Oracle Big Data SQL allows integration of SQL capabilities with big data and cloud infrastructure, enhancing data processing and analysis across data sources.
| Product | Mindshare (%) |
|---|---|
| Oracle Big Data SQL | 1.2% |
| AWS Glue | 7.6% |
| Informatica Intelligent Data Management Cloud (IDMC) | 6.7% |
| Other | 84.5% |
Oracle Big Data SQL supports seamless querying of distributed data systems, providing a comprehensive platform for analyzing structured and unstructured data. Its architecture simplifies access to data stored in Hadoop and NoSQL databases, promoting efficient enterprise data management. Robust analytical capabilities enable users to derive maximum value from their diverse datasets while maintaining performance and security.
What are the key features of Oracle Big Data SQL?Oracle Big Data SQL plays an integral role in industries like finance and healthcare where data security and real-time analytics are crucial. In finance, it supports risk management and fraud detection by delivering quick access to massive datasets. The healthcare industry utilizes it for patient data analysis, which improves treatment accuracy and operational efficiency.
| Author info | Rating | Review Summary |
|---|---|---|
| General Manager at Quit cement | 5.0 | I primarily used Oracle Big Data SQL for data organization, benefiting from its user-friendly interface and smooth integration. Though its security is superior, pricing needs improvement. Compared to other solutions, Oracle is the best for my needs. |
| OBIEE/ODI senior consultant at Kastech | 3.5 | I use Oracle Big Data SQL for data analysis. It handles large, flexible datasets with very good performance and is highly scalable. I find it stable, but it needs more advanced features. I rate it 7/10. |
With Oracle Big Data SQL, I primarily managed data organization and structure. It helped streamline data within the system.
I integrated Oracle with other systems. I worked with Oracle integrations for various internal systems like our business suite, virtual assistant, and OpenMark, a Turkish general-purpose system.
We're planning to implement machine learning for data analysis in the future.
The user interface is really user-friendly and intuitive. It was a major plus.
The integration process was smooth. Oracle's security is good and significantly better than that of other solutions I've encountered.
Previously, we had separate data interfaces for 15 concrete mixing plants, requiring manual document creation in Oracle. Now, with integrated automation, production has become much easier and more efficient over the past three years.
There is room for improvement in the pricing.
I have been using it for a couple of years.
One of the most important and good things about Oracle is that it has good stability.
We haven't faced any scalability issues even after expanding our data storage.
I was able to handle all system-related issues myself.
In my experience, Oracle stands out the most. It is the best for me.
It is quite expensive.
Overall, I would rate the solution a ten out of ten.
We use the solution for analyzing our data.
This solution can maintain a large volume of data and is flexible to what data it can handle. The performance is very good.
The solution could improve by adding more advanced features.
I have been using Oracle Big Data SQL within the past 12 months.
Oracle Big Data SQL is stable.
The solution is highly scalable.
We have had a good experience with the technical support from Oracle.
This solution is very good and has high performance.
I rate Oracle Big Data SQL a seven out of ten.
