How to integrate Microsoft SQL Server in Google BigQuery

Learn how to integrate Microsoft SQL Server and Google BigQuery and instantly get access to your data.

WITH DATA VIRTUALITY PIPES
Replicate Microsoft SQL Server data into Google BigQuery and analyze it with your BI Tool.
How to integrate Microsoft SQL Server in Google BigQuery with Pipes


About Microsoft SQL Server

Microsoft SQL Server is a popular relational database management system. As a database server Microsoft SQL Server stores and retrieves data which may run either on another computer across a network or on the same computer, requested by other software applications.

About Google BigQuery

Google BigQuery is a fully managed, low cost enterprise data warehouse for analytics used by Fortune 500 companies as well as startups. While Google BigQuery works in conjunction with Google Storage for interactive analysis of massively large data sets it can scan TeraBytes in seconds and PetaBytes in minutes.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to Microsoft SQL Server, Google BigQuery and more than 200 other cloud services and databases. Automate your data workflows with data pipelines.

DATA VIRTUALITY OFFERS TWO PIPES SOLUTIONS

depending on your needs.

Pipes

Easy and reliable data replication in the cloud

Pipes enables you to move data from any data source to your target storage or data warehouse on schedule. Integrate your data with just a few clicks and without any coding.

Pipes Professional

Advanced data replication hosted in the cloud or on-premises

Pipes Professional enables you to transform and model your data with SQL before replication. Customize your data pipelines and build data models across sources in 80% less time.

Pipes Professional features include:

  • Cloud/On-Premises Hosting
  • Complex Data Transformations
  • Advanced Jobs & Schedules
  • Multiple Target Storages
  • Custom Extraction Definitions
  • Job Dependencies
  • SQL Modelling Layer
  • Complex Replication Types
  • Custom Job Triggers
Your future with automated data workflows is only a few clicks away.