Different between big table and bigquery

Question

Accepted Answer

BigTable is a NoSQL database for real-time analytics, while BigQuery is a fully managed data warehouse for running SQL queries.

BigTable is a NoSQL database designed for real-time analytics and high-throughput applications.
BigQuery is a fully managed data warehouse that allows users to run SQL queries on large datasets.
BigTable is optimized for high-speed reads and writes, making it suitable for real-time data processing.
BigQuery is optimized for running complex SQL queries on large datasets, making it ideal for data analysis and reporting.
BigTable is used for storing structured data in a schema-less format, while BigQuery is used for querying and analyzing structured data.
BigTable is typically used for operational data storage, while BigQuery is used for analytical workloads.

Accepted Answer

BigQuery is a fully managed, serverless data warehouse that enables super-fast SQL queries using the processing power of Google's infrastructure. It's designed for analyzing large datasets. Bigtable, on the other hand, is a NoSQL big data database service designed for low-latency, large-scale applications and operational analytics.

Different between big table and bigquery

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