Graph Gurus 52

Expand the Data Analytics Capabilities of Snowflake with TigerGraph

Recorded June 3, 2021

Snowflake is a leading cloud-native data warehousing solution. With its fully automated technology, Snowflake users are able to focus on getting the most impactful data insights to power business decisions. TigerGraph has been powering advanced analytics on connected data with its industry-leading Graph analytics platform. We are addressing the challenge of bringing these two powerful platforms closer with a new Snowflake connector.

Data in Snowflake can be exported to TigerGraph using an Apache Spark connector built to streamline transfers. Here are some features of our new connector:

  • Parallel loading for fast throughput
  • Works with TigerGraph's GSQL loading language
  • Works with TigerGraph 3.0+
  • Leverages customer’s existing Spark environment
  • Free and open-source

In this webinar, we will demo a Spark based Snowflake connector. Spark is one of the most popular data processing engines that has been adopted by most of the big data owners. With Spark as the center of the TigerGraph connector, connectors to different data platforms can be easily plugged in. 

Speakers:

Monil Shahi, Solution Architect/ Software Engineer, TigerGraph

Rayees Pasha, Product Management, TigerGraph