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Scalability
Ability to scale up or down as needed
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Reliability
Highly reliable infrastructure with 99.99% uptime
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Security
Advanced security features and compliance certifications
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Complexity
Can be complex to set up and manage
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Cost
Can be expensive for small businesses or startups
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Limited Support
Limited support options for some products
- Opportunities for AI and ML applications with Google's advanced tools
- Opportunities for hybrid cloud solutions with Google's Anthos platform
- Opportunities for industry-specific solutions with Google's Cloud Partner ecosystem
- Competition from other cloud providers like AWS and Microsoft Azure
- Growing concerns around data privacy and security
- Potential impact of regulatory changes on cloud services
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Review Distribution
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👍
High - rated users
Google Cloud Platform enables easy access to terabytes of data using tools such as BigQuery, Data Studio, and AppSheet. It is easy to learn and supported by extensive documentation. Pre-built machine learning models give analysts a head start on predicting future customer behavior. Connected Sheets allows analysis of millions of rows of data without knowing SQL.Google Cloud Platform is not efficient with non-Google analyst tools such as Excel or Word. BigQuery interface is not very intuitive and involves multiple layers of access. Data Studio lacks statistical or scientific analytical capabilities. AppSheet plug-in for GCP is costly for small businesses.
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🤔
Average - rated users
BigQuery is highly scalable, has great integration with GCP, and brings much-needed ML to your data without external tools. It handles a very high volume of data and pricing is pay as you go or fixed if usage is very high.BigQuery can be expensive if used frequently without fixed slots. The UI has changed significantly and can feel a bit off at times. Heavy users 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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👎
Low - rated users
BigQuery can be expensive if used frequently without fixed slots. The UI has changed significantly and can feel a bit off at times. Heavy users 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 Plan
