Frequently Asked Questions
01. Getting Started
Hippobyte supports multiple warehouses including Azure Synapse, BigQuery, MySQL, Panoply, Periscope, PostgreSQL, Redshift, Snowflake and MySQL. Learn more about price, performance and features of five of the most popular data warehouses here.
Talk to your product specialist or submit a support ticket indicating the source you need and your request will get routed to the correct person. The more requests we get for a source, the higher we prioritize building the new connectors.
02. Data Synchronization
As frequently as every one minute when synchronizing data from certain connectors.
Yes, you can adjust the synchronization schedule to run as frequently as one minute and as infrequently as every 24 hours. Enterprise customers have access to a CRON-based scheduler allowing precise scheduling of data synchronization events.
Most application sources complete synchronization of historical data in less than 24 hours. The actual time to synchronize data sets is largely dependend on API rate and throughput limits.
03. Schema Management
The Hippobyte platform automatically handles new fields or tables added to your source and makes appropriate changes within your data warehouse without impacting existing data sets. We continuously monitor incoming data and make modifications when needed. Hippobyte is fully managed so you can focus on delivering analytics.
04. Security and Privacy
Country / Region | Platform |
---|---|
United States | AWS (Amazon Web Services) and GCP (Google Cloud Platform) |
Europe | GCP (Google Cloud Platform) |
North America | AWS (Amazon Web Services) |
South America | AWS (Amazon Web Services) |
Asia | AWS (Amazon Web Services) |
05. Troubleshooting
We recommend that you first check the Hippobyte event log for additional information. If you still do not see the data you need, please contact the Hippobyte support team.
06. Billing and Support
Hippobyte pricing is based on the number of data processed by our platform. You will be charged based on what you use, defined as the number of monthly data events (MDE). The number of MDE is variable based on the data sources you connect and your specific use cases. Please contact us to receive help with a quote.