Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.
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SELECT actor, repository_language, COUNT(repository_language) as pushes
FROM [githubarchive:github.timeline]
WHERE type='PushEvent'
and repository_language == '' or repository_language == ''
and PARSE_UTC_USEC(created_at) >= PARSE_UTC_USEC('2012-01-01 00:00:00')
and PARSE_UTC_USEC(created_at) < PARSE_UTC_USEC('2013-01-01 00:00:00')
GROUP BY actor, repository_language
ORDER BY pushes DESC
LIMIT 1000
SELECT repository_url, MAX(repository_forks) as total_number_of_forks
FROM [githubarchive:github.timeline]
WHERE
PARSE_UTC_USEC(created_at) >= PARSE_UTC_USEC("-- 00:00:00") AND
PARSE_UTC_USEC(created_at) < PARSE_UTC_USEC("-- 00:00:00")
GROUP BY repository_url
ORDER BY total_number_of_forks DESC
LIMIT 10
SELECT repository_language, COUNT(*) AS cntlang
FROM [githubarchive:github.timeline]
WHERE repository_language != ''
AND payload_commit_msg != ''
AND PARSE_UTC_USEC(created_at) > PARSE_UTC_USEC('2014-03-09 00:00:00')
AND REGEXP_MATCH(payload_commit_msg,
r'(?i)\b()\b')
GROUP BY repository_language
ORDER BY cntlang DESC
All behind the scenesYour queries can execute asynchronously in the background, and can be polled for status. Access a history of your jobs and queries alongside the rest of your Cloud Platform resources in the Google Cloud Console.
Import data with easeBulk load your data using Google Cloud Storage or stream it in bursts of up to 1,000 rows per second. You can tackle real-time, high-volume logging or transaction recording and have your data available for analysis quickly and easily.
Affordable big dataWhen we say “Big Data”, we really mean it. The first 100 GB of data processed each month is free. We will store and query thousands of terabytes for you. Our pricing structure is simple and transparent, and we give you full visibility and control. You only pay for the storage you need and the queries you run.
The right interfaceSeparate interfaces for administration and developers will make sure that you have access to the tools you need. Control access at both the project and dataset level using the Google APIs Console. BigQuery helps teams of any size work the way they want to work.
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BigQuery uses a columnar data structure, which means that for a given query, you are only charged for data processed in each column, not the entire table. The first 100GB of data processed per month is at no charge.