We designed to handle voluminous data that is multi-structured in real-time. It can be used to carry out different users. For instance and business users, data engineers use the framework to clean, analyze, and run queries on the platform to set patterns using machine learning algorithms.

With Finterlabs, the relevant information from data warehouse in terabytes, petabytes, and exabytes can be extracted and analyzed to transform the business decision for the future.

Currently, we have the technology-MapReduce, Hadoop, In-memory database, massive parallel processing database, database grids, and search-based functionality to process the large datasets which are mostly a combination of multi-structured and unstructured data for different users.