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.
I advocate using Glue in such cases.
SnapLogic is really helpful and processes in very little time, so it doesn't take much time compared to any legacy tool.
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 technical support from SnapLogic is excellent, and I would give it a complete ten.
Some SMEs are allotted for the organization, so in case of any issue, we have their email IDs to contact them for support, including SMEs and community.
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 rate the scalability of SnapLogic as eight out of ten.
AWS Glue is highly stable, and I would rate its stability as nine.
I would rate the stability of SnapLogic as nearly ten out of ten.
But recently, in a year, I haven't found many performance issues in SnapLogic.
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.
If the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial.
They can improve more visuals, with graphical representations, such as how many things can be added, how many users can be added or dropped, and how the back-end nodes can be graphically shown in a better way.
I tend to frequently communicate with SnapLogic to ask for additional features, and they have been responsive.
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.
There would be only one point of improvement if the price could be lower.
SnapLogic is positioned at around seven or eight out of ten in terms of pricing.
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 also like the whole child-parent pipeline feature; it allows me to break up a process into smaller pieces and then have one big pipeline that controls these smaller pipelines.
I find SnapLogic to be user-friendly, especially for beginners with limited experience in data engineering or ETL.
It's moving into AI, so we can create AI agents with LLM models. We can use most of the LLM such as Amazon Bedrock, OpenAI, Azure AI.
| Product | Market Share (%) |
|---|---|
| AWS Glue | 15.3% |
| SnapLogic | 3.8% |
| Other | 80.9% |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 6 |
| Large Enterprise | 32 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 5 |
| Large Enterprise | 10 |
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.
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.
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