TechValidate Research on Google Cloud Data Analytics

These pages present data that TechValidate has sourced via direct research with verified customers and users of Google Cloud Data Analytics. TechValidate stands behind the authenticity of all published data. Learn more »

4 Published TechFacts

4 Published Charts

9 Published Case Studies

Selected Research Highlights

Google BigQuery Customer Research

By what percentage did your organization improve in the following with BigQuery?

100%+ 75-100% 50-75% 25-50% Up to 25%

Advanced analytics & ML
Streaming & Real-time insights
Increased agility & faster insights
Query data living in external data sources like sheets, Marketo, etc. for richer insights

Google BigQuery Case Study

Large Enterprise Media & Entertainment Company


A large enterprise media & entertainment company migrated off their Netezza and Azure SQL Data Warehouse systems to BigQuery. As a result, they improved agility and insights, democratized insights to more users, and better integrated with external data sources and tools.


The business challenges that led the profiled company to evaluate and ultimately select Google BigQuery:

  • Faced the following pain points prior to their BigQuery migration:
    • Long compute and storage capacity planning
    • A lack of advanced analytics like ML
    • A lack of real-time, streaming insights
  • Migrated off the following legacy systems to BigQuery:
    • Netezza
    • Azure SQL DW/Synapse
  • Evaluated the following data warehouse providers before adopting BigQuery:
    • Azure SQL Data Warehouse/Synapse
    • AWS Redshift

Use Case

The key features and functionalities of Google BigQuery that the surveyed company uses:

  • Used Accenture for implementing their BigQuery migration.


The surveyed company achieved the following results with Google BigQuery:

  • Business value achieved after migrating to BigQuery:
    • Improved agility & faster insights
    • Democratized insights to more users
    • Integrated with external data sources & tools

Google BigQuery Customer Research

How was your TCO affected by investing in BigQuery?

Reduced our TCO by 75-90%: 50%
Reduced our TCO by 25 - 50%: 25%
It did not affect our TCO: 25%

Google Cloud Case Study

Theta Labs


This case study of Theta Labs is based on an October 2020 survey of Google Cloud customers by TechValidate, a 3rd-party research service.

“Google Cloud offers us better scalability so we are no longer capped by the number of active streamers we can have on our platform. Google BigQuery empowers any SQL user to run queries and ask questions like ‘what’s the correlation between number of concurrent users and higher spender stream?’”


Theta Labs had to scale globally to meet user demand particularly in developing countries such as South East Asia, South America, and Eastern Europe.

  • The company experienced the following challenges with their previous solution:
    • Infrastructure scaling limitations to meet application demands
    • High costs
    • Required of too much of their team’s time to manage and maintain
  • Theta Labs evaluated the following vendors prior to selecting Google Cloud:
    • Microsoft
    • Amazon

Use Case

  • Theta Labs uses the following key Google Cloud products:
    • Google Kubernetes Engine
    • Google Compute Engine
    • Operations (formerly Stackdriver)
    • Google Cloud networking products
    • Google BigQuery
    • Pub/Sub
  • Why Theta Labs values Google Cloud when compared against competitive solutions:
    • Performance, scalability, and flexibility of implementation
    • Breadth of capabilities and support
    • Ability to ingest streaming data for real-time insights
  • The biggest reasons why Theta Labs chose Google over other vendors:
    • Relationship & communication with the Google account team
    • Expansive feature options
    • Price point compared to offered features/services


  • Theta Labs achieved the following results with Google Cloud:
    • Top-notch connectivity and collaboration for customers and/or employees
    • Reduced costs over time
  • Theta Labs experienced the following benefits:
    • Google Cloud offers better scalability so they are no longer capped by the number of active streamers they could have on their platform
    • Google BigQuery empowers any SQL user to run queries and ask questions like “what’s the correlation between number of concurrent users and higher spender stream?”
    • Google Cloud helps them to forecast how many concurrent users they need to support during livestream events and predict Multi-Variable Reputation Scores for their users to identify and also combat bad actors and bots
    • Google Cloud’s Pub/Sub helps them to ingest the viewership data into BigQuery for real-time insights and helps them build an end to end scalable ETL pipeline
  • The results:
    • Migrated to Google Cloud within 1-6 months.
    • Saw a return on their investment within 1-6 months after using Google Cloud.
  • Theta Labs rates Google Cloud on the following capabilities compared to other vendors/solutions:
    • Breadth of capabilities & integrations: Best in class
    • Ease of use for increased adoption: Superior
    • Dedicated & responsive customer support: Best in class
    • Value for price: Superior
    • Overall performance: Best in class

Google Cloud Customer Fact

Donde Search reduced IT maintenance following the deployment of Google Cloud.

Google Cloud Customer Fact

Donde Search reduced IT maintenance by up to 20% since using Google Cloud.

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