I think the solution is moving in the right direction because no architecture supports all sorts of processing. A lot of other portions are getting integrated as new needs come in. With integration, we are seeing improvements in the solution's performance. The application and the business unit demand more processing. Everyone does simple things, but you have to do better and faster processing to be on the niche end. Oracle Java DB requires maintenance. We conduct a security scan every month. If something is identified, we have to patch it because cybersecurity is critical. Since the initial setup becomes difficult when done manually, we try to automate it. We have a small team to maintain the solution. We are a consulting company that provides support. We ask for resources for a new setup and then automate it. So, it's a cyclic process. We are still learning and using general AI. However, generative AI is getting more attention. Java becomes important because some components will run very well from that side when we need that functionality. We haven't done too much. It's just more of being comfortable with it. We are pushing for it from the technologies, but the business needs to see a justification for that. So, it's a work in progress right now. I would recommend the solution to other users. However, I think everybody should understand what they need and compare tools because other tools might better serve their use case. Overall, I rate the solution an eight out of ten.
Senior Executive at a computer software company with 11-50 employees
Real User
2021-02-09T14:52:50Z
Feb 9, 2021
This is a fairly stable language, and it's been in the market for several years. In fact, it's been around since about 1995, when the concept of object orientation started. People should use it because it's clever. On a scale from one to ten, I would give Oracle Java DB a nine.
Team Lead at a tech services company with 501-1,000 employees
Real User
2020-04-16T08:44:00Z
Apr 16, 2020
I would rate it an eight out of ten. Not a ten because it's difficult to learn. It's easier for developers but as QA it's difficult to train and deliver. I'd prefer an automation tool that doesn't have as much coding.
IT Manager at a transportation company with 1,001-5,000 employees
Real User
2019-11-13T05:29:00Z
Nov 13, 2019
We use the on-premises deployment model. I'd rate the solution ten out of ten. When we're interacting with the solution, it's usually other third-party software solutions that interact with Oracle DB. As far as our interaction, it's quite limited. We don't do much unless it's real queries. We use SQL, we use Oracle. There isn't much that we would need from the solution. We're getting the job done at the end of the day.
Relational Databases Tools help organizations manage and analyze data efficiently. They offer robust data integration, integrity, and storage capabilities, making them essential for data-driven enterprises.
These tools provide structured data storage and retrieval, supporting large-scale transactional systems and analytics workloads. Businesses leverage them to handle complex queries, ensuring data consistency and security. With extensive support for SQL, they facilitate data...
I think the solution is moving in the right direction because no architecture supports all sorts of processing. A lot of other portions are getting integrated as new needs come in. With integration, we are seeing improvements in the solution's performance. The application and the business unit demand more processing. Everyone does simple things, but you have to do better and faster processing to be on the niche end. Oracle Java DB requires maintenance. We conduct a security scan every month. If something is identified, we have to patch it because cybersecurity is critical. Since the initial setup becomes difficult when done manually, we try to automate it. We have a small team to maintain the solution. We are a consulting company that provides support. We ask for resources for a new setup and then automate it. So, it's a cyclic process. We are still learning and using general AI. However, generative AI is getting more attention. Java becomes important because some components will run very well from that side when we need that functionality. We haven't done too much. It's just more of being comfortable with it. We are pushing for it from the technologies, but the business needs to see a justification for that. So, it's a work in progress right now. I would recommend the solution to other users. However, I think everybody should understand what they need and compare tools because other tools might better serve their use case. Overall, I rate the solution an eight out of ten.
I rate this solution a six out of ten. The solution is good, but it can be improved by making it user-friendly and improving its scalability.
I would always suggest going with this product if the add-ons available through Oracle are required. I would rate this solution as nine out of ten.
I rate Oracle Java DB a ten out of ten.
This is a fairly stable language, and it's been in the market for several years. In fact, it's been around since about 1995, when the concept of object orientation started. People should use it because it's clever. On a scale from one to ten, I would give Oracle Java DB a nine.
I would rate this solution a six out of ten.
I would rate it an eight out of ten. Not a ten because it's difficult to learn. It's easier for developers but as QA it's difficult to train and deliver. I'd prefer an automation tool that doesn't have as much coding.
We use the on-premises deployment model. I'd rate the solution ten out of ten. When we're interacting with the solution, it's usually other third-party software solutions that interact with Oracle DB. As far as our interaction, it's quite limited. We don't do much unless it's real queries. We use SQL, we use Oracle. There isn't much that we would need from the solution. We're getting the job done at the end of the day.