Smarter Cloud Data Warehousing Is Here
- By CDOTrends editors
- October 27, 2022
The data warehouse is a critical component of the modern enterprise, but it can be complex and time-consuming to manage. Automating cloud data warehousing can simplify and streamline the process, saving time and money.
It is why many are keenly watching Keebo’s fully automated Warehouse Optimization feature, a hosted capability that will allow data teams to significantly reduce the cost of their cloud warehousing — on average, by 30-60%, the company claimed. It frees data teams to focus on work with clear business value.
Warehouse Optimization makes it easier to manage data warehouses and reduces operating expenses (OpEx) associated with running them. Due to the complexity of modern data pipelines and the scarcity of data and cloud engineers, it has become tough for companies to operate and optimize cloud services. As a result, they spend significantly more on operating these services than they would if their performance were optimized from the start.
"Keebo has created the first fully-automated data learning platform on the planet that can optimize queries and reduce infrastructure costs overnight without the customer having to lift a finger," said Barzan Mozafari, founding chief executive officer at Keebo. "There aren't a lot of products out there where you can spend 30 minutes setting it up and then wake up the next day to see hundreds of thousands of dollars in net savings."
However, with Keebo's Automated Warehouse Optimization, data engineering and data analytics teams can divert their resources from manual optimizations to glean insight from their data and drive growth for their business. Warehouse Optimization will also free up significant engineering resources that would otherwise be spent on data ops and cloud infrastructure.
Data teams typically spend 30-40% of their time developing features that ensure their infrastructure cost and performance remain reasonable. Keebo's Warehouse Optimization allows users to do more with less: they can onboard more applications and data sources into their cloud data warehouse without worrying about exceeding their budget.
"The Keebo team is solving an incredibly hard technical problem while simultaneously addressing some of the biggest challenges for any company: cloud data cost savings and optimization," said Puneet Agarwal, partner at True Ventures.
Keebo has succeeded in increasing its revenue and growing organically with a short sales cycle and zero losses. The company currently works with a range of businesses, including Allbirds, TUI and Barstool Sports — to help them cut down on warehousing costs while they optimize their queries so the data ops and data engineering teams can focus on growing revenue.