Oracle Exadata and Snowflake compete in the data warehousing and database solutions category. Exadata holds the advantage in high-performance environment needs due to its advanced hardware-software integration, while Snowflake leads in scalability and flexibility due to its cloud-native architecture.
Features: Exadata offers smart scan, flash cache, and Hybrid Columnar Compression for optimized read/write operations. It provides automatic tuning and high-speed InfiniBand connectivity, ideal for data warehousing and OLTP applications. Snowflake features include separate storage and compute architectures, multi-cluster warehousing, and versatility in handling semistructured data. Time Travel for data versioning and zero-copy cloning augment its SQL-based environment for adaptability in scaling.
Room for Improvement: Exadata can face challenges due to high costs and complex licensing, requiring enhanced support and insights for monitoring. It's less beneficial for smaller OLTP applications. Snowflake, although affordable, can enhance its user interface, geospatial query support, and integration with third-party tools. More predictive pricing models and built-in analytics features are also needed.
Ease of Deployment and Customer Service: Exadata's deployment is hardware-dependent with a significant planning investment, noted for its mixed customer service experiences. While it offers responsive support, complex issue resolution may be delayed. Snowflake, cloud-based, allows straightforward setup with less overhead and is generally praised for its customer service despite occasional challenges in pricing complexity and feature clarity.
Pricing and ROI: Exadata's comprehensive capabilities entail a costly pricing structure with licenses for integrated hardware and software, yielding significant ROI for large enterprises through efficiencies. Snowflake’s pay-as-you-go model offers cost predictability tied to actual usage, appealing for businesses seeking economical scaling without upfront investments. Each delivers strong ROI depending on specific needs and workloads.
The investment is good, which is why people choose this hardware.
If I were to rate their support from one to ten, I would say between nine to ten.
Exadata comes with a platinum gateway and comprehensive support, which often gets immediate attention with severity one cases.
This involved creating blueprints for integrating Oracle products into client systems, followed by technical presentations to Oracle teams and stakeholders.
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.
Within a site, scalability is excellent.
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.
Once installed, Exadata is very stable.
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.
I cannot create an extended rack cluster with one node on one site and another node on a different site.
There are minor areas where improvement is needed, such as making the user interface more user-friendly and enhancing configuration and customization options.
I believe that there is still room for improvement in Oracle Exadata, as they are putting AI features on those databases, which is making the database more user-friendly.
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.
I would rate the price an eight on a scale from one to ten, indicating it is fairly expensive.
I find its pricing reasonable and cost-effective for large organizations, but for smaller organizations, it may not be that useful.
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.
It also offers high backend speed between self-storage units and servers, which is beneficial for processing.
The most valuable features of Oracle Exadata are its high availability and cluster environment.
If a customer cannot tune their applications, this will help them to run the database and run the application without any tuning itself.
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 (%) |
|---|---|
| Snowflake | 9.3% |
| Oracle Exadata | 7.6% |
| Other | 83.1% |
| Company Size | Count |
|---|---|
| Small Business | 47 |
| Midsize Enterprise | 14 |
| Large Enterprise | 86 |
| Company Size | Count |
|---|---|
| Small Business | 30 |
| Midsize Enterprise | 20 |
| Large Enterprise | 60 |
Oracle Exadata is a robust platform engineered to enhance performance and scalability for OLTP and data warehousing by integrating hardware and software, allowing efficient handling of large data volumes with high availability.
Oracle Exadata offers significant performance improvements through features like Smart Flash Cache, Smart Scan, and Hybrid Columnar Compression. It supports large transactions and consolidates databases, making it ideal for complex data tasks. While pricing is a concern, and some areas such as maintenance and documentation require attention, its strength in scalability and performance makes it suitable for sectors demanding database reliability, such as finance and telecommunications.
What are the key features of Oracle Exadata?Oracle Exadata is implemented in industries requiring robust data management solutions. In finance and telecommunications, it enhances database stability and security, supports high-speed transaction processing, and facilitates data analytics within cloud-integrated environments, proving essential for large-scale operations.
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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