4 simple steps for migrating to
Google BigQuery with zero coding
Create connections
between data
sources and Google BigQuery
Prepare a source to the Google BigQuery pipeline by selecting tables in bulk
Assemble a workflow and schedule it to start the Google BigQuery migration process
Share your data
with third-party platforms
over API Hub
Simple and Intuitive
Switch to Google BigQuery like a boss
High-Speed Performance
Enjoy Google BigQuery high-speed performance with codeless data environment
Prebuilt Transformation
Say goodbye to tedious manual tasks with prebuilt transformation templates
Monitoring Data
Monitor your Google BigQuery data frequently
Integrate data from ERP, CRM, legacy databases, and other 300+ sources to Amazon RDS
Hear how Lyftrondata helped accelerate the data
journey of MOL Group
reporting
onboarded
reduction
sales
Lyftrondata enables instant analytics on WNI weather data that helped us streamline shipping lines. 
Koichi Tsuji
Consulting Partner at MOL Group
FAQs
What is Google BigQuery?
Google BigQuery Integration is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities.
What are the features of Google BigQuery?
What are Lyftrondata- Google BigQuery connectors?
Inappropriate for SMBs: Google BigQuery Integration is less appropriate to use in small businesses where data volume is low
Incapable IT resources: IT resources are not enough to maintain data quality with Google BigQuery Connectors tool.
Relational database issues: BigQuery ETL cannot be used to substitute a relational database.
Query running issues: Google BigQuery Driver is oriented on running analytical queries, not for simple CRUD operations and queries.
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