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What is BigQuery?

"BigQuery is a fully-managed enterprise data warehouse for analytics at any scale."

BigQuery is a Google Cloud Platform tool - a database-as-a-service (DBaaS) maintaining the querying and rapid analysis of enterprise-level big data. This is one of the best parallel solutions for Google Analytics, able to store terabytes of data.

This cloud data warehouse service is a solution for not only Google Analytics data management, but also for any other data that users need to store and analyze. BigQuery does not require a server or a database administrator, it is low-cost, and makes data analytics productive.

The key parts of this solution are the fast SQL-based queries, capacity scaling, integration with more existing ETL tools, logical data warehousing, automatic backup, and more. The service is free for up to 1TB of data analyzed each month and 10GB of data stored.

BigQuery scored 91/100 (Top 3 in Big Data) in the Big Data category. This is based on user satisfaction (89/100), press buzz (87/100), and other relevant information on BigQuery gathered from around the web.

The score for this software has improved over the past month. What is this?

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BigQuery Product Overview

  • Serverless

  • Real-Time Analytics

  • Automatic High Availability

  • Standard SQL

  • Federated Query and Logical Data Warehousing

  • Storage & Compute Separation

  • Automatic Backup & Easy Restore

  • Data Transfer Service

  • Big Data Ecosystem Integration

  • Petabyte Scale

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Big Data Software Buyer Guide 2019

Product recommendations, vendor rankings, market overview and tips on how to select Big Data software for business. Published in July 2019.

Big data is continuously gaining importance in the business world. Businesses today, regardless of their scale and industry, collect large volumes of data about key processes and stakeholders with the view to generating actionable insights. Big data solutio...


BigQuery Features

  • 2-Factor Authentication
  • A/B Testing
  • Analytics
  • API
  • Calendar Management
  • Contact Management
  • Conversion Tracking
  • Dashboard
  • Data Export
  • Data Import
  • Data Mining
  • Data Visualization
  • External Integrations
  • Forecasting
  • Keyword Tracking
  • Link Tracking
  • Multi-Site
  • Multi-User
  • Notifications
  • Referral Tracking
  • Scheduling
  • SEO
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BigQuery Pricing Plans


Per GB, Per Month
  • First 10 GB is free each month.

Long Term Storage

Per GB, Per Month
  • Price of storage drops by 50 percent to $0.01 per GB per month for inactive tables.
  • No degradation of performance, durability, availability, or any other functionality for long term storage tables.
  • $0.02 per GB per month for actively edited tables.

Streaming Inserts

Per GB
  • Loading data into BigQuery is free, except for a small charge for streamed data
  • Storage pricing is based on the amount of data stored in your tables.


Per TB
  • You aren't charged for queries that return an error, or for cached queries.
  • Charges are rounded to the nearest MB, with a minimum 10 MB data processed per table and per query.
  • Cancelling a running query job may incur charges.

Plans starting from: $0.02/month Credit card required: No

BigQuery FAQs

Does BigQuery offer guides, tutorials and or customer support?

Support: Knowledge Base, Tutorials, Training, Help Center, Email Support, Community.

What is BigQuery generally used for?

BigQuery is used as an enterprise analytics data warehouse.

Does BigQuery integrate with any other apps?

It integrates with Alooma, Blendo, Fivetran, Funnel, Atom Data, Informatica, Lytics, Matillion ETL, SAP, Segment, SnapLogic, Stitch, Striim, Switchboard, Skyvia, Talend, Treasure Data, Xplenty.

Who are the main user groups of BigQuery?

Main users of this service are data scientists and analysts in enterprises.

What are some applications BigQuery is commonly used in tandem with?

It is most commonly used in tandem with Google Analytics.

Does BigQuery offer an API?

Yes, it offers REST API.

What platforms does BigQuery support?

This is a web-based platform.

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