Introduction
There are many areas where HBase is used. Certain features of HBase make it the best choice. In this article, we will discuss the features that make HBase so popular. We shall explore the areas where HBase is used and also see the use cases of HBase in leading tech companies. But before that, let's see what makes HBase so special.
- It is highly efficient when we want to store large amounts of data that are in the range of terabytes and petabytes. For smaller data sizes, we can use RDBMS.
- It is linearly scalable.
- It supports data replication and fault tolerance.
- One of the biggest benefits of HBase is that it allows random access to data.
- It can support both structured and semi-structured data.
But still, one question remains unanswered. When should we use HBase? We can use HBase in the following cases:
- If the volume of data is very high.
- In the case of variable schema.
- If features like transactions are not required.
Also see, Multiple Granularity in DBMS
Sectors where HBase is used
Healthcare
HBase can be used to store genome sequences as well as large data about any kind of research in the medical field. It can be used later for analytics purposes. HBase can be used to keep track of infections or infected people in some areas.
E-commerce
E-commerce is another popular area where HBase is heavily used. You must have seen advertisements of certain products which you might have searched earlier on any e-commerce site. These advertisements are often shown to you on some other platform. Here HBase can be used to store the search history of the person and then accordingly understand the demand of the customer, which can be used to target advertisements.
Sports
You might have often seen interesting stats in some cricket matches or any other sports. HBase finds an application here as well. It can be used to store huge amounts of data regarding the match history which can later be used in analytics and for predictions.
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