Triple Whale’s mission is to empower businesses with the tools they need to succeed in the world of ecommerce.
We help 10,000+ brands including True Classic, Milk Bar, and Obvi aggregate and analyze the right data to make the right decisions at the right time.
Our flexible, secure platform is your one-stop shop for marketing attribution, merchandising, forecasting, and more. Deep integrations within the Shopify ecosystem ensure maximum visibility and insight, building alignment on success metrics and growth targets across your entire organization.
Since starting in 2021, Triple Whale has been completely focused on democratizing data in the Shopify ecosystem; earlier this year, we raised $25M with strategic participation from Shopify to continue our mission.
As we continue to grow and evolve, our mission remains the same: to empower businesses with the tools they need to succeed in the world of ecommerce.
Based on our record, Google Cloud Dataproc seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 2 years ago
With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago
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