A more robust platform for data access, integration and scale, while eliminating the costly, time-consuming process of building data connectors.
Rivery came with 150+ pre-built, ready-to-deploy data connectors. In a matter of clicks, Good Apple deployed the pre-built Twitter data connector and immediately started pulling data—and was able to manage multiple Twitter accounts for different clients simultaneously, without requiring new connectors for each account.
As an ETL platform, Twitter data was loaded into Rivery’s Snowflake faster than the previous ETL configuration. Rivery also ingested higher volumes of Twitter data compared to the cron jobs on a cloud storage data structure, and cloud storage data pipeline. The platform aggregated data from multiple sources, allowing Good Apple to mix-and-match Twitter data with other data streams.
Good Apple harnessed Rivery’s Logic Rivers to create its client-facing reporting views for Twitter. Logic Rivers automatically extracted and transformed client Twitter data. It was funneled directly into reporting tools—essentially automating the entire campaign reporting process into one continuous workflow.