazon Athena. This allows you to build comprehensive data pipelines and leverage the full capabilities of the AWS ecosystem. Cost-Effective: With AWS Glue, you only pay for the resources you use during data processing. It provides cost optimisation features like data compression and partitioning, helping to reduce storage and processing costs. **What do you dislike about AWS Glue?** Some challenges that I have faced with AWS Glue:- Learning Curve: AWS Glue, like any other complex service, may have a learning curve for new users. Understanding its features, configuration options, and best practices might require some initial effort. Limited Control over Execution Environment: Since AWS Glue operates in a managed serverless environment, you have limited control over the execution environment. This can sometimes restrict customisation options or require workarounds for specific use cases. Debugging and Troubleshooting: When encountering issues during data transformation or ETL processes, debugging and troubleshooting can be challenging in AWS Glue. Proper logging, error handling, and understanding the underlying causes of failures might require additional effort. **What problems is AWS Glue solving and how is that benefiting you?** Here are some of the problems AWS Glue helps solve and how they benefit me: Data Integration and Transformation: AWS Glue simplifies the integration and transformation of data from various sources. It provides tools and capabilities for data exploration, conceptual models, and data transformations, enabling users to efficiently prepare and clean data for analysis, control, or other procedures below. Scalability and performance: With AWS Glue, users can scale data and resources based on operational needs. This ensures efficient and timely completion of data processing operations, regardless of data volume or complexity. Data Catalog and Metadata Management: AWS Glue's Data Catalog is a central metadata repository, providing a unified view of data and its schemas. This improves data management, facilitates discovery, and simplifies data monitoring and metadata management to improve data quality and consistency. ETL automation: AWS Glue can automate the extract, transform, and load (ETL) process. It provides visualisation tools and advanced transformations that reduce the need for manual coding and speed up the development and deployment of ETL workflows. This automation saves time and effort for data engineers and analysts. ### 32. Software development **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Small-Business (50 or fewer emp.) **Reviewed Date:** September 13, 2023 **What do you like best about AWS Glue?** As of my experience AWS is best for Etl jobs for our data and it's also gives scalibility it have a best ability for automation it gives benifit if we have large dataset and if we working and handle on large data **What do you dislike about AWS Glue?** The main concern in AWS glue is to so much costing of glue jobs and I was worked with 5000 dataset I was facing some performance issue as compare to cost they need to work on performance also **What problems is AWS Glue solving and how is that benefiting you?** It's gives a lot of benifit to managing our data through Etl basically it maintains our data and load to data lake this process also save so much time all worked done by Etl job and the main benifit is to no need to manage infrastructure we can manage from anywhere ### 33. AWS Glue ETL transform service offered by AWS cloud **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Manufacturing | Mid-Market (51-1000 emp.) **Reviewed Date:** November 28, 2023 **What do you like best about AWS Glue?** Glue it helps on more of my ETL transformation jobs. Dynamic framework offers me to work with semi structured and structured data. and generated schema automatically. Rich integration to other AWS service. redshift, s3 and many more. Spark shell we can accumute for spark jobs. **What do you dislike about AWS Glue?** cost is higher for aws glue service. little complexity in debugging and troublshooting. **What problems is AWS Glue solving and how is that benefiting you?** worked built more spark jobs for ETL transformation worked on more Pipelines using AWS glue service both python shell and spark shell. glue helped me to do ETL and load the data to other tables. ### 34. Half cooked ETL tool **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** May 20, 2023 **What do you like best about AWS Glue?** The advantage that I see of using gule is that it has better integration with the AWS cloud. It is cost efficient as it's able to read data on AWS, and need not to provide data outbound network cost. Also I like how it's able to identify the schema of the data in S3 bucket using the data catalogue. I also like that it's a low code platform where I need to only worry about the main ETL logic and not the other components of code that are used to extract, write of data and its server less. **What do you dislike about AWS Glue?** There are less transformation logics that are available in gule. Also the time and knowledge needed to setup glue for the first time is quite high and doesn't look seemless as compared to the likes of matallion. There are very few glue resources available to study and get into using this product. The community is also very small hence finding answers to the question is quite difficult. **What problems is AWS Glue solving and how is that benefiting you?** The fact that it's a AWS offering it makes easier to access the data from other AWS services used like RDS, S3 etc. Since it's on cloud and is server less it's easy to scale up and down as required. From cost perspective as well since we pay for the only time that we have used the service its very cost effective. ### 35. Great ETL and batch processing tool **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Consumer Goods | Enterprise (> 1000 emp.) **Reviewed Date:** May 17, 2023 **What do you like best about AWS Glue?** we can able to solve or we can say the solution which Glue provides that is, it can easily integrate with other AWS services like S3, RDS, Athena 3) pricing model is also very like pay-as-you-go 4) the main business problem which glue solve we can ingest the data ewe can perform ETL on top that and can create spark or python shell jobs **What do you dislike about AWS Glue?** The crucial problem with AWS Glue is that it only works with AWS. In-Stream schema registries feature people can not use this more efficiently. when you want to use it to transform your data then glue also provides there own transformation also in that option you can able to do PII masking of Data if you don't want to use any code approach. The second scenario would be when want to integrate glue with other AWS services. and also wants to run Spark on glue for faster processing. less appropriate:- If you want to integrate with other services which are outside of AWS. it does not support Java as of now so if you have java resources then you can not run it **What problems is AWS Glue solving and how is that benefiting you?** In my current use case we mainly use AWS Glue for Extract Transform Load to process batch data on daily basis. 2) the main problem we can able to solve or we can say the solution which Glue provides that is, it can easily integrate with other AWS services like S3, RDS, Athena 3) pricing model is also very like pay-as-you-go 4) the main business problem which glue solve we can ingest the data ewe can perform ETL on top that and can create spark or python shell jobs ### 36. AWS ETL tool **Rating:** 3.5/5.0 stars **Reviewed by:** Anjali J. | Lead Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 27, 2023 **What do you like best about AWS Glue?** It's a fully managed tool that is serverless. Glue offers a visual interface and code generation capabilities for data preparation and ETL (Extract, Transform, Load) tasks. You can visually design data transformation workflows or write custom code in Python or Scala using Apache Spark, simplifying the process of transforming and cleaning your data. **What do you dislike about AWS Glue?** It is bit costly. Need some learning before starting work on AWS glue. Fine-tuning and optimizing your ETL jobs may be required for optimal performance. Debugging capabilities and error messages may not always provide detailed insights into the root cause of failures, making troubleshooting a bit more complex. **What problems is AWS Glue solving and how is that benefiting you?** Data transformation. Raw data was received in csv transformed, and validated based on business rules. Business is able to understand and solve complex problems based on the transformed data. ### 37. AWS Glue Unleashed: Seamless Integration with Google BigQuery for Data Exchange **Rating:** 5.0/5.0 stars **Reviewed by:** Siddharth S. | Cloud Engineer Trainee , Enterprise (> 1000 emp.) **Reviewed Date:** May 18, 2023 **What do you like best about AWS Glue?** I like AWS Glue's ability to automate and streamline the data preparation and ETL process. and The automated data preparation capabilities save time and effort, enabling data professionals to focus on deriving insights instead of manual tasks **What do you dislike about AWS Glue?** I dislike its limited customisation options in AWS Glue, which can be restrictive for users seeking advanced customisation or complex transformations. This may necessitate additional coding or integration with other AWS services to achieve the desired level of customisation and flexibility. **What problems is AWS Glue solving and how is that benefiting you?** It solves challenges in data preparation and ETL processes also. By streamlining data workflows, AWS Glue empowers users to overcome obstacles and extract maximum value from their data. ### 38. AWS Glue to stick with your data integration and analysis. **Rating:** 4.5/5.0 stars **Reviewed by:** Firoj S. | DevOps Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 27, 2023 **What do you like best about AWS Glue?** As it is a managed service by AWS, there is less overhead, and it can have multiple data sources, be it S3 or some storage. It can work time effectively and produces some insightful results. **What do you dislike about AWS Glue?** AWS Glue does not seem pocket-friendly, especially for beginners, and users can opt out to other alternatives. **What problems is AWS Glue solving and how is that benefiting you?** The main problem it is solving is that we have data in our S3 bucket, and from there, we are fetching data and creating some business insights to work on some trends, helping us improve our business. ### 39. Great ETL tool **Rating:** 5.0/5.0 stars **Reviewed by:** Karunakar M. | Lead Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** January 21, 2024 **What do you like best about AWS Glue?** Automatically schema conversion between legacy to cloud database conversion **What do you dislike about AWS Glue?** I don't think I have any cons at this time **What problems is AWS Glue solving and how is that benefiting you?** Schema conversion ### 40. Gald I used Glue **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Small-Business (50 or fewer emp.) **Reviewed Date:** December 16, 2023 **What do you like best about AWS Glue?** Perfect for our project to extract and transform data from AWS RDS into GoodData platform. Perfect for a quick POC project. **What do you dislike about AWS Glue?** THere were some niggles that needed help from AWS crew to sort out as we have run into problems with missing columns specially when the source column had null values **What problems is AWS Glue solving and how is that benefiting you?** We needed a POC to convert data from production AWS RDS into parquet format so our BI tool can load them into their system ### 41. AWS Glue Service **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** May 01, 2023 **What do you like best about AWS Glue?** AWS Glue is a serverless ETL integration tool to process your data. I have used Glue Jobs(python) in my Migration project and I liked the below features of AWS Glue service. a> Serverless ETL tools to start data integration b> Support Python3.9 version including several popular packages like pandas, SQLalchmy, etc. So no need to explicitly include/install those packages. c> Scheduled and an event-based job that can be used in Workflow d> Monitor Dashboard for Active Glue Jobs **What do you dislike about AWS Glue?** if we have to use an external library like Cx_oracle or another, we have to use Python wheel files, that some time is quite confusing for developers. **What problems is AWS Glue solving and how is that benefiting you?** AWS Glue jobs provide serverless ETL features that are easily used to process data. Glue Jobs solves Complex ETL infra-structure setups and also minimizes the cost that usually happens on-premises. AWS Glue provides ready-to-use ETL infrastructure. We have used Glue job and written a transformation script in the python3.9 version quite easily and orchestrated with Glue Workflow. Additionally, it proves Monitor Dashboard, which is quite helpful to monitor glue job status. ### 42. AWS Glue: Powerful And Easy To Use Big Data Transformation Tool. **Rating:** 4.5/5.0 stars **Reviewed by:** Syed Z. | AWS Associate Engineer , Small-Business (50 or fewer emp.) **Reviewed Date:** April 28, 2023 **What do you like best about AWS Glue?** Comment:"AWS and AWS Glue has great capability and makes using Spark, PySpark and now even Ray easy, also AWS gives us a lot of human support to use AWS Glue. However, it is still quite complex and to set it up (with code, not GUIs) is still not super easy and needs a lot of tweaking. Also cost explode quite easily. One needs to be careful to build prototypes and experiment and tweak without not creating too much cost. A product like AWS Glue prototype job could be a great addition... it could automatically enforce best practices for prototyping on small datasets and extrapolating findings on large datasets... E.g. a Glue job assistant could ask some question about the data and the job that needs to be done and then suggest a test case and enforce it (i.e. allow only few dpus, short runtime, little data, but still allowing for extrapolating insights to large datasets). Still AWS Glue lead us to efficiently running jobs that need little to no maintainence and which run smoothly and reliably." **What do you dislike about AWS Glue?** visuals, log and debug "select and onboarding was difficult, but overall its ok as a product for etl, design was the most hardest and time consuming part, it take a while to refine the process, but one its done right it a perfect tool, we are still working on this process right." **What problems is AWS Glue solving and how is that benefiting you?** It easy to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue provides all of the capabilities needed for data integration. It uses both visual and code-based interfaces to make data integration easier. ### 43. AWS Glue **Rating:** 4.5/5.0 stars **Reviewed by:** ROBIN K. | Business Intelligence Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 25, 2023 **What do you like best about AWS Glue?** Integration with other AWS services: AWS Glue can be integrated seamlessly with other AWS services, such as AWS Lambda, Amazon S3, AWS Step Functions, and Amazon CloudWatch, allowing users to build end-to-end data processing pipelines and workflows within the AWS ecosystem. **What do you dislike about AWS Glue?** Cost considerations - Even though AWS Glue offers a serverless architecture, the cost of running data integration jobs can still vary based on factors such as the volume of data, the complexity of transformations, and the frequency of job runs. Users need to be mindful of the costs associated with data transfer, storage, and processing and optimize their usage accordingly. **What problems is AWS Glue solving and how is that benefiting you?** Data Ingestion and Data Transformation -AWS Glue simplifies the process of ingesting data from various sources, such as databases, data lakes, and streaming sources, into AWS for further processing and analysis. Also, it allows users to transform data using its visual ETL tools easily or by writing custom code using PySpark, a Python-based framework for big data processing. It can clean, enrich, normalize, aggregate, and otherwise transform data to meet specific requirements. ### 44. A powerful tool that offers many benefits for data processing and ETL workflows **Rating:** 3.5/5.0 stars **Reviewed by:** Hümeyra . | Site Coordinator, Mid-Market (51-1000 emp.) **Reviewed Date:** April 24, 2023 **What do you like best about AWS Glue?** Scalability: AWS Glue is a fully managed service, which means it can scale automatically based on your data processing needs. This makes it easy to handle large data volumes and perform ETL jobs efficiently. Easy to use: AWS Glue provides a simple and user-friendly interface for building and managing ETL workflows, making it accessible even to users without prior ETL experience. Cost-effective: AWS Glue charges on a per-second basis, which means you only pay for the time and resources you use. This makes it a cost-effective solution for small and large-scale data processing jobs. **What do you dislike about AWS Glue?** Limited customization: While AWS Glue allows users to create custom ETL scripts in Python, Scala, or Java, it has some limitations on the level of customization that can be achieved. This may limit the flexibility of the tool for some use cases. Data privacy and security concerns: Since AWS Glue is a cloud-based service, customers need to be mindful of data privacy and security concerns. Sensitive data may need additional security measures to protect it from unauthorized access. **What problems is AWS Glue solving and how is that benefiting you?** Data preparation and cleaning, data integration, scalability and cost-effective. AWS Glue can provide several benefits for organizations that need to process, clean, and integrate large volumes of data for analytics, machine learning, and other applications. ### 45. Glimpse of Glue **Rating:** 4.0/5.0 stars **Reviewed by:** Saravanan M. | Software Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** August 09, 2023 **What do you like best about AWS Glue?** Glue is nothing but the ETL (Extract ,Transform,Load) Tool .It is mainly data extraction and transformation and loaded as other format as physical source.Compatibility is the best and here the versions are maintained as the backup of every datacolumns updated **What do you dislike about AWS Glue?** Cost in data transfer is high, debugging challenges are there **What problems is AWS Glue solving and how is that benefiting you?** Mainly for reporting,the streamed data from user side is directly extracted from s3 buckeg and transform to json and loaded to the view tables create in glue and loaded to Athena while crawling ### 46. Better Dev Tool **Rating:** 3.5/5.0 stars **Reviewed by:** Kabilarasan j. | Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** July 10, 2023 **What do you like best about AWS Glue?** Interactive dev session. Script running feature is one of the biggest upside of this tool **What do you dislike about AWS Glue?** File organisation among team mates is really messy in the aws glue. Folder structure should be added. On top of this, without auto shutdown of session feature in interactive session, sometime it really shots up the cost. Documentation for the aws glue could have better. **What problems is AWS Glue solving and how is that benefiting you?** It helps to create new pipelines for data integration. It will be more helpful ### 47. Efficient Data Integration with the AWS Glue **Rating:** 4.0/5.0 stars **Reviewed by:** Rupesh K. | DevOps Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** April 20, 2023 **What do you like best about AWS Glue?** AWS Glue is one of the best services offered by Amazon and it's very efficient in the data transfer between different data stores, and the exchange of data for analysis. I find AWS Glue very useful in data integration for the benefits it provides, such as: 1. Easy scalability for processing high amounts of data 2. A minimal and simple user interface for the customer experience. 3. As AWS Glue is serverless, it is highly cost-efficient, as we will be paying only for the resources we use. **What do you dislike about AWS Glue?** The following are some examples of what I like about AWS Glue: 1. The users have very limited control over the infrastructure, so it restricts them from doing customizations 2. Currently it only supports Python and Scala programming languages, so this can be highly improved. 3. Integrating AWS Glue with other services out of AWS would be a little challenging. **What problems is AWS Glue solving and how is that benefiting you?** I personally use AWS Glue to automate the data integration process, as usually it is a very time taking process to perform manually. With the data integration performed using AWS Glue, it becomes easier to take a decision as we will be having a complete view of the data. ### 48. I used aws glue to connect my db to mysql rds connection to upload and retrieve data **Rating:** 5.0/5.0 stars **Reviewed by:** Amir U. | Database Administrator, Enterprise (> 1000 emp.) **Reviewed Date:** April 28, 2023 **What do you like best about AWS Glue?** Being full managed ETL service and completely serverless architecture ,the data catalog feature to search data and vast resources of aws that can be used with glue makes it best. **What do you dislike about AWS Glue?** Limited control over architecture and very less documentation of usage. The customization is very less and it can have high cost. It needed to be trained perfectly. **What problems is AWS Glue solving and how is that benefiting you?** I need to move rds snapshot data from snapshot to s3 and glue helped me to solve the issue by automatically match data column to snapshot data which made easier data to move to s3 ### 49. Best tool for creating and scheduling etl jobs **Rating:** 4.5/5.0 stars **Reviewed by:** uday t. | Consultant (aws data platform), Mid-Market (51-1000 emp.) **Reviewed Date:** April 28, 2023 **What do you like best about AWS Glue?** We can use drag and drop method to create etl jobs and user friendly tool to create our own customised etl jobs and can be integrated with cloudwatch as well and dynamodb using exact pointers and values inside the code used glue **What do you dislike about AWS Glue?** Job run is bit slow We cannot select the large piece of code which is requied In previous version it was only on card view now it is in list view its better to implement only card view for better understanding **What problems is AWS Glue solving and how is that benefiting you?** Creating the etl jobs so that the data can be extracted transformed and loaded to the target db from the source db using glue job which is server less and by using glue crawlers ### 50. Amazing Learning **Rating:** 5.0/5.0 stars **Reviewed by:** Niraj R. | Senior Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** May 30, 2023 **What do you like best about AWS Glue?** I like its integration and ability to handle all data-related tasks. 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. **What do you dislike about AWS Glue?** limited to working within the AWS good environment and mostly work on python and Scala. Integration with other platforms might be difficult and large datasets makes its little bit slow and less amount of small datasets for practice **What problems is AWS Glue solving and how is that benefiting you?** Less hassle and very powerful environment. The cost efficiency and effective. makes it easy for analytics users to discover, prepare, move, and integrate data from multiple sources ## AWS Glue Discussions - [What is AWS Glue and how it works?](https://www.g2.com/discussions/what-is-aws-glue-and-how-it-works) - 1 comment - [What does AWS Glue do?](https://www.g2.com/discussions/what-does-aws-glue-do) - 2 comments - [What are the main components of AWS Glue?](https://www.g2.com/discussions/what-are-the-main-components-of-aws-glue) - 2 comments - [What are the features of glue?](https://www.g2.com/discussions/what-are-the-features-of-glue) - 1 comment - [View AWS Glue pricing details and edition comparison](https://www.g2.com/products/aws-glue/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-26+18%3A57%3A41+-0500&secure%5Bsession_id%5D=13ff631a-a406-4fd6-b05c-b0d340000b8a&secure%5Btoken%5D=1ce061628f4f29f09c2fec79b6330c27d8798fc0b9cb35d68c2fc2dc7c0d7120&format=llm_user) ## AWS Glue Integrations - [Amazon Athena](https://www.g2.com/products/amazon-athena/reviews) - [AWS Step Functions](https://www.g2.com/products/aws-step-functions/reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) ## AWS Glue Features **Data Governance** - User Access Management - Dynamic Data Masking - Data Lineage **Data Source Access** - Breadth of Data Sources - Ease of Data Connectivity - API Connectivity **Administration** - Database Management - Access Control - Data Security **Management** - Reporting - Auditing **Management** - Real-Time Analytics - Solution Integration - Infrastructure Compatibility - Monitoring **Agentic AI - AWS Marketplace** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration **Management** - Disaster Recovery - Remote Backup - Storage Formats - Scheduled Backups - On-Demand Restoration **Data Preparation** - Search - Data Quality and Cleansing - Data Transformation - Data Modeling **Data Interaction** - Profiling and Classification - Metadata Management - Data Modeling - Data Joining - Data Blending - Data Quality and Cleansing - Data Sharing - Data Governance **Federation** - Architecture - Provisioning - Orchestration - API / Integrations **Functionality** - Extraction - Transformation - Loading - Automation - Scalability **Solution Provision** - System Failover - Pay by Usage - Service Provision **Reporting** - Activity Monitoring - Documentation - Alerts/Notifications **Collaboration** - Commenting - Profiling and Classification - Business and Data Glossary - Metadata Management **Data Exporting** - Breadth of Integrations - Ease of Integrations - Data Workflows **Transformation** - Data Visualization - Application Performance - Data Modeling **Security** - Data Encryption - Security and Compliance - Deduplication **Generative AI** - AI Text Generation **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Machine Learning Data Catalog** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making ## Top AWS Glue Alternatives - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (821 reviews) - [Fivetran](https://www.g2.com/products/fivetran/reviews) - 4.3/5.0 (782 reviews) - [Hevo Data](https://www.g2.com/products/hevo-data/reviews) - 4.4/5.0 (278 reviews)