I would rate Oracle NoSQL six or 6.5 out of ten based on my experience. As for technical support, I would rate it seven out of ten. The overall product rating is 6.5 out of ten.
Database and Middleware Technical Head at Riyadh Municipality
Real User
Top 5
May 31, 2024
Currently, we haven't utilized Oracle NoSQL in any AI-driven projects. However, it is a part of our future plans to integrate it with data lakes or big data setups to leverage unstructured data for combined processing. I advise those considering Oracle NoSQL to ensure they have proper support, as it's crucial for resolving any issues. I recommend using Oracle NoSQL because it offers fast data retrieval for unstructured data, integration with other databases, and support. As for my overall rating for Oracle NoSQL, I would give it a ten out of ten.
Data Scientist at a financial services firm with 10,001+ employees
Real User
Top 10
Mar 22, 2024
If someone is working on a project that requires JSON, they might prefer using MongoDB. The choice depends on the project and the data we use. The product is good overall. There is an issue with installation, but the processing is fast, and we can update large amounts of data. If we need more analytics, we can choose MongoDB. Overall, I rate the product a seven out of ten.
OSS Automation and Orchestration Consultant at a comms service provider with 1,001-5,000 employees
Real User
Aug 27, 2020
The only advice I can give to anyone looking at NoSQL is just to focusing on the dimensioning before starting any project. I have had some experiences in over-dimensioning and under-dimensioning in some projects. Investing in the dimensioning with respect to performance is the key to success. On a scale of one to ten where one is the worst and ten is the best, I think Oracle NoSQL would be an eight. This is mostly because I think this Oracle is not a cheap product. I think that the licensing is expensive and this is means sometimes people will just try to avoid using Oracle based on cost alone. In other words, it is usually the financial rather than the mechanical restrictions that make a customer choose a different solution.
NoSQL Databases are essential for managing large volumes of unstructured data across distributed systems. They provide flexibility in data modeling and can handle varied data types efficiently, making them suitable for modern, data-driven applications.NoSQL Databases are designed to support massive scale-out architectures, allowing them to manage large datasets efficiently. They offer high availability and fault tolerance, essential for applications that require constant uptime. These...
I would rate Oracle NoSQL six or 6.5 out of ten based on my experience. As for technical support, I would rate it seven out of ten. The overall product rating is 6.5 out of ten.
Currently, we haven't utilized Oracle NoSQL in any AI-driven projects. However, it is a part of our future plans to integrate it with data lakes or big data setups to leverage unstructured data for combined processing. I advise those considering Oracle NoSQL to ensure they have proper support, as it's crucial for resolving any issues. I recommend using Oracle NoSQL because it offers fast data retrieval for unstructured data, integration with other databases, and support. As for my overall rating for Oracle NoSQL, I would give it a ten out of ten.
If someone is working on a project that requires JSON, they might prefer using MongoDB. The choice depends on the project and the data we use. The product is good overall. There is an issue with installation, but the processing is fast, and we can update large amounts of data. If we need more analytics, we can choose MongoDB. Overall, I rate the product a seven out of ten.
I rate Oracle NoSQL nine out of 10.
The only advice I can give to anyone looking at NoSQL is just to focusing on the dimensioning before starting any project. I have had some experiences in over-dimensioning and under-dimensioning in some projects. Investing in the dimensioning with respect to performance is the key to success. On a scale of one to ten where one is the worst and ten is the best, I think Oracle NoSQL would be an eight. This is mostly because I think this Oracle is not a cheap product. I think that the licensing is expensive and this is means sometimes people will just try to avoid using Oracle based on cost alone. In other words, it is usually the financial rather than the mechanical restrictions that make a customer choose a different solution.