Microsoft SQL Server Integration Services and AWS Glue are competitors in the ETL tools market. Both have distinct advantages, with SSIS benefiting users within the Microsoft ecosystem due to its integration capabilities, while AWS Glue stands out in cloud environments with its serverless architecture and ease of integration with AWS services.
Features: Microsoft SSIS features robust ETL capabilities that include sending emails, custom scripting, and processing SSAS tasks. Its integration within the Microsoft ecosystem enhances complex data transformations. AWS Glue offers flexibility with integration across AWS services, a comprehensive data catalog, and support for Jupyter Notebooks, benefiting users needing cloud-based ETL solutions.
Room for Improvement: SSIS can enhance error logging and integrate a built-in version control to eliminate dependency on additional tools. Additionally, component sharing across ETL streams in SSIS needs simplification. AWS Glue should focus on expanding its compatibility beyond AWS, enhance its support for diverse programming languages, and reduce service complexity and costs which might deter smaller enterprises.
Ease of Deployment and Customer Service: SSIS is largely an on-premises tool that suits enterprises within Microsoft ecosystems but faces challenges in cloud adaptation. AWS Glue excels in cloud deployments but is affected by potential areas of improvement in customer service, needing better responsiveness and technical guidance.
Pricing and ROI: SSIS is bundled with SQL Server licenses, offering cost-effectiveness for users within the Microsoft ecosystem. Contrastingly, AWS Glue's pay-as-you-go model, while flexible and transparent, can become costly for larger data processing requirements, impacting bigger enterprises' finances.
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.
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.
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 | 26 |
| Midsize Enterprise | 19 |
| Large Enterprise | 57 |
AWS Glue is a serverless cloud data integration tool that facilitates the discovery, preparation, movement, and integration of data from multiple sources for machine learning (ML), analytics, and application development. The solution includes additional productivity and data ops tooling for running jobs, implementing business workflows, and authoring.
AWS Glue allows users to connect to more than 70 diverse data sources and manage data in a centralized data catalog. The solution facilitates visual creation, running, and monitoring of extract, transform, and load (ETL) pipelines to load data into users' data lakes. This Amazon product seamlessly integrates with other native applications of the brand and allows users to search and query cataloged data using Amazon EMR, Amazon Athena, and Amazon Redshift Spectrum.
The solution also utilizes application programming interface (API) operations to transform users' data, create runtime logs, store job logic, and create notifications for monitoring job runs. The console of AWS Glue connects all of these services into a managed application, facilitating the monitoring and operational processes. The solution also performs provisioning and management of the resources required to run users' workloads in order to minimize manual work time for organizations.
AWS Glue Features
AWS Glue groups its features into four categories - discover, prepare, integrate, and transform. Within those groups are the following features:
AWS Glue Benefits
AWS Glue offers a wide range of benefits for its users. These benefits include:
Reviews from Real Users
Mustapha A., a cloud data engineer at Jems Groupe, likes AWS Glue because it is a product that is great for serverless data transformations.
Liana I., CEO at Quark Technologies SRL, describes AWS Glue as a highly scalable, reliable, and beneficial pay-as-you-go pricing model.
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.
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