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Dremio surely saves time, reduces costs, and all those things because we don't have to worry so much about the infrastructure to make the different tools communicate.
The investment is good, which is why people choose this hardware.
We have had to reach out for customer support many times, and they respond, so they are pretty supportive about some long-term issues.
If I were to rate their support from one to ten, I would say between nine to ten.
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.
Dremio's scalability can handle growing data and user demands easily.
Internally, if it's on Docker or Kubernetes, scalability will be built into the system.
Within a site, scalability is excellent.
I rate Dremio a nine in terms of stability.
Once installed, Exadata is very stable.
Starburst comes with around 50 connectors now.
I see that many times the new versions of Dremio have not fixed old bugs, and in some new versions, old problems that were previously fixed come back again, so I think the upgrade part could use improvement.
It should be easier to get Arctic or an open-source version of Arctic onto the software version so that development teams can experiment with it.
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.
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 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.
Having everything under one system and an easier-to-work-with interface, along with having API integrations, adds significant value to working with Dremio.
Dremio has positively impacted my organization as nowadays we are connected to multiple databases from multiple environments, multiple APIs, and applications, and Dremio organizes everything in an amazing way for me.
The first feature that stands out for me in Dremio is the federated type of query, which allows the possibility to use multiple endpoints without worrying about writing custom SQL that runs only for SQL Server or for Postgres and Redshift.
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.


| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 5 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 47 |
| Midsize Enterprise | 14 |
| Large Enterprise | 86 |
Dremio offers a comprehensive platform for data warehousing and data engineering, integrating seamlessly with data storage systems like Amazon S3 and Azure. Its main features include scalability, query federation, and data reflection.
Dremio's core strength lies in its ability to function as a robust data lake query engine and data warehousing solution. It facilitates the creation of complex queries with ease, thanks to its support for Apache Airflow and query federation across endpoints. Despite challenges with Delta connector support, complex query execution, and expensive licensing, users find it valuable for managing ad-hoc queries and financial data analytics. The platform aids in SQL table management and BI traffic visualization while reducing storage costs and resolving storage conflicts typical in traditional data warehouses.
What are Dremio's most valuable features?Dremio is primarily implemented in industries requiring extensive data engineering and analytics, including finance and technology. Companies use it for constructing data frameworks, efficiently processing financial analytics, and visualizing BI traffic. It acts as a viable alternative to AWS Glue and Apache Hive, integrating seamlessly with multiple databases, including Oracle and MySQL, offering robust solutions for data-driven strategies. Despite some challenges, its ability to reduce data storage costs and manage complex queries makes it a favorable choice among enterprise users.
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.
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