

Find out in this report how the two AI Software Development solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
A minimum of 50% time is saved when comparing manual to automation.
I appreciate the ease of using Postman, especially its desktop version, due to the features it offers such as cookie management and environment synchronization.
There is a lot of support available through forums and user groups, which has been sufficient for me.
I received great support in migrating data to Snowflake, with quick responses and innovative solutions.
I am satisfied with the work of technical support from Snowflake; they are responsive and helpful.
The technical support from Snowflake is very good, nice, and efficient.
Postman does not have database validation available, which affects its scalability.
This solution is scalable.
Snowflake is very scalable and has a dedicated team constantly improving the product.
The billing doubles with size increase, but processing does not necessarily speed up accordingly.
Recently, Snowflake has introduced streaming capabilities, real-time and dynamic tables, along with various connectors.
I rate it ten out of ten for stability.
I have not experienced any issues or downtimes.
During the development phase, you will face issues, but once it goes to production, you won't face such issues.
Snowflake is very stable, especially when used with AWS.
Snowflake as a SaaS offering means that maintenance isn't an issue for me.
One of the primary challenges with Postman is handling authentication issues, especially relating to tokens and passwords.
If they can enhance it to have a database kind of validation like we have in ReadyAPI, it would be better.
Maybe Postman can be a good contender and replicate some features such as more scripting and control over API calls.
Enhancements in user experience for data observability and quality checks would be beneficial, as these tasks currently require SQL coding, which might be challenging for some users.
What things you are going with to ask the support and how we manage the relationship matters a lot.
If more connectors were brought in and more visibility features were added, particularly around cost tracking in the FinOps area, it would be beneficial.
Postman's pricing model includes a basic free version, which is favorable given the Professional enterprise options offered.
Postman is open-source, so the cost is minimal compared to commercial platforms.
Postman is much cheaper than the other tools.
Snowflake's pricing is on the higher side.
Snowflake lacks transparency in estimating resource usage.
The desktop version's features like cookie management, environment compatibility, security settings, proxy integration, and data synchronization add significant value.
It's easy to navigate because tons of documentation and examples are available.
Postman's collaboration tools, such as version control and team workspaces, are particularly useful when working with teams of three to four people.
We had a comparison with Databricks and Snowflake a few months back, and this auto-scaling takes an edge within Snowflake; that's what our observation reflects.
I have used the Snowflake Zero-Copy Cloning feature in the past while prototyping data in lower environments. This feature is helpful as it saves a lot of time during the data replication process.
Snowflake is a data lake on the cloud where all processing happens in memory, resulting in very fast query responses.
| Product | Market Share (%) |
|---|---|
| Postman Enterprise | 0.4% |
| Snowflake | 0.4% |
| Other | 99.2% |

| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 9 |
| Large Enterprise | 41 |
| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 20 |
| Large Enterprise | 58 |
Postman Enterprise provides API testing capabilities with features like automation, integration, and shared environments, enhancing efficiency for REST and SOAP APIs. Teams benefit from its intuitive interface and support for automation and scripting.
Postman Enterprise is designed for API testing, supporting REST and SOAP APIs to enhance manual and automated testing. It offers endpoint validation, unit and integration testing, and data-driven testing. This platform is valued for its easy setup, flexibility in automation, and scripting, enabling collaborations through shared collections and generating reports. However, users find room for improvement in automation, integration with platforms, SOAP API testing, and collection management.
What are the key features of Postman Enterprise?In industries relying on API development, Postman Enterprise aids in creating robust testing environments. Whether technology, finance, or healthcare, teams leverage its data-driven testing capability and collaboration features for comprehensive and accurate testing outcomes.
Snowflake provides a modern data warehousing solution with features designed for seamless integration, scalability, and consumption-based pricing. It handles large datasets efficiently, making it a market leader for businesses migrating to the cloud.
Snowflake offers a flexible architecture that separates storage and compute resources, supporting efficient ETL jobs. Known for scalability and ease of use, it features built-in time zone conversion and robust data sharing capabilities. Its enhanced security, performance, and ability to handle semi-structured data are notable. Users suggest improvements in UI, pricing, on-premises integration, and data science functions, while calling for better transaction performance and machine learning capabilities. Users benefit from effective SQL querying, real-time analytics, and sharing options, supporting comprehensive data analysis with tools like Tableau and Power BI.
What are Snowflake's Key Features?
What Benefits Should You Look for?
In industries like finance, healthcare, and retail, Snowflake's flexible data warehousing and analytics capabilities facilitate cloud migration, streamline data storage, and allow organizations to consolidate data from multiple sources for advanced insights and AI-driven strategies. Its integration with analytics tools supports comprehensive data analysis and reporting tasks.
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