Hadoop Vs Oracle

In this blog, we will discuss the differences and benefits of Hadoop and Oracle which is also known as Big Data.


Oracle is a database which is a collection of the data and treated as a single unit. The main purpose of the database is to retrieve related information.  Oracle is the first database designed for computing purpose which is cost-effective and the easiest way to manage the huge data.



Hadoop is an open-source software framework which is used for storing the data & running different applications on the clusters of commodity hardware. Hadoop is a collection of different open source software and runs as an HDFS (Hadoop Distributed File System – A distributed storage framework) and is used to manage a large number of data sets. Objective of Hadoop is to store, manage and deliver the data set for analytical purpose. Hadoop is not a database at its core, rather a powerful file system.

The 3 Vs and the Cloud

Hadoop has various perks over Oracle which are generally explained by 3 Vs. They are as follow:

Volume: Hadoop has distributed type MPP architecture which makes it perfect for large data volumes. Large number of terabyte data sets are automatically partitioned among many servers and processed out in parallel.

Variety: In the oracle, it is required to define the structure and type of the data you are loading but in hadoop, it is not necessary. Loading of the data is just like copying the data and can be of any format. This makes Hadoop easy to manage, storing and integrating data from the database is stress-free. You can extract XML documents or digital photos without any difficulty.

Velocity: Because of the MPP architecture & powerful memory tools like Spark, Kafka & Storm it becomes a perfect solution for dealing real or non-real-time steaming feeds that comes at a velocity. It simply means that it can be used to deliver analytics-based solutions. For instance, it can be used to tell some options to a customer using predictive analysis.

The invention of cloud computing technology has brought various advantages.


It is the ability to provide on-demand scalability with the help of cloud-based servers which deals with unpredictable workloads. It simply means that the whole network of the machines can be spin up at the time of large data processing challenges while keeping the hardware cost restrained by using pay as you go model. In some industries like financial services where data is highly sensitive, the cloud may be seen with suspicion, in that case, consider ” On-Premises Cloud” to secure your data.

Hence the first thing which is to be cleared out that Hadoop is not a database whereas Oracle is a database.

Hadoop is Cheaper than Oracle

If we compare the cost of the Hadoop and Oracle systems, Hadoop seems a little bit inexpensive. Inexpensive hardware also permits to host Hadoop system rather than going for the Oracle database. There is a scarcity of Hadoop skills which may increase the cost.

On any system storing of 168 Terabytes of data, taking account of license costs, personnel, support, hardware, and license costs is approx two hundred percent cheaper in comparison to Oracle, a study reveals. It does not mean that Oracle should not be used as it has its advantage.

It depends upon the application, cost, and network to choose Hadoop or Oracle.

Key Differences:

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