AWS Glue vs SSIS comparison

Amazon Web Services (AWS) and Microsoft are both solutions in the Cloud Data Integration category. Additionally, 89% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 79% of Microsoft users who would recommend it.

AWS Glue

Read 48 AWS Glue reviews

8,384 Views
6,222 Comparison Views

89% willing to recommend

SSIS

Read 72 SSIS reviews

13,122 Views
10,210 Comparison Views

79% willing to recommend

AWS Glue

SSIS

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Executive SummaryUpdated on Jan 12, 2025

SSIS and AWS Glue are both data integration tools competing in the ETL market. AWS Glue holds a notable advantage for cloud environments with its advanced cloud-native features.

Features: SSIS offers robust ETL capabilities and tight integration with Microsoft SQL Server environments, making it ideal for on-premises Microsoft ecosystems. It also features parallel processing and compatibility with the Microsoft BI stack, enabling comprehensive script options for customized tasks. AWS Glue stands out with serverless data preparation, flexible workload management, and deep integration with AWS services, enhancing its utility in cloud applications.

Room for Improvement: SSIS could improve in cloud integration and flexibility, as well as enhancing support for non-Microsoft environments. Additionally, providing more advanced automation features could broaden its appeal. AWS Glue could benefit from easier debugging processes and more intuitive user interfaces for users new to the cloud. Improvements in simplifying complex data transformations would also be advantageous.

Ease of Deployment and Customer Service: SSIS is recognized for its seamless on-premises deployment, especially when used with Microsoft tools, yet relies on self-service support. AWS Glue, conversely, offers a cloud-native, serverless model, reducing management overhead and providing strong customer support, which is highly regarded by users.

Pricing and ROI: SSIS requires significant upfront licensing costs, suitable for enterprises leveraging full Microsoft solutions, and provides a predictable ROI. AWS Glue utilizes a pay-as-you-go pricing model, favorable for businesses with fluctuating workloads, offering a flexible and scalable option that aligns well with cloud-based strategies.

To learn more, read our detailed AWS Glue vs. SSIS Report (Updated: January 2025).

Buyer's Guide

AWS Glue vs. SSIS

January 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

AWS Glue

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Integration (1st)

SSIS

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Integration (4th)

Featured Reviews

Muthuvel Sivaraman

AVP at a manufacturing company with 10,001+ employees

Handles a huge volume of data and is serverless, but it can be considered costly by some users

We use Amazon's services to provide technical support for the product. If you want to have support, Oracle and others offer a single support, and other tools have a direct support window. For Amazon, we need to pay 10 percent of my billing amount for the tool to get support services. Whether to raise a support ticket or not is an issue since ten percent is a huge amount. My company ends up using all the options without help from support. It is very difficult for any common man to understand why there is a need to pay ten percent for support. If I find an issue in the product, and I need to get support from AWS to fix it, then I need to pay ten percent of the tool's bill amount to Amazon. AWS is a very tricky tool because everything is evolving nowadays. AWS engineers are getting hired from other places, and even after that, if I am not getting any technical support, then things will be very nasty. There are some good engineers who help users outside the normal support cycle, but it doesn't meet their needs. I rate the technical support a four out of ten.

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BobAmy

Sr. Architect - Data warehousing & BI at Molina Healthcare, Inc.

Robust and does a good job of handling overload conditions

We purchase an add-on called task factory primarily to allow bulk delete, update, and upsert capability. I'd like to see this be part of the standard package. I believe there are ways to build a model and set variables so that it can be a generic process. In my next system, I would like to have a generic process that would handle all the logging and processing in a model that can be modified and enhanced as the need for a better process, or different statistics to be logged is discovered. I'd want this in a way that the model can be changed and all the processes, with their unique parameters, could all be changed with the model upgraded. I believe they should add some features that help to create the code using a model. This would allow for continuous improvement of the model uses and easy replication of all the different programs that use the model.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The most valuable features currently are glue studio, jobs, and triggers."

"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."

"It is a very scalable solution."

"The solution’s most valuable feature is the ETL job."

"One of the best features of the solution is its ability to easily integrate with other AWS services."

"We have found it beneficial when moving data from one source to another."

"AWS Glue is fast and managed by AWS. Hence, you don't have to worry about capacity and the performance of Glue jobs. It has integrations with other data stores of AWS. The product offers metadata management, logging, and ETL processing capabilities. It comes with a powerful feature, Glue Studio, which helps to do queries interactively within the community. It is a managed service and very secure. Another popular and mature service is S3."

"AWS Glue's most valuable features are the data catalog, including crawlers and tables, and Glue Studio, which means you don't have to use custom code."

More AWS Glue pros

"The simplicity of the solution is great. The solution also offers excellent integration."

"The most valuable feature of the solution is performance."

"It is easy to set up the product."

"With this solution, there is the potential to expand, so that you can immediately write code onto the SQL server."

"The most valuables features are the relatively short learning curve, and the automation capabilities provided through the BIML add-in for SSDT."

"Like most Microsoft products, SSIS is user-friendly and easy to use."

"The data reader is the most valuable feature."

"We like that this solution includes a developer edition, free of charge, to allow for training."

More SSIS pros

Cons

"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."

"Cost-wise, AWS Glue is expensive, so that's an area for improvement. The process for setting up the solution was also complex, which is another area for improvement."

"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."

"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."

"The solution's visual ETL tool is of no use for actual implementation."

"The setup and installation is a bit complex without advanced knowledge or training."

"The solution’s stability could be improved."

"AWS Glue should be more reliable and faster in processing. Enhancing the speed of data processing would be beneficial."

More AWS Glue cons

"Sometimes when we want to publish to other types of databases it's not easy to publish to those databases. For example, the Jet Database Engine. Before the SSIS supported Jet Database Engine but nowadays it doesn't support the Jet Database Engine. We connect to many databases such as Access database, SparkPros databases and the other types of databases using Jet Database Engines now and SSIS now doesn't seem to support it in our databases."

"We'd like more integration capabilities."

"The security could be improved, as it is more important in our context."

"Performance could be better."

"The performance of SSIS could improve when comparing it to Oracle Database."

"SSIS is stable, but extensive ETL data processing can have some performance issues."

"This solution needs full support for real-time processing."

"There are a lot of things that Microsoft could improve in relation to SSIS. One major problem we faced was when attempting to move some Excel files to our SQL Server. The Excel provider has a limitation that prevents importing more than 255 columns from a particular Excel file to the database. This restriction posed a significant issue for us."

More SSIS cons

Pricing and Cost Advice

"AWS Glue is a paid service that doesn't come under the free trial of AWS."

"The overall cost of AWS Glue could be better. It cost approximately $1,000 a month. There is paid support available from AWS Glue."

"If you are using the solution for an enterprise business, it will be expensive."

"The current cost is around forty to fifty thousand a month."

"I rate the product's pricing a five on a scale of one to ten, where one is a high price, and ten is a low price."

"AWS Glue uses a pay-as-you-go approach which is helpful. The price of the overall solution is low and is a great advantage."

"It is an expensive product. I rate its pricing a nine out of ten."

"AWS Glue is a high-priced solution that bills the client $150,000 to $250,000 annually."

More AWS Glue pricing and cost advice

"People have to opt for a perpetual-based licensing model."

"The solution comes free of cost."

"t's incredibly cost effective, easy to learn the basics quickly (although like all ETL tools requires the traditional learning curve to get good at) and has an immense user base."

"I'm not involved in licensing details, but SSIS provides value to our organization by simplifying data management tasks."

"The solution is available at a lesser price than that of Informatica."

"SSIS is a cheaper option compared to the cost of other ETL tools."

"Our license with SSIS is annual."

"SSIS is fairly well-priced - I would rate it at four out of five."

More SSIS pricing and cost advice

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Comparison Review

it_user90069

BI Expert at a healthcare company with 1,001-5,000 employees

Feb 20, 2014

Informatica PowerCenter vs. Microsoft SSIS - each technology has its advantages but also have similarities

Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

22%

Computer Software Company

13%

Manufacturing Company

Insurance Company

Financial Services Firm

18%

Computer Software Company

12%

Government

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

See all answers

How does Talend Open Studio compare with AWS Glue?

We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from Amazon Web Services. AWS Glue enables AWS users to create and manage jobs in...

See all answers

What are the most common use cases for AWS Glue?

AWS Glue's main use case is for allowing users to discover, prepare, move, and integrate data from multiple sources. The product lets you use this data for analytics, application development, or ma...

See all answers

Which is better - SSIS or Informatica PowerCenter?

SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called SSIS. The collection helps organizations boost productivity with code-free compo...

See all answers

What do you like most about SSIS?

The product's deployment phase is easy.

See all answers

What is your experience regarding pricing and costs for SSIS?

The solution comes free of cost.

See all answers

Comparisons

AWS Database Migration Service vs AWS Glue

Compared 36% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs AWS Glue

Compared 6% of the time

Informatica PowerCenter vs AWS Glue

Compared 4% of the time

SnapLogic vs AWS Glue

Compared 4% of the time

Oracle Integration Cloud Service vs AWS Glue

Compared 4% of the time

More AWS Glue Competitors

Informatica PowerCenter vs SSIS

Compared 21% of the time

Talend Open Studio vs SSIS

Compared 13% of the time

IBM InfoSphere DataStage vs SSIS

Compared 8% of the time

Oracle Data Integrator (ODI) vs SSIS

Compared 7% of the time

dbt vs SSIS

Compared 3% of the time

More SSIS Competitors

Product Reports

Buyer's Guide

AWS Glue

February 2025

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Buyer's Guide

SSIS

January 2025

Download SSIS product report

Also Known As

No data available

SQL Server Integration Services

Overview

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:

Automatic schema discovery: AWS Glue crawlers connect to the organization's source or target data source through a prioritized list of classifiers to determine the schema for users' data. This feature creates metadata in companies' AWS Glue Data Catalog.
Schemas for data stream management: The AWS Glue Schema Registry enables users to validate and control the evolution of streaming data through registered Apache Avro schemas for no additional charge.
Automatic scaling based on workload: This feature dynamically scales resources up and down based on workload. The feature controls job resources, removing them depending on how much the workload can be split up.
FindMatches: This feature is for machine learning-based data deduplication and cleansing, and works by finding records that are imperfect matches of each other to remove useless data copies.
Edit, debug, and test ETL code: This feature helps users who have chosen to interactively develop their ETL code by providing development endpoints for editing, debugging, and testing the code it generates for them.
AWS Glue DataBrew: An interactive, point-and-click visual interface for specialists to clean and normalize data without the need to write any code.
AWS Glue Interactive Sessions: This feature simplifies the development of data integration jobs by enabling data engineers to interactively prepare and explore data.
AWS Glue Studio Job Notebooks: This AWS Glue feature provides serverless notebooks with minimal setup, allowing developers to start working in a timely manner.
Complex ETL pipeline building: This feature allows the product to be invoked on a schedule, on demand, or based on an event, allowing users to start multiple jobs in parallel or specify dependencies to build complex ETL pipelines.
AWS Glue Studio: This AWS Glue feature allows users to visually transform data through a drag-and-drop interface. The product automatically generates the code for ETL processes for users' data.

AWS Glue Benefits

AWS Glue offers a wide range of benefits for its users. These benefits include:

Users of other AWS products can easily onboard with AWS Glue, as it is integrated across a wide range of the company's services.
The solution is serverless, which allows for a lower total cost of ownership.
AWS Glue offers more power for users, as it automates much of the effort in building, maintaining, and running ETL jobs.
The product allows customers to easily discover and search across all their AWS datasets through AWS Glue Data Catalog.
AWS Glue does not require additional payment for managing and enforcing schemas for data streams.
The solution facilitates the authority of scalable ETL jobs for beginners and non-coding experts through a drag-and-drop interface.

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.

Amazon Web Services (AWS)

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.

Microsoft

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

1. Amazon.com 2. Bank of America 3. Capital One 4. Coca-Cola 5. Dell 6. E*TRADE 7. FedEx 8. Ford Motor Company 9. Google 10. Home Depot 11. IBM 12. Intel 13. JPMorgan Chase 14. Kraft Foods 15. Lockheed Martin 16. McDonald's 17. Microsoft 18. Morgan Stanley 19. Nike 20. Oracle 21. PepsiCo 22. Procter & Gamble 23. Prudential Financial 24. RBC Capital Markets 25. SAP 26. Siemens 27. Sony 28. Toyota 29. UnitedHealth Group 30. Visa 31. Walmart 32. Wells Fargo

Buyer's Guide

AWS Glue vs. SSIS

January 2025

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