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.
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.
This module inserts flow message data into Snowflake database row(s).
This module retrieves rows from a Snowflake database table and returns them as an array in a flow message.
This module executes a raw SQL statement.
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