Customer Dashboards with Google BigQuery
Build customer analytics on top of Google BigQuery with Verb's no-code platform.
Data Pipeline Options For Google BigQuery
Bring Google BigQuery together with all of your data sources to build customer analytics with Verb's pre-built, no-code data pipeline.
BigQuery Data Ingestion Methods
Methods and intervals are set on the table level to allow for variable settings on different types of data.
Incremental Column
Full Sync
BigQuery Ingestion Interval Scheduling
Set the frequency of ingestion using a cron job structure on every table. Intervals can be set to as frequent as 1 minute on all incremental methods.
BigQuery Schema Evolution
As your BigQuery schema evolves Verb is schema aware and will sense and respond to the following changes.
Add or remove columns on synced tables
Column name changes
Data type changes
Add or remove tables
Securing and Segmenting BigQuery Data
Verb gives you the control to limit the data ingested and simple yet sophisticated row and column level security.
Customizable and Selective Ingestion
Table Customization
Column Selection
Row Filtering
Security and Data Segmentation
Row Level Security Rules
Write as simple or complex row level security rules to segment data in Verb with our no-code row level security configuration. Using data from your sources it’s easy to control things like tenant segmentation, customer segmentation, user segmentation, or organization segmentation.
Column Security Rules
Control how data is shown for your users at the field or column level. Verb makes it easy to hide, blank, and mask data.
Why BigQuery Users Choose Verb Data
Verb Data is a simple, powerful user-facing analytics platform built for SaaS companies. Verb ingests data from all of your data sources, like BigQuery and provides pipeline, data modeling, and customer outputs - like dashboards, reports, insights and REST APIs. With Verb, developers can build complete external data programs in just a few hours, not months.
