Crunchy Data, a provider of trusted open source Postgres technology and products, is debuting Crunchy Bridge for Analytics to provide enhanced spatial data analytics capabilities, making it one of the easiest-to-use and most powerful platforms for working with geospatial data.
This release extends Crunchy Data's fully managed Postgres and PostGIS service, providing spatial data consumers with an optimized hybrid query engine and additional developer-friendly benefits.
The new hybrid engine brings together the rich capabilities of PostGIS with modern analytical query processing benefits such as vectorized execution and parallelism.
Crunchy Bridge for Analytics is optimized to use the most beneficial query engine available based on the user query and underlying data structure, giving users the best of Postgres and an embedded analytical query engine.
Further, by extending Postgres and PostGIS to natively query a variety of cloud-native spatial data formats directly from remote S3 storage or public web servers, users can efficiently access a variety of public spatial data sets, including Overture Maps data, all the while benefiting from lower cost storage options, according to the company.
"With Crunchy Bridge for Analytics we've seen customers address their OLAP-style workloads that were previously out of reach for Postgres, without the need to migrate their data to a separate data warehouse, reducing both cost and complexity," said Craig Kerstiens, Crunchy Data chief product officer. "Expanding Crunchy Bridge for Analytics spatial data support further extends Postgres as a data platform evolving it beyond simply a relational database."
Crunchy Bridge users can provision Crunchy Bridge for Analytics clusters directly from their existing Crunchy Bridge accounts.
For more information about this news, visit www.crunchybridge.com.