The Oracle Cloud Platform is Oracle's platform-as-a-service (PaaS) offering. It is designed to help developers rapidly build and deploy applications or extend Oracle Cloud SaaS apps.
Apache Cassandra is a NoSQL database and well suited where you need highly available, linearly scalable, tunable consistency and high performance across varying workloads. It has worked well for our use cases, and I shared my experiences to use it effectively at the last Cassandra summit! http://bit.ly/1Ok56TK It is a NoSQL database, finally you can tune it to be strongly consistent and successfully use it as such. However those are not usual patterns, as you negotiate on latency. It works well if you require that. If your use case needs strongly consistent environments with semantics of a relational database or if the use case needs a data warehouse, or if you need NoSQL with ACID transactions, Apache Cassandra may not be the optimum choice.
We had been slowly implementing Oracle products to replace several existing systems and so we needed a platform that would work to integrate across all of these solutions. Our company is fairly large and we work with a variety of clients and vendors as well. We needed an easier way for everyone to access information and discuss what data and future integration were most appropriate.
Continuous availability: as a fully distributed database (no master nodes), we can update nodes with rolling restarts and accommodate minor outages without impacting our customer services.
Linear scalability: for every unit of compute that you add, you get an equivalent unit of capacity. The same application can scale from a single developer's laptop to a web-scale service with billions of rows in a table.
Amazing performance: if you design your data model correctly, bearing in mind the queries you need to answer, you can get answers in milliseconds.
Time-series data: Cassandra excels at recording, processing, and retrieving time-series data. It's a simple matter to version everything and simply record what happens, rather than going back and editing things. Then, you can compute things from the recorded history.
Cassandra runs on the JVM and therefor may require a lot of GC tuning for read/write intensive applications.
Requires manual periodic maintenance - for example it is recommended to run a cleanup on a regular basis.
There are a lot of knobs and buttons to configure the system. For many cases the default configuration will be sufficient, but if its not - you will need significant ramp up on the inner workings of Cassandra in order to effectively tune it.
Going with any Oracle Cloud Platform Solution for BI Implementation, I would prefer a strong/powerful Oracle tool to push data in Oracle Cloud Datawarehouse.
There are chances of overage charges on using the Oracle Cloud Platform, if you choose to implement any services with non-allocated core CPU. So expect to give some alert before even allowing to implement any service with not allocated core CPU or remove the displaying of non-allocated CPUs for users.
It can allow options where Oracle Cloud storage container username password as never expired.
I would recommend Cassandra DB to those who know their use case very well, as well as know how they are going to store and retrieve data. If you need a guarantee in data storage and retrieval, and a DB that can be linearly grown by adding nodes across availability zones and regions, then this is the database you should choose.
We evaluated MongoDB also, but don't like the single point failure possibility. The HBase coupled us too tightly to the Hadoop world while we prefer more technical flexibility. Also HBase is designed for "cold"/old historical data lake use cases and is not typically used for web and mobile applications due to its performance concern. Cassandra, by contrast, offers the availability and performance necessary for developing highly available applications. Furthermore, the Hadoop technology stack is typically deployed in a single location, while in the big international enterprise context, we demand the feasibility for deployment across countries and continents, hence finally we are favor of Cassandra
If you already have considerable Oracle licenses, then Oracle Cloud Platform is the best option. If most of your applications and needs are Windows-based, then Microsoft Azure is the best choice. Google GCP is on par with Oracle Cloud Platform in various features, including global reach. Cisco Hybrid Cloud Platform is an excellent choice if you have some interesting network requirements for the application to be deployed.
I have no experience with this but from the blogs and news what I believe is that in businesses where there is high demand for scalability, Cassandra is a good choice to go for.
Since it works on CQL, it is quite familiar with SQL in understanding therefore it does not prevent a new employee to start in learning and having the Cassandra experience at an industrial level.
I only used the trial version, but I liked the rich UI experience. It was easy to understand. I liked the fact that there are a lot of apps in the app store. A lot of brands use Oracle which leads to trust. It's also scalable.
As a consultant, this is something I can recommend to my customers over Amazon AWS Cloud because it has the built-in security that you don't have to buy separately.
Easy to integrate. My clients are looking for a one-stop ecosystem that can be used for everything including HR, Security, Analytics, Dashboards, and user experience. This saves me time as a consultant as well.
