

SSIS and AWS Glue compete in the ETL (Extract, Transform, Load) software market. AWS Glue appears to have an edge due to its serverless architecture and scalability, especially for organizations heavily using AWS infrastructure.
Features: SSIS offers a drag-and-drop interface for building ETL solutions with minimal background knowledge. It integrates well with Microsoft products, supports complex transformations, and allows custom scripting. AWS Glue excels in its integration within the AWS ecosystem, offers a data catalog, automatic code generation, and seamless connectivity with AWS services, making it ideal for cloud-based processes.
Room for Improvement: SSIS faces challenges with error logging, lacks native version control, and experiences performance issues on large datasets. Users seek improved scalability and modern coding language support. AWS Glue could benefit from enhanced multi-language support, better monitoring, and a more user-friendly interface. It has limitations in cross-platform capabilities outside AWS and transformation options, with concerns about pricing for prolonged usage.
Ease of Deployment and Customer Service: SSIS is mainly deployed on-premises with integration in Microsoft environments but has decreased support as Microsoft shifts to cloud solutions. Customer service is mixed, with community forums being a vital resource. AWS Glue, being serverless, provides simpler cloud deployment appealing to AWS loyal customers, and its customer service is mostly well-regarded, although the setup can be initially complex.
Pricing and ROI: SSIS is often bundled with SQL Server, making it cost-effective for Microsoft users, with no additional licensing fees. AWS Glue uses a pay-as-you-go model, offering scalability but potentially higher costs with increased data processing needs. It's considered cost-effective for cloud-first strategies, but those with heavy data workloads might face increased expenses. Both tools deliver returns by improving data management processes, with financial benefits depending on existing technology investments and data processing needs.
I advocate using Glue in such cases.
The tool has made us tremendously more efficient and saved us a significant amount of money.
Using SSIS has proven cost-effective as there are no additional fees outside the SQL Server license, and it significantly enhances data management efficiency.
Upgrades occur every four months, and new developments coincide with version updates.
For complex Glue-related problems such as job failures or permission issues, their documentation is good, but having direct access to support helps cut down troubleshooting time significantly.
The first line of support needs to be more knowledgeable.
It is beneficial to upgrade jobs, and we conduct extensive testing in development before migrating to production.
It can easily handle data from one terabyte to 100 terabytes or more, scaling nicely with larger datasets.
I would rate the scalability of SSIS at a 7 because we are able to use various third-party items with it, allowing for functionality with a number of different things.
AWS Glue is highly stable, and I would rate its stability as nine.
It processes large volumes of data quickly.
Migrating jobs from version 3.0 to 4.0 can present compatibility issues.
With AWS, I gather data from multiple sources, clean it up, normalize it, de-duplicate it, and make it presentable.
A more user-friendly and simpler process would help speed up the deployment process.
Within the South African context, if you are getting your enterprise agreement from First Technology, they don't provide support.
SSIS has a difficult learning curve when dealing with complex transformations.
The logging capabilities could be improved, particularly for error logging.
Costing depends on resource usage, and cost optimization may involve redesigning jobs for flexibility.
AWS charges based on runtime, which can be quite pricey.
The smallest cost for a project is around €700, while the largest can reach up to €7,000 based on the scale of the usage.
Utilizing SSIS involves no extra charges beyond the SQL Server license.
It was included in our licensing for SQL server, and our licensing for SQL server was extremely cheap, making it a very good price point for us.
However, it could be a bit cheaper.
For ETL, I feel the performance is excellent. If I create jobs in a standard way, the performance is great, and maintenance is also seamless.
AWS Glue's most valuable features include its transformation capabilities, which provide data quality and shape for processing in ML or AI models.
AWS Glue has reduced efforts by 60%, which is the main benefit.
I would rate it at a 10 as it is highly reliable; we have never had any problems with it.
One of the best aspects of SSIS is that it is built into Microsoft SQL Server, so there are no additional costs involved.
SSAS is included in the base installation of SQL Server.

| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 6 |
| Large Enterprise | 32 |
| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 19 |
| Large Enterprise | 57 |
AWS Glue is a serverless data integration service offering seamless integration with AWS services like S3, Redshift, and Athena. Known for its flexibility with data formats and automation of ETL tasks, AWS Glue enhances data management and transformation.
AWS Glue facilitates seamless data extraction, transformation, and loading for businesses, integrating with key AWS services, allowing efficient data pipeline automation. It's valued for a user-friendly GUI, scalability, and cost-effectiveness, supporting PySpark for complex datasets and includes a robust data catalog, real-time backup capabilities, and code generation. Despite its strengths, improvements are needed in documentation, training, and broader programming language support. Users face challenges with its complex interface and integration with non-AWS products, driving demand for enhancements in its usability and performance.
What are AWS Glue's most important features?Businesses leverage AWS Glue in industries for ETL processes, data integration, and transformation. It is used to optimize data lakes or warehouses integration, enhancing data cataloging and real-time integration. Its serverless feature enables efficient data processing in sectors like finance and healthcare, where handling complex data-intensive tasks is crucial.
SSIS is a versatile tool for data integration tasks like ETL processes, data migration, and real-time data processing. Users appreciate its ease of use, data transformation tools, scheduling capabilities, and extensive connectivity options. It enhances productivity and efficiency within organizations by streamlining data-related processes and improving data quality and consistency.
We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.