DoiT buys SELECT to boost Snowflake FinOps tooling

DoiT has acquired data optimisation company SELECT, adding Snowflake spend management tooling to its DoiT Cloud Intelligence platform.

DoiT said the deal sits within its previously announced USD $250 million AI investment strategy. The company has also acquired LiveDiagrams, PerfectScale and CloudWize as part of that programme.

DoiT positions its software around FinOps and CloudOps. The company said data platforms now account for a growing share of cloud budgets and that teams often lack the same level of governance and automation used for infrastructure costs.

Product integration

DoiT said it will integrate SELECT's technology into DoiT Cloud Intelligence under the name PerfectScale for Snowflake. The company said DoiT customers will get access through the existing platform.

The company described PerfectScale for Snowflake as a product that provides visibility into Snowflake usage. It also uses policy-driven automation that reduces waste. DoiT said this automation does not compromise performance or data quality.

SELECT focuses on optimisation within cloud data warehouse environments. DoiT said the platform detects inefficiencies such as misconfigured compute resources, inefficient queries and misaligned resource usage. The company said SELECT differs from reporting tools because it enforces optimisation policies in real time.

Customer continuity

DoiT said SELECT customers will see no change in contracts, pricing, support channels or product functionality. The SELECT team will continue to build and operate the platform, according to DoiT. The company said customers will gain access to broader DoiT integrations over time.

For DoiT customers, the acquisition extends its FinOps automation beyond infrastructure spending and into data platforms, DoiT said. The company described that shift as a move into the data layer of cloud operations.

DoiT said PerfectScale for Snowflake will sit alongside budgets, cost allocation, anomaly detection and automated workflows within DoiT Cloud Intelligence. The company also said customers will receive AI-assisted recommendations based on combined cloud and data telemetry.

Wider roadmap

The deal links SELECT with PerfectScale, another DoiT acquisition. DoiT said PerfectScale for Snowflake will become a core pillar of the platform and that the SELECT team will lead product development after joining DoiT.

DoiT said SELECT was founded by data engineers and built around ongoing optimisation rather than periodic reporting. The company said the product translates query and resource telemetry into business outcomes.

Organisations have adopted FinOps practices for cloud infrastructure spend across major cloud providers. DoiT said the equivalent controls for data platforms have lagged behind, even as data warehouse usage becomes more dynamic and billing models remain complex for many teams.

DoiT works across AWS, Google Cloud and Azure, according to the company. It said its platform connects cloud spend to workload goals and identifies sources of inefficiency.

Vadim Solovey, CEO, DoiT, described the gap the company sees in data platform governance and cost control.

"Data platforms have become a financial black box for many organizations," said Vadim Solovey, CEO, DoiT. "With SELECT, we are applying the same automation-first approach that transformed infrastructure FinOps to data platforms. PerfectScale for Snowflake gives customers consistent visibility, governance and optimization across their entire cloud estate, not just compute."

Ian Whitestone, CEO, SELECT, said the company will continue its work on data platform optimisation and expand coverage.

"From day one, our mission was to eliminate data platform waste without creating more work for engineering teams," said Ian Whitestone, CEO, SELECT. "Joining DoiT allows us to scale that mission globally while accelerating our roadmap to support additional data platforms, including environments like Databricks. Together, we are giving customers a single control plane to manage cost and performance across infrastructure and data."