With the advent of Big Data and Cloud Computing era, the amount of data that users need to process is growing exponentially. Disk-based traditional data warehouses are often restrained by disk read and write speeds, which can lead to key pain points, such as limited data storage capacity, inexecutable queries, challenging scalability and unfriendly Cloud operating environments.

RapidsDB Cloud Data Warehouse is built on the new generation of in-memory database technology independently developed by RapidsDB team. It provides cloud-native data warehouse services to users with super-high performance, high scalability, heterogenous data querying capability across multiple data sources and easy-to-use simplicity, meeting data warehouse database requirements of various use cases in the era of big data and cloud computing.

Financial Inclusion of a Bank The original system uses international commercial database products + distributed search analysis engine, which has the following shortcomings:

1. Does not support fuzzy queries on text fields in large data tables
2. Does not support free combination query in more than 200 fields of customer label table
3. It is not compatible with standard SQL statements and does not support multi-table association queries, so the learning cost is high and the efficiency is low

RapidsDB brings to users

1. Low latency: five-table joint query analysis second-level response
2. Universal: Compatible with SQL statements, supports Asia Pacific character-set keywords in query
3. High concurrency: 800 concurrent queries respond in seconds, and performance increases linearly with cluster expansionWith the advent of Big Data and Cloud Computing era, the amount of data that users need to process is growing exponentially. Disk-based traditional data warehouses are often restrained by disk read and write speeds, which can lead to key pain points, such as limited data storage capacity, inexecutable queries, challenging scalability and unfriendly Cloud operating environments.