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Google Cloud Certified Professional Cloud Architect · Google Cloud
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Bigtable supports sub millisecond multiple concurrent writes and is able to scale for the load
Google Cloud Bigtable is well-suited for handling high-throughput, low-latency workloads like clickstream data. It is optimized for analytics on time-series and event data at scale, and it supports high write rates, with the capacity to handle thousands of writes per second. This makes it ideal for storing large volumes of clickstream data with bursts, ensuring data is available for analysis by data science and user experience teams.
1. High throughput for clickstream data: Bigtable is a NoSQL database designed for high write throughput, making it ideal for handling the continuous stream of click data with bursts up to 8,500 clicks per second. 2. Scalability: Bigtable is highly scalable, allowing you to handle increasing data volumes as your website portfolio grows. 3. Low latency: Bigtable provides low latency data access, which is important for real-time analysis and reporting on clickstream data. 4. Integration with BigQuery: Bigtable integrates well with BigQuery, enabling your data science team to perform complex analysis and generate insights from the clickstream data.