Twitter shifts offline analytics workloads to Google Cloud

The platform hopes to process trillions of data points to gain insights much quicker

Paper cut Twitter icon on wooden stick on blue sky background

Google Cloud Platform has signed a multi-year agreement with Twitter that will see the social media company shift its offline analytics, data processing and machine learning workloads to Google’s Data Cloud.

The deal means Twitter will be able to more quickly process trillions of data points generated by every tweet, retweet and like send on its platform to generate insights that, in turn, can be fed into improvements to the core product.

Twitter's data platform currently consumes hundreds of petabytes of data and runs tens of thousands of tasks over a dozen data clusters each day. It previously struck an agreement with Google Cloud Platform as part of its ‘Partly Cloudy’ strategy in 2018, when the firm moved its Hadoop clusters to Google’s infrastructure.

With this expanded partnership, Twitter will adopt a number of Google services including BigQuery, Dataflow, Cloud Bigtable and machine learning tools. Ultimately, it’ll allow the firm to expand its data ecosystem and generate insights much faster, as well as allowing for deeper machine learning-driven innovation.

"Our initial partnership with Google Cloud has been successful and enabled us to enhance the productivity of our engineering teams," said Twitter’s CTO Parag Agrawal. “Building on this relationship and Google's technologies will allow us to learn more from our data, move faster and serve more relevant content to the people who use our service every day. 

"As Twitter continues to scale, we're excited to partner with Google on more industry-leading technology innovation in the data and machine learning space.

Twitter is also hoping to ‘democratise’ data access by offering a range of data processing and machine learning tools to better understand and improve how Twitter features are used. Previously, engineers and data scientists developed large custom processing jobs, although these can now be queried faster using SQL in BigQuery. 

The partnership, generally, will make it easier for both technical and non-technical teams to study data generated from the usage of Twitter, and gain insights from these.

"Helping customers manage the entire continuum of data - from storage to analytics to AI - is one of our key differentiators at Google Cloud," said Google Cloud CEO, Thomas Kurian. 

"It's been phenomenal to watch this company grow over the years, and we're excited to partner with Twitter to innovate for the future and deliver the best experience possible for the people that use Twitter every day."

Featured Resources

Defeating ransomware with unified security from WatchGuard

How SMBs can defend against the onslaught of ransomware attacks

Free download

The IT expert’s guide to AI and content management

How artificial intelligence and machine learning could be critical to your business

Free download

The path to CX excellence

Four stages to thrive in the experience economy

Free download

Becoming an experience-based business

Your blueprint for a strong digital foundation

Free download

Recommended

Senator wants social media companies held liable for spreading anti-vax lies
social media

Senator wants social media companies held liable for spreading anti-vax lies

23 Jul 2021

Most Popular

What are the pros and cons of AI?
machine learning

What are the pros and cons of AI?

8 Sep 2021
Google takes down map showing homes of 111,000 Guntrader customers
data breaches

Google takes down map showing homes of 111,000 Guntrader customers

2 Sep 2021
Intuit plans end-to-end SMB platform after $12 billion Mailchimp acquisition
mergers and acquisitions

Intuit plans end-to-end SMB platform after $12 billion Mailchimp acquisition

14 Sep 2021