Oracle Autonomous Database Reviews

Oracle Autonomous Database supports and provides a great deal of data analytics features. It helps with simpler application development and provides fraud detection.

If you want DB as service, this is the best. It has better pricing with great performance due to its serverless mode, meaning no pay if no use. However if you don't need a large relational database or have a legacy DB application, another non-SQL DB might be a better option.

Oracle Autonomous Database is well-suited for large amounts of users.

No need for patching, no need for updates. It's always up-to-date. It saves a lot of money because there is no need to pay for database engineers and other clouds to support databases. It is easy to replicate and duplicate databases. We like it for provisioning new databases and replicating old databases. Would like to see more innovation in this field.

Autonomous Database gives us easy administration and great customization.

Oracle Autonomous Database is good when you need the database to tune itself, create resource plans and gives indexing recommendations. Storage management is also important aspect that Oracle Autonomous Database is providing. We used to have an error messages when one table space is full, or the users are disconnected from the system when the memory is full. I think that this database is appropriate and more features are very welcome.

Simplicity is missing big time.

Oracle is easy to use and not many resources are required. The base version is available free.

Perfect choice if growing or shrinking compute or memory resources are needed. Works well if high reliability and high availability are necessary to minimize planned or unplanned downtime which is often the case for enterprise type of products. For smaller projects, classic relational databases will be enough and will perform efficiently with a limited number of database administrators.

Online stability of our platforms and overall process speeds. We have been able to use Oracles solutions in a wide range of places and it has made a massively positive impact on our day to day usage. Along with that, the sheer speed we have on parsing our databases is immensely positive.

Best suited to high intensity applications with loads of data managed on the instance that will also be high risk transactional data. Suggest this is used to give banks the guarantee that the solution we provide hosted will hold the requirements for legal reasons. Less suited for low latency situations.

The database is very well suited for online transaction processing as well as offline batch processing. It may be less appropriate for large scale analytics when using the same data models used for OLTP.

Oracle is good OLTP and DSS, but this product needs to improve in the IN-Memory and NO SQL areas. They should make patching easy. With the current process, applying patches has been such that every time we apply a patch, we need to request a new patch for the current version, and then keep repeating this every time, and this needs to be improved. The patch utilities should have the ability to roll back the patches or skip the conflicts and continue forward without human intervention.

Oracle Autonomous Database is good for online transaction processing systems. It is well suited for mission-critical applications. Suited for applications where performance is most important. I like the many automated features like patching, backup, and optimization. I don't think it is well-suited for warehouses in the range of 25 Terabytes and up in size.

Oracle Autonomous Database is very well suited for online transaction processing but may be less appropriate for large scale enterprise analytics systems including unstructured data.

Oracle Autonomous Database is good if you to try out a solution that need short term resources like a new feature in database. It has new application functionality that can be used for short term before implementing into the solution provider site or in real time. The solution offers will are good when used.

When users have limited database knowledge, it is difficult to get started accessing the business data they need. For sensitive data filtering, Oracle Autonomous Database may need to have more skills on implementing the security data access. The company needs to have strict data access policy that limits the uses of the database access power for users.

Good for read heavy databases but not so perfect on OLTP databases where auto index creation can break app. Some mission critical apps are not the best use case.