Best value, fast time to market.
August 20, 2024

Best value, fast time to market.

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Google BigQuery

In our company, we handle large customer bases for our partners, usually 2-3 million+ users. When a partner asks us how to analyze the customer data in their possession, the standard approach we suggest is using a combination of Looker and BigQuery, which, in our opinion, is the cheapest and fastest way to generate a CDP capable of handling millions of records quickly and reliably.

Pros

  • Data Ingestion.
  • Query Speed in large dataset.
  • Cost-Effectiveness.

Cons

  • Cost Unpredictability: like every cloud option, you must watch your costs.
  • The SQL model utilized is specific to analytics,
  • Transactional queries can be slow (don't use BigQuery as a regular database!)
  • The pricing model is highly competitive.
  • The free tier is enough for most medium businesses (and some large, too).
  • Time to market: easy to set up and integrate.
  • The cloud solution is highly scalable.
Google BigQuery's main advantage over its direct competitors (Amazon Redshift and Azure Synapse) is that it is widely supported by non-Google software, while the others rely heavily on their own cloud ecosystems.

Do you think Google BigQuery delivers good value for the price?

Yes

Are you happy with Google BigQuery's feature set?

Yes

Did Google BigQuery live up to sales and marketing promises?

Yes

Did implementation of Google BigQuery go as expected?

Yes

Would you buy Google BigQuery again?

Yes

Looker, Looker Studio, Google Compute Engine, Google Cloud Virtual Private Cloud (VPC), Google Analytics, OwnID, Sinch Mailgun, Sinch, Adobe Commerce (Magento Commerce), SAP Customer Data Solutions
BigQuery is perfect if you have to query/analyze big data sets, no matter their size. It's also perfect for generating POC or on-demand analytics due to its fast ingestion and reduced cost. However, don't use BigQuery as a standard database: updating small sets or, in general, running transactional queries is not efficient.

Google BigQuery Feature Ratings

Database-as-a-Service
9.0
Database scalability
10
Database security provisions
10
Monitoring and metrics
7

Comments

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