Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.
The investment is good, which is why people choose this hardware.
This involved creating blueprints for integrating Oracle products into client systems, followed by technical presentations to Oracle teams and stakeholders.
Exadata comes with a platinum gateway and comprehensive support, which often gets immediate attention with severity one cases.
In the meantime, I found solutions independently and provided two solutions to my client.
I received great support in migrating data to Snowflake, with quick responses and innovative solutions.
The technical support from Snowflake is very good, nice, and efficient.
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.
Once installed, Exadata is very stable.
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.
Integration needs improvement.
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.
Cost reduction is one area I would like Snowflake to improve.
I would rate the price an eight on a scale from one to ten, indicating it is fairly expensive.
The certification cost for SAP BW4HANA in 2025 is expected to be one lakh forty thousand.
Snowflake lacks transparency in estimating resource usage.
Snowflake's pricing is on the higher side.
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.
The best features include the ability to create data sources directly on tables, and perform mapping without creating info objects.
Snowflake is a data lake on the cloud where all processing happens in memory, resulting in very fast query responses.
The scalability options it provides, addressing issues without tying workloads into one virtual machine, enhance functionality.
Product | Market Share (%) |
---|---|
Snowflake | 12.5% |
Oracle Exadata | 14.2% |
SAP BW4HANA | 3.9% |
Other | 69.4% |
Company Size | Count |
---|---|
Small Business | 47 |
Midsize Enterprise | 13 |
Large Enterprise | 86 |
Company Size | Count |
---|---|
Small Business | 16 |
Midsize Enterprise | 4 |
Large Enterprise | 27 |
Company Size | Count |
---|---|
Small Business | 28 |
Midsize Enterprise | 20 |
Large Enterprise | 56 |
Oracle Exadata allows enterprises to run any Oracle Database workload with the highest performance, scale, availability, and security on fully compatible cloud and on-premises infrastructure. Exadata uses a scale-out design with unique optimizations that include persistent memory, SQL query offload, and built-in resource management to optimize performance for OLTP, analytics, machine learning, and mixed workloads running in consolidated environments. By running hundreds or thousands of optimized Autonomous Database and Exadata Database instances on Exadata Cloud or Cloud@Customer infrastructure, customers are able to minimize their infrastructure, reduce management, improve developer productivity, and lower total costs by up to 40%, as described in Wikibon’s analysis (PDF).
The main benefit of Exadata is its speed. It hosts operating systems, CPU memory, and hard drives. It runs all types of databases, including online transaction systems, processors, and data warehouses, while remedying the poor performances of older databases.
Oracle Exadata features a simple and fast database storage system that protects and backs up your critical data. It accelerates data warehouse performance for faster access to business information and data. It is the ideal database solution for companies looking to build up their infrastructure from scratch.
Oracle Exadata Database Machine Key Benefits
Accelerate database processing: Exadata Storage Server implements a unique, highly efficient database-optimized storage infrastructure that enables Exadata’s unparalleled performance without any of the bottlenecks that traditional storage experiences. Each storage server contains CPU processors that are used to offload database processing. The CPUs in the storage servers do not replace database CPUs, but work alongside them to accelerate database workloads.
Reviews from Real Users
Oracle Exadata stands out among its competitors for a number of reasons. Two major ones are its robust performance and its wide variety of database features that make it a comprehensive database solution.
Adriano S., an IT system integrator at a financial services firm, writes, "Oracle Exadata's performance is one of its best features. We are very satisfied with it. The previous equipment used to make a payment for all the government employees used to take at least two days for some of the transactions. Now, it will take hours to make the same amount of payments. Another thing is the flexibility to organize all our databases. We can use it with new features that come with this version of Oracle 19c, which is the container database. With container databases, we can work with many databases, organized, and segregated, and still access the functions and management, the things that most of the technical people like to have in place."
Paulo X., a sales manager at LTA-RH Informatica, notes, "Regarding features, there are so many that we can offer to customers. When we sell Exadata Cloud, there are many options to choose from, especially when it comes to enterprise database options. In my experience, the main features that are appreciated are various ones like GPS and the assortment of security options."
SAP BW4HANA is a data warehouse solution developed by SAP for businesses looking to analyze big data in real time. It is designed to run on the SAP HANA database, offering improved performance and optimized processing of large data sets. SAP BW/4HANA provides an array of advanced analytics capabilities, including predictive analytics, text analytics, and spatial data processing. It also offers a modern, intuitive user interface and streamlined data modeling and administration tools, making it easier for businesses to access, manage, and utilize their data.
SAP BW4HANA Features
SAP BW4HANA has many valuable key features. Some of the most useful ones include:
SAP BW4HANA Benefits
There are many benefits to implementing SAP BW4HANA. Some of the biggest advantages the solution offers include:
Reviews from Real Users
SAP BW4HANA is a solution that stands out when compared to many of its competitors. Some of its major advantages are its hierarchical alert slicing, real-time insights, and its ability to transform large amounts of data.
PeerSpot reviewer, Srivatsav A., SAP BW/4HANA Specialist at a government, is very happy with the solution. He explains, "You can do hierarchical alert slicing and dicing out-of-box, which is not available in other solutions. I haven't come across that in Oracle or any other software provider."
“It has got wonderful features in terms of analyzing your production data, and it gives you real-time insight into productive maintenance. You can plan your budget, and you can map them against actuals. It gives you good insights on overall performance and processes,” says Amrit J., ERP Application Manager at an energy/utilities company.
In addition, a Technology Analyst at a tech services company mentions, "The most valuable feature is that we can transform a huge amount of data and apply business logic as per the requirements."
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?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.