We tested the performance of Iceberg tables, external tables, and native tables on Snowflake.
In recent years, leading software companies have launched data sharing products that give customers direct access to the data they need.
How to look out for “future you” when order matters.
How and why we built schema evolution into the Prequel platform
How we built our improved cross-cloud data sharing authentication (with code examples).
Announcing our Seed round.
Prequel now supports role-based authentication (or "identity federation") for AWS or GCP destinations, including Redshift, Athena, S3, BigQuery, and Google Cloud Storage.
How we coerced Athena into constructing and exporting tables as rows of JSON objects
Prequel now supports connecting to external (customer) data sources to import data — for many SaaS products, this is a critical capability.
Embracing our SQL Maxi nature: how we ripped out RabbitMQ from our infrastructure and replaced it with a Postgres queue.
We're always adding new destinations, and this release includes a number of new object storage and database additions.
A short guide to setting up Snowflake Data Sharing.
A list of the top driver bugs and misbehaviors we encountered this year.
The three questions you really should ask yourself before you start building a new data product.
Last month, Salesforce announced a native integration with Snowflake. Why? And what does this mean for the rest of B2B SaaS?
Announcing our launch.
