CHOOSING AN EFFICIENT, AND COST-EFFECTIVE GEOSPATIAL DATA WAREHOUSE
Spatial science teams need a data warehousing option for their organisation that can support the sheer volume of geospatial data they have to process.
Thankfully, the market has a number of different Cloud data warehouse options for these teams to consider when it comes to storing and processing their geospatial data.
There are currently two major players in this space: Snowflake’s data warehouse and Google Cloud’s BigQuery.
We ran comparative testing on a BigQuery instance and Snowflake's extra small and large instances to see how they stacked up against each other in:
- Data Loading and Unloading
- Data Consistency
- Programmability and Integration
- Performance and Pricing
Download the full report for our detailed findings.