Google Cloud BigQuery | Workflos AppStore

Google Cloud BigQuery

4.4

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BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly.

Website

https://cloud.google.com/

Developer

Google

HQ Location

Mountain View, CA

Year Founded

1998

Number of Employees

326,563

Twitter

@google

Strengths

Scalability

Ability to handle large amounts of data
Integration

Seamless integration with other Google Cloud services
Real-time analysis

Ability to analyze data in real-time

Weaknesses

Pricing

Can be expensive for small businesses
Complexity

Can be difficult to set up and use for non-technical users
Limited support

Limited support for non-Google Cloud platforms

Opportunities

Growing demand for big data analytics solutions
Potential for new features and integrations to be added
Opportunities for partnerships with other SaaS providers

Threats

Competition from other big data analytics providers
Increased scrutiny on data privacy and security
Potential for new regulations to impact the use of big data analytics

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Review Distribution

👍

High - rated users

BQ was incredibly easy to set up and get going. As a beginner, the public data sets available also make practice very easy. There are a great many other softwires available in the Google Cloud that connect directly to BQ, so the whole system is set up to expand its usefulness without needing to buy more software.I haven't run into anything about this software that I haven't liked so far. I have nothing negative to report.
🤔

Average - rated users

Our salesforce campaigns relies heavily on data warehouse, which is the backbone of everything we do. This data set contains both row data sets and BigQuery is used to aggregate this sets by running schedule queries on it.This platform requires strong SQL skills. Huge dependency on tech team to fix queries sometime.
👎

Low - rated users

BigQuery is highly scalable. Has great integration with GCP. BigQueryML brings much needed ML to your data without external tools. Handles very high volume of data. Pricing is pay as you go or fixed if usage is very high.It can be expensive if BigQuery is used frequently when not using fixed slots. UI has changed significantly, but it still feels a bit off at times. A heavy user of BigQuery will run into many quotas and limits sooner rather than later, and Quotas need to be increased. Some are fixed, and there are no workarounds.

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Google Cloud BigQuery Plan

Google Cloud BigQuery offers a pay-as-you-go pricing model with free and enterprise versions, charging for storage and data processing.

Free $ Free

New customers get $300 in free Google Cloud credits to spend on BigQuery with free trial sign-up. 10 GB storage Up to 1 TB queries

Standard $ 0

$0.04 - Per Slot Hour Low-cost option for standard SQL analysis Capped at 1,600 slots per reservation Max 5 reservations per admin 99.9% SLA Zonal High Availability Google Cloud Platform wide certifications (Foundational compliance). All Google Cloud Platform wide certifications including ISO 9001, ISO 27001, SOC 1 -3, PCI HIPAA compliance Google managed encryption keys Autoscaling slots Google managed encryption keys

Enterprise Plus $ 0

$0.10 - Per Slot Hour Supports mission-critical enterprise analytics Customer-managed encryption keys Support for FedRAMP, ITAR and other compliance regimes available through Assured Workloads Regional-level disaster recovery (roadmap functionality)