Mulesoft, Inc.

Nilesh Khandelwal

Jiang Wu

Aditya Vailaya

A system is disclosed. The system includes a processor configured to: receive a set of data structured in a schemaless data representation; automatically translate the set of data into a relational representation by: translating an array map value in the set of data into an ordered multi-map; and converting the ordered multi-map to the relational representation. The processor is further configured to store the translated set of data in a key-value data store for a query-based retrieval.

Schemaless to relational representation conversion

A data object is received for storage in a key-value store. A partitioning token prefix is generated for the data object. A logical key for the data object is determined. A partitioning key is generated based at least in part on combining the partitioning token prefix and the logical key. Data associated with the data object is stored in the key-value store based on the partitioning key.

Balanced key range based retrieval of key-value database

A set of data is received that includes a plurality of event data objects or a plurality of meta data objects, wherein a structure of the set of data is a schemaless data representation. The set of data is automatically translated into a relational representation. The translated set of data is stored in a key-value data store for a query-based retrieval.

Growing community of inventors

Mountain View, CA, United States of America

Nilesh Khandelwal