

Find out in this report how the two Database Management Systems (DBMS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
In some cases, they support me on a 24/7 basis, round the clock.
Oracle support can improve both response time and quality, including not only response time but also the turnaround time for issue fixing, understanding the issue, routing it to the correct team, and debugging for resolution.
Oracle's technical support is not very effective.
We sought this documentation multiple times but faced difficulty in obtaining it.
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 database regularly releases new versions with better performance and security features.
RAC is the feature where I can distribute the load among multiple nodes, and it has helped our enterprise applications.
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.
Oracle Database is very robust, and I rate its stability nine out of ten.
I would rate stability for Oracle Database as a 10.
It is a stable product.
Snowflake is highly stable and performs well even with large data sets exceeding terabytes, maintaining stability throughout.
Snowflake is very stable, especially when used with AWS.
Snowflake as a SaaS offering means that maintenance isn't an issue for me.
Oracle Database needs improvement in data analytics capabilities, AI involvement, machine learning, and deep learning.
One existing feature that distinguishes Oracle Database from others is its ability to log errors in the database itself.
It would be more feasible if Oracle allowed licensing on a socket-based model instead of cores.
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.
For medium businesses, Oracle and IBM DB2 pricing are quite similar.
Oracle Database is costly.
When it comes to cloud support, the setup cost is very cheap compared to other platforms, such as Oracle or PostgreSQL, which typically require higher costs.
Snowflake's pricing is on the higher side.
Snowflake lacks transparency in estimating resource usage.
Its data management capabilities include data quality, data integration, data architecture, modeling, and data security, which are very important for data-driven companies.
Regarding what I value about Oracle Database, as far as execution is concerned, I think it is one of the best databases I have come across.
The most valuable features in WebLogic Suite are its stability and security.
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 has contributed to significant cost savings.
| Product | Mindshare (%) |
|---|---|
| Oracle Database | 22.9% |
| Snowflake | 8.2% |
| Other | 68.9% |


| Company Size | Count |
|---|---|
| Small Business | 87 |
| Midsize Enterprise | 66 |
| Large Enterprise | 179 |
| Company Size | Count |
|---|---|
| Small Business | 30 |
| Midsize Enterprise | 20 |
| Large Enterprise | 61 |
Oracle Database is renowned for its reliability, scalability, and performance, delivering high availability and security. It integrates seamlessly with other systems, providing exceptional data protection and backup, suitable for managing multiple applications and supporting large datasets.
Oracle Database offers a powerful platform for managing data across industries such as finance, manufacturing, and agriculture. It is particularly beneficial for ERP systems, data warehouses, and transactional processing. Users can harness advanced security measures, automation, and integration capabilities, though high pricing and complex licensing can deter smaller enterprises. The database's flexible yet intricate setup process requires advanced skills, while limited integration with other databases and cloud platforms can be a drawback. User interface improvements, along with enhancements in query optimization and support services, are areas for potential development.
What are Oracle Database's key features?Industries like finance, manufacturing, and agriculture utilize Oracle Database for its ability to handle extensive transactions and data analyses. It's essential for ERP systems, supporting CRM, e-commerce, and healthcare applications with its robust infrastructure and disaster recovery options. Despite its challenges in pricing and complexity, it remains a top choice for organizations requiring reliable and high-performing databases.
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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