Google BigQuery
Google BigQuery is a fully managed, serverless data warehouse that enables organizations to analyze petabytes of data using familiar SQL. Built on Google's Dremel technology and global infrastructure, BigQuery separates compute and storage to deliver fast, cost-effective analytics at any scale.
Why Google BigQuery?
- Serverless: No infrastructure management, automatic scaling to petabytes
- Fast: Sub-second queries on multi-terabyte datasets using Dremel engine
- Cost-effective: Pay only for data processed, no idle resource costs
- ML-ready: Built-in machine learning with BigQuery ML using SQL
- Global: Multi-region replication with 99.99% availability SLA
Best For
- Enterprise data warehousing and BI
- Real-time analytics and streaming
- Machine learning and AI workflows
- Log analytics and security monitoring
- Customer 360 and personalization
Consider Alternatives For
- High-frequency transactional processing
- Sub-millisecond query latency requirements
- Complex stored procedure workflows
- Small datasets (under 1GB)
- Traditional ETL-heavy architectures
Key Statistics
$5
Per TB Processed
6 hrs
Max Query Time
99.99%
Availability SLA
2000+
Concurrent Slots
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