Ingesting data from independent sources and partitioning data across database systems

Non-transitory computer readable storage medium storing instructions for execution by one or more processors, the instructions comprising:

• partitioning a cloud computing database into a plurality of data buckets, wherein the cloud computing database is a relational database, wherein each of the plurality of data buckets is dedicated to a project, wherein a first data bucket of the plurality of data buckets is dedicated to a first project, and wherein the first data bucket comprises one or more tables each storing data in a longitudinal format to track information over time;
• ingesting a first data entry from a first data source, wherein the first data entry is a user input;
• ingesting corroborating data from the first data source, wherein the corroborating data pertains to the first data entry, and wherein the corroborating data comprises two or more of a location of the first data source, an IP address for the first data source, session information associated with the first data entry, user-agent string information associated with the first data entry, or image metadata;
• verifying whether the first data source has permissions to write to the first data bucket;
• storing the first data entry in the first data bucket in response to determining the first data source has the permissions to write to the first data bucket;
• generating metadata for the first data entry, wherein the metadata comprises at least a portion of the corroborating data, a location of the first data entry on the cloud computing database, and read and write permissions for the first data entry;
• storing the metadata in a media table, wherein the media table comprises a polymorphic many-to-many table, and wherein the media table points to the first data entry stored in the first bucket;
• calculating a first confidence score indicating a predication for a correctness of the first data entry based on the corroborating data.