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Bigdata is a horizontally-scaled storage, open-source architecture for indexed data and computing fabric supporting optional transactions, very high concurrency and operates in both a single machine mode and a cluster mode. The bigdata architecture provides a high-performance platform for data-intensive distributed computing, indexing, and highlevel query on commodity clusters also run in a highperformance single-server mode. The big advantages of NewSQL databases are non-locking concurrency control mechanism, SQL, ACID support and provides shared-nothing architecture as well as capable of running on a large number of nodes without suffering bottlenecks. In recent trends New SQL comes into existence because of its better Performance and achieves scalability. In this research paper, we focuses on the Paradigm, Data model for Big Data, introduction to Batch layer, Serving layer, Speed layer, Data storage on the batch layer, Incremental batch processing. This paper also provides Lambda architecture in-depth, CouchDB architecture and defines how to handle big data through NewSQL Solutions (dbShards) as well as Future of NewSQL and Big Data processing.