Oracle Database, currently in edition 23ai, is a converged, multimodel database management system. It is designed to simplify development for AI, microservices, graph, document, spatial, and relational applications.
$0.05
per hour
Oracle NoSQL Database
Score 10.0 out of 10
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Oracle offers a NoSQL Database.
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Oracle Database
Oracle NoSQL Database
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Oracle Base Database Service - Standard
$0.0538
per hour
Oracle Base Database Service - Enterprise
$0.1075
per hour
Oracle Base Database Service - High Performance
$0.2218
per hour
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Chose Oracle Database
I have selected Oracle database from other databases as this database is relational database which stored the data in structural and tabular format which is better than any other databases which I have used in my carrier. Also MongoDB is no SQL database where we can use SQL …
Oracle Database is best in business, consistent, and robust. Even the standard version is sufficient for the best performance. The main thing is I have never seen corruption and in my opinion, it is best when used with Linux.
In my opinion, Oracle Database is highly reliable, has better performance with large databases and little to no maintenance once everything is setup. Also, recovery of the Oracle database is much simpler and easier.
Microsoft SQL is just as stable and almost as sellable with a much lower cost of ownership (staff and licensing). But as our primary application doesn't support Microsoft SQL we had to license Oracle.
Oracle Machine Learning is completely different when compared to HCM or Hyperion. I can say that the data collected from HCM or hyperion enterprise can be used on Oracle Machine Learning to perform an analysis to predict the future business.
Oracle Database is among the easiest to integrate with, program against, have a reliable cluster with DR, and has the most understood and well-documented databases. It suits really well if the software shop is primarily Java-based, and deals with large volumes of data with a …
Azure databases is another cloud database that I had used in some .net platform based projects. Both of the cloud database services are identical in nature of usage but very different in scope of usage. But this doesn't mean that the Oracle Database Cloud Service stacks up …
Most are complements to enhance the benefits of the Oracle database. I selected and evaluated Oracle databases because it is the most used suite in the organization and it is important for me to mention strengths and points to improve.
Oracle is more of an enterprise-level database than Access and SAP Adaptive Server Enterprise isn't getting developed much (some people wonder how close it is to end of life) but SQL Server is miles ahead of Oracle IMO in terms of user experience and comparable in terms of …
We use IBM DB2 in AS400 to handle part of our accounting system and our legacy ERP. We are migrating all functionalities to Oracle Database 12c because it is more secure and stable. We have some applications using SQL Server but we want to handle those systems in it because at …
We initially looked at Dynamics but would have to had to add on a 3rd party provider that would have had to customize a solution and at the end dynamics licensing would have been more in the long run.
Both have good functionality. Oracle Database runs better on the Oracle engineered systems and provides a better cost model on those servers. Has better security and a more enterprise ready solution.
Oracle provides better support compared to both DynamoDB and Redshift. It is definitely a way matured product and handles the scale preferably. However, DynamoDB's replication is very impressive and their cost benefits are something oracle should consider and reduce their …
Oracle Database has a better reputation in quality of the database compared to Amazon Aurora, SAP, Microsoft and IBM DB2. There are also better developer ecosystems available that can be used for issues and hiring DBAs and developers with the experience on Oracle Database. …
Oracle Database 12c is head and shoulders above SQL Server for what we need it to do, and the performance is much better. Oracle Database has been in place at our company for a while, and it was really a no brainer going to Oracle Database version 12c instead of another …
Oracle is in the leader of the pack. It has excellent user community and support is superb. It is widely used by 75% of organizations from small, medium, large to enterprise wide organizations.
I believe Oracle Database is still the best RDBMS database which is the database to consider for OLTP applications and for Adhoc requests. They are good in Datawarehousing in certain aspects but not the best. Oracle is also a great database for scaling up with their Clusterware solution which also makes the database highly available with services moving to the live instance without much trouble.
Oracle NoSQL Database is well-suited for you if your data formats are not consistent, if you have limited hardware resources, if you higher data throughput (whether the database is on the cloud or running locally), and if you don't need a declarative query language to maintain a standardized schema of your data. If you need reduced data redundancy and require ACID compliance, you are better off finding an SQL database solution.
Data-model flexibility. Unlike RDBMS solutions, Oracle NoSQL does not restrict you to a predefined set of data types.
Ability to Handle an Increased Amount of Traffic. As Oracle NoSQL can process queries much quicker than Oracle Database, Oracle NoSQL is able to respond to a lot more queries in the same amount of time.
Data-model simplicity. In SQL-oriented databases, there is a learning curve in learning the relationship between databases, tables, rows, and keys. On the other hand, Oracle NoSQL's key-value based storage is much easier to get the hang of.
New (actually it is more than five years old) multi-tenant architecture is not as straightforward as SQL Server, but it has been enhanced in Oracle 12c Release 2 and later 18c and 19c.
Many features require additional licensing (either as options or as packs) that increase the total cost
Fewer analytical functions to choose from. When compared to Oracle Database, there is significant difference in the amount of built-in analytical functions.
Eventual data consistency. It is not guaranteed that a write or delete query will be immediately visible for subsequent queries.
Data redundancy. As there are no mechanisms that insure data integrity, users are more likely to have redundant data across their documents.
It is very likely to use this 12c (or next version) of Oracle Database. Nothing close to it in the marketplace in terms of performance, reliability and overall database management efficiency. If Oracle did one thing really good - it is it's OLTP Database I must say.
Many of the powerful options can be auto-configured but there are still many things to take into account at the moment of installing and configuring an Oracle Database, compared with SQL Server or other databases. At the same time, that extra complexity allows for detailed configuration and guarantees performance, scalability, availability and security.
1. I have very good experience with Oracle Database support team. Oracle support team has pool of talented Oracle Analyst resources in different regions. To name a few regions - EMEA, Asia, USA(EST, MST, PST), Australia. Their support staffs are very supportive, well trained, and customer focused. Whenever I open Oracle Sev1 SR(service request), I always get prompt update on my case timely. 2. Oracle has zoom call and chat session option linked to Oracle SR. Whenever you are in Oracle portal - you can chat with the Oracle Analyst who is working on your case. You can request for Oracle zoom call thru which you can share the your problem server screen in no time. This is very nice as it saves lot of time and energy in case you have to follow up with oracle support for your case. 3.Oracle has excellent knowledge base in which all the customer databases critical problems and their solutions are well documented. It is very easy to follow without consulting to support team at first.
Overall the implementation went very well and after that everything came out as expected - in terms of performance and scalability. People should always install and upgrade a stable version for production with the latest patch set updates, test properly as much as possible, and should have a backup plan if anything unexpected happens
Oracle Database is among the easiest to integrate with, program against, have a reliable cluster with DR, and has the most understood and well-documented databases. It suits really well if the software shop is primarily Java-based, and deals with large volumes of data with a high degree of diversity among the applications by purpose and use. Paid support is recommended as well as planned periodic patching and upgrades.
We wasted lots of money (Oracle is crazy expensive), time and effort on the project and were highly relieved when we found a different approach to supporting our aging ERP app that did not include Oracle.
Because of the difficulty of using Oracle, we spent a lot of money on consultants to help us over the conversion hump. Also wasted. And it was interesting to see them struggle with the software. Upgrades never went well always requiring multiple site visits, for example.
We pay less for computing resources, as Oracle NoSQL databases respond quicker than our previous SQL databases.
Our database administrators and software developers do not need to worry about "data massaging" and can focus on perfecting application logic.
Oracle NoSQL has built-in integration to other Oracle products, so we didn't not need to spend money on building custom integrators or higher additional developers.
