AWS Glue vs SnapLogic comparison

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AWS Glue

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Executive SummaryUpdated on Dec 3, 2024

SnapLogic and AWS Glue compete in the data integration and ETL space. SnapLogic takes the upper hand in pricing and ease of use, while AWS Glue holds the advantage in integration and scalability within the AWS ecosystem.

Features: SnapLogic offers a visual drag-and-drop interface, an extensive library of connectors, and AI-enhanced low-code development for efficient pipeline design. AWS Glue provides a serverless architecture, data catalog capabilities, and deep integration with AWS services for expansive data processing.

Room for Improvement: SnapLogic could enhance its scalability options and expand the number of available prebuilt connectors. A more in-depth integration with other cloud ecosystems might also improve its offering. AWS Glue's interface could benefit from more intuitive design features, and its steep learning curve could be lessened with better onboarding options. Improvements in cost predictability would enhance user satisfaction.

Ease of Deployment and Customer Service: SnapLogic provides a straightforward cloud-based setup with responsive customer support, facilitating rapid deployment and adoption. AWS Glue's deployment can be complex due to deeper integration with AWS services, though it benefits from AWS's extensive customer service resources, requiring users to be familiar with the AWS environment.

Pricing and ROI: SnapLogic offers flexible pricing schemes suited for different business sizes, contributing to a quicker ROI through faster deployment. AWS Glue, while potentially costlier, justifies its price with a comprehensive set of features and scalability, often suited for businesses already embedded in the AWS ecosystem.

To learn more, read our detailed AWS Glue vs. SnapLogic Report (Updated: December 2024).

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AWS Glue vs. SnapLogic

December 2024

Helped 824,053 peers since 2012

Categories and Ranking

AWS Glue

Ranking in Cloud Data Integration

1st

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

SnapLogic

Ranking in Cloud Data Integration

14th

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Integration (25th), Process Automation (16th), Integration Platform as a Service (iPaaS) (10th)

Mindshare comparison

As of December 2024, in the Cloud Data Integration category, the mindshare of AWS Glue is 24.8%, up from 24.8% compared to the previous year. The mindshare of SnapLogic is 4.7%, up from 4.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration

Featured Reviews

Ajaykumar Myana

Senior Software Developer at a computer software company with 10,001+ employees

Provides serverless mechanism, easy data transformation and automated infrastructure management

We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure. This allowed us to focus on the code and application logic without concerns about scaling, CPU management, or handling fluctuations in flow. The serverless nature of Glue jobs relieved us from these infrastructure-related worries.

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Selva Dhoom

Technical Manager at a tech services company with 11-50 employees

Automates manual activities and has helpful documentation that allows users to self-study

What could be improved in SnapLogic is that it was not capable in terms of processing a large number of datasets, but at that point, SnapLogic was evolving. It didn't give a lot of Snaps. I heard recently there are a lot of Snaps getting added and the solution was being enhanced, particularly to connect different data sources. When I was working with SnapLogic six months to one year back, I faced the issue of it not being capable of handling a huge volume of datasets or didn't have much of Snaps, and that was the drawback. If there is any large number of data sets, that's based on or depends on your configuration. If it is a huge volume of data, other traditional ETL tools such as Informatica and Talend can process millions and billions of records, while in SnapLogic, the Snaplex fails or it returns an error in terms of processing that huge volume of data. Informatica, Talend, or any other ETL tool can run for hours in terms of jobs, while SnapLogic jobs fail when the threshold is reached. SnapLogic isn't able to withstand processing, but I don't know if that's still an issue at present, because the solution is getting enhanced and it's been more than six months to one year since I last worked with SnapLogic. There are now a lot of Snaps getting added to the solution, and if it can overcome the limitations I mentioned, SnapLogic could be the go-to tool because currently, it's not being used as much in organizations. It's being used comparatively less compared to other retail tools.

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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

"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."

"The solution integrates well with other AWS products or services."

"The solution's technical support is good. Whenever we raise a use case where we face an issue in our company, we get a response from the solution's technical team."

"The solution helps organizations gain flexibility in defining the structure of the data."

"I appreciate AWS Glue for its cost-effectiveness."

"The two features I find most valuable in AWS Glue are its user interface and ease of use."

"AWS Glue's best features are scalability and cloud-based features."

"One aspect that I would like to highlight is the Glue Crawler, which we utilize when working with large datasets to ensure the schema updates seamlessly without requiring end-team knowledge."

More AWS Glue pros

"What I found most valuable in SnapLogic is the ETL feature, particularly the Transform Snap Pack, for example, any kind of reading or writing on Transform Snaps. Other than that, all the third-party connectivity tools such as the SAP Snap Pack, Salesforce Snap Pack, Workday Snap Pack, even the ServiceNow Snap Pack, I find all those are pretty useful in SnapLogic."

"The initial setup is very straightforward."

"SnapLogic is an IPA tool that leverages a low code environment to connect to multiple sources, extract data, and store it in Azure data lake."

"SnapLogic is a great platform for establishing integrations among various systems or patterns by using any kind of interface. If something is not supported by predefined snaps – snaps are connectors in SnapLogic – you can create them (custom snaps) or write a script."

"It is a stable solution."

"SnapLogice is a low-code development tool."

"The product is easy to use and has many connectivity options."

"By using snaps instead of functions in code, you can see the building blocks of the integration visually. This helps a lot."

More SnapLogic pros

Cons

"The product is expensive for data streaming. This area needs improvement."

"The start-up time is really high right now. For instance, when you start up a new job, you have to wait for five or eight minutes before it starts. If the start-up time is reduced to one or two minutes, it will be great. It will be better to have a direct linkage to Redshift in AWS. If we can use data catalogs from Redshift, it will be so easy to create some data catalogs. Currently, we can only use data catalogs from S3."

"The price of the solution could improve."

"There is a learning curve to this tool."

"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."

"I would like to see a more robust interface on the no-code side. This would be nice to be able to split cells."

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

"It is not clear how the partition discovery would have been affected by more data coming in."

More AWS Glue cons

"SnapLogic should have some inbuilt protocol mechanism in order to speed up."

"The solution isn't ideal for complex processing or logic. We use another solution for that."

"One of the areas for improvement in SnapLogic is that the connectors for some of the applications should be more available in terms of testing in the dev environment. Another area for improvement is that the logging should be standardized, for example, the integration with an ELK stack should be required out-of-the-box, so you can ship the log and have it in the ELK stack. There should be integration with ELK stack for the log shipping."

"The biggest issue we have faced in our company with SnapLogic is regarding the EDI format"

"We'd like zero downtime in the future."

"What could be improved in SnapLogic is that it was not capable in terms of processing a large number of datasets, but at that point, SnapLogic was evolving. It didn't give a lot of Snaps. I heard recently there are a lot of Snaps getting added and the solution was being enhanced, particularly to connect different data sources. When I was working with SnapLogic six months to one year back, I faced the issue of it not being capable of handling a huge volume of datasets or didn't have much of Snaps, and that was the drawback. If there is any large number of data sets, that's based on or depends on your configuration. If it is a huge volume of data, other traditional ETL tools such as Informatica and Talend can process millions and billions of records, while in SnapLogic, the Snaplex fails or it returns an error in terms of processing that huge volume of data. Informatica, Talend, or any other ETL tool can run for hours in terms of jobs, while SnapLogic jobs fail when the threshold is reached. SnapLogic isn't able to withstand processing, but I don't know if that's still an issue at present, because the solution is getting enhanced and it's been more than six months to one year since I last worked with SnapLogic. There are now a lot of Snaps getting added to the solution, and if it can overcome the limitations I mentioned, SnapLogic could be the go-to tool because currently, it's not being used as much in organizations. It's being used comparatively less compared to other retail tools."

"There is room for improvement with APM management and how task execution looks."

"It needs some more snaps. I would like to see some of the features be changed in some of the snaps."

More SnapLogic cons

Pricing and Cost Advice

"The pricing is a bit higher than other solutions like Athena and EC2. If the pricing becomes more scaled or flexible, it will be good because you have to pay 44 cents just for one DPU for an hour. If you increase DPUs to 5 or 10, the pricing gets multiplied. There are also some time limits like 0 to 10 minutes or 10 to 20 minutes. If the pricing is according to the minutes, it would be better because you have to limit your job to 10 minutes or 20 minutes."

"I would rate the solution a six or seven on a scale of one to ten, with ten being very expensive. Specifically, I rate its pricing a six out of ten."

"I rate the tool an eight on a scale of one to ten, where one is expensive, and ten is expensive."

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

"AWS Glue is quite costly, especially for small organizations."

"Technical support is a paid service, and which subscription you have is dependent on that. You must pay one of them, and it ranges from $15,000 to $25,000 per year."

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

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

More AWS Glue pricing and cost advice

"The pricing is okay."

"I used the free trial."

"The cost with SnapLogic is an annual license and better than Informatica."

"It is a higher initial cost than other easy-to-use integration apps."

"SnapLogic's price is high compared to the other tools available in the market."

"They have pricing/usage tiers that are easy to move up or down."

"SnapLogic is not expensive. It's reasonably priced."

"The license model is based on consumption."

More SnapLogic pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Computer Software Company

13%

Manufacturing Company

Insurance Company

Financial Services Firm

25%

Manufacturing Company

11%

Computer Software Company

Real Estate/Law Firm

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.

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...

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...

What do you like most about SnapLogic?

Despite having no prior experience in SnapLogic, we managed to build, test, and prepare it for release in just three hours, handling heavy data efficiently.

What needs improvement with SnapLogic?

The biggest issue we have faced in our company with SnapLogic is regarding the EDI format. For instance, suppose if 20 EDIs are shortlisted then SnapLogic will convert and provide only those specif...

What is your primary use case for SnapLogic?

In our company, we used the solution to build a SnapLogic pipeline in a non-production environment. Presently, our company is releasing it to the production environment. We have used SnapLogic in o...

AWS Database Migration Service vs AWS Glue

Comparisons

Compared 35% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs AWS Glue

Compared 7% of the time

Informatica PowerCenter vs AWS Glue

Compared 6% of the time

SSIS vs AWS Glue

Compared 5% of the time

Oracle Integration Cloud Service vs AWS Glue

Compared 4% of the time

More AWS Glue Competitors

IBM InfoSphere DataStage vs SnapLogic

Compared 10% of the time

Azure Data Factory vs SnapLogic

Compared 9% of the time

Alteryx Designer vs SnapLogic

Compared 7% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SnapLogic

Compared 6% of the time

SSIS vs SnapLogic

Compared 5% of the time

More SnapLogic Competitors

Product Reports

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AWS Glue

December 2024

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November 2024

Also Known As

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DataFlow

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Amazon Web Services (AWS)

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.

The SnapLogic Intelligent Integration Platform uses AI-powered workflows to automate all stages of IT integration projects – design, development, deployment, and maintenance – whether on-premises, in the cloud, or in hybrid environments. The platform’s easy-to-use, self-service interface enables both expert and citizen integrators to manage all application integration, data integration, API management, B2B integration, and data engineering projects on a single, scalable platform. With SnapLogic, organizations can connect all of their enterprise systems quickly and easily to automate business processes, accelerate analytics, and drive transformation.

Sample Customers

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

Adobe, ADP, BlackBerry, Bonobos, Box, Capital One, Dannon, Eero, Endo, Gensler, HCL, HP, Grovo, HIS, iRobot, Leica, Merck, Sans, Target, Verizon, Vodafone, Yelp, Yahoo!