Google BigQuery
Serverless, highly scalable, and cost-effective multi-cloud data warehouse.
Overview
Google BigQuery is a serverless, highly scalable, and cost-effective multi-cloud data warehouse designed for business agility. It allows you to run super-fast SQL queries on large datasets. As a fully-managed service, BigQuery handles all infrastructure behind the scenes, so data teams can focus on analysis.
āØ Key Features
- Serverless Architecture
- Real-time Analytics
- Built-in Machine Learning (BigQuery ML)
- Federated Queries
- Integration with Google Cloud Ecosystem
šÆ Key Differentiators
- Completely serverless architecture, requiring no infrastructure management.
- High-speed querying capabilities.
- Integrated machine learning and GIS features.
Unique Value: Provides a powerful, fully managed analytics data warehouse that enables super-fast SQL queries while handling the infrastructure for you.
šÆ Use Cases (5)
ā Best For
- Analyzing massive datasets from IoT devices in real-time.
- Creating a central data warehouse for all business data.
- Building and running machine learning models directly in the data warehouse using SQL.
š” Check With Vendor
Verify these considerations match your specific requirements:
- Small datasets that can be managed in a traditional database
- Transactional (OLTP) workloads
š Alternatives
The serverless model is a key differentiator from Snowflake and Redshift, which can simplify operations but may lead to less predictable costs for some workloads.
š» Platforms
š Integrations
š Support Options
- ā Email Support
- ā Live Chat
- ā Phone Support
- ā Dedicated Support (Varies by Google Cloud Support plan tier)
š Compliance & Security
š° Pricing
ā 90-day free trial
Free tier: 1 TB of querying per month and 10 GB of storage each month.
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