Google's BigQuery Analyzes Huge Datasets in Near Real Time
FREMONT, CA: Google has reduced the price of its cloud-based tool BigQuery by 85 percent, reports Frederic Lardinois of TechCrunch. With the reduction in price, Google has also added a new feature to the product. BigQuery analyzes large datasets and with its added new feature it is on the race of giving competition to the world’s largest online retailer of cloud-computing services, Amazon.
Developers soon will be able to ingest up to 100,000 rows of data per second to BigQuery and analyze massive data in near real time. This makes the product deliver a whole new range of service for big-data analytics to be processed and analyzed within minutes.
Google has recently presented a demo of its product at its Cloud Platform event to show how the large quantity of energy usage data can be analyzed from its customers in near real time. BigQuery can be used in many cases like handling marketing, financial data and logs and in other metering data.
Google argues that BigQuery is relatively affordable in this big-data analytics world. Its on-demand queries cost $5 per terabyte and a 5GB per second reserved query capacity starts at $20,000 per month which is 75 percent lower than other providers.
BigQuery previously used to ingest only up to 1,000 rows per second per table which was a limited streaming feature to compete with the Amazon Web Services and now it can handle large amount of workloads within a short time.