Snowflake Modules for simplifying Enterprise data Integration

Crosser is expanding its library of pre-built connectors for radically simplifying enterprise integration and streaming analytics.

The latest release is a set of Snowflake modules for simplifying SQL statements, inserting data in Snowflake data warehouses and reading data from Snowflake for streaming data processing.

About Snowflake

Snowflake is a data warehouse (DWH) platform that runs on AWS or Microsoft Azure cloud infrastructure. (This is also known as data warehouse as a service.)

Snowflake, unlike other warehouse solutions, utilizes an enhanced ANSI-compliant SQL engine designed exclusively for cloud use.

Snowflake's core architecture enables it to run on the public cloud, using virtual compute instances and efficient storage buckets, making it a highly scalable and cost-effective solution for processing massive amounts of big data.

Why Crosser and Snowflake?

Crosser radically simplifies intelligent integrations and streaming analytics for asset rich enterprises. The Crosser platform offers low-code development for data transformation, integration, analytics and machine learning - connecting various data sources like sensors, machines, systems and assets - with cloud and enterprise services like Snowflake.

The Crosser module library is constantly evolving. Helping global IT-teams to faster implement integrations and stream analytics for cloud, enterprise, site and edge use cases.

Crosser set of Snowflake modules

In the latest release of the Crosser Module Library, there were 3 new Snowflake modules.

Snowflake Insert

This module inserts flow message data into Snowflake database row(s).

Snowflake Select

This module retrieves rows from a Snowflake database table and returns them as an array in a flow message.

Snowflake Executer

This module executes a raw SQL statement.

Interested in simplifying integrations to Snowflake? Sign up for a Free trial or Schedule a Demo to learn more.