Oracle Autonomous Data Warehouse and Snowflake Analytics are both competing in the data warehousing category, with Snowflake gaining an edge due to versatile features and adaptability, justified by its pricing. Snowflake offers strong ROI and innovation, while Oracle is praised for its competitive pricing and support.
Features: Oracle Autonomous Data Warehouse boasts automated management, scalability, and robust security features. Snowflake Analytics excels in seamless data-sharing, real-time data processing, and multi-cloud support, allowing for efficient handling of large data volumes and easy integration with various platforms.
Room for Improvement: Oracle could enhance its data-sharing capabilities, as well as improve cloud flexibility and user interface. Snowflake could work on reducing costs, offer better on-premises support, and refine security measures further to meet stringent compliance standards.
Ease of Deployment and Customer Service: Snowflake offers a cloud-native architecture for easy deployment, supporting rapid scaling and integration with numerous data sources, paired with responsive customer service. Oracle provides efficient deployment with robust automation tools, simplifying operational management, along with comprehensive support services.
Pricing and ROI: Oracle presents competitive pricing and favorable long-term ROI through efficient resource management. Snowflake, while more expensive, delivers strong ROI with innovation, supporting substantial data workloads, emphasizing the cost-effectiveness of their long-term gains over initial outlay.
| Product | Market Share (%) |
|---|---|
| Snowflake Analytics | 1.4% |
| Oracle Autonomous Data Warehouse | 5.5% |
| Other | 93.1% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 1 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 12 |
| Large Enterprise | 21 |
Oracle Autonomous Data Warehouse is the world’s first and only autonomous database optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can rapidly, easily, and cost-effectively discover business insights using data of any size and type. Built for the cloud and optimized using Oracle Exadata, Autonomous Data Warehouse benefits from faster performance and, according to an IDC report (PDF), lowers operational costs by an average of 63%.
Autonomous Database provides the foundation for a data lakehouse—a modern, open architecture that enables you to store, analyze, and understand all your data. The data lakehouse combines the power and richness of data warehouses with the breadth, flexibility, and low cost of popular open source data lake technologies. Access your data lakehouse through Autonomous Database using the world's most powerful and open SQL processing engine.
Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.
To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data. The result, A platform delivered as a service that’s powerful but simple to use.
Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.
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