# SELECT > SELECT is a data cloud cost observability and optimization platform that gives query-level cost attribution, automated savings, and governance across Snowflake, Databricks, and BigQuery. It continuously right-sizes virtual warehouses to cut compute costs 10-20% with no engineering effort, while giving data, platform, and FinOps teams a single pane of glass into exactly where every credit goes, down to the query, dbt model, Looker dashboard, or Airflow task. SELECT was acquired by DoiT in January 2026 and continues to operate as an independent product under its own brand and domain, while also being available inside DoiT's Cloud Intelligence™ platform as PerfectScale for Data Platforms. SELECT serves data engineering, platform engineering, and FinOps teams running Snowflake, Databricks, and BigQuery. Its core capabilities, Visibility, Insights, Automated Savings, Usage Groups, and Monitors, pair with out-of-the-box integrations across the data stack (dbt, Looker, Sigma, Airflow, and more) to eliminate wasted compute, catch cost anomalies before they become surprises, and give data teams and business stakeholders shared visibility into cost, usage, and performance across every workload. ## Company - [About SELECT](https://select.dev/about): Founders' story from Ian Whitestone and Niall Woodward (ex-Capital One and Shopify), company mission, and FAQ. - [Platform Overview](https://select.dev/): How Visibility, Insights, Automated Savings, Usage Groups, Monitors, and Integrations work together across Snowflake, Databricks, and BigQuery. - [Pricing](https://select.dev/pricing): Custom quote starting at $1,499/month; can be paid using pre-purchased Snowflake credits. - [Careers](https://select.dev/careers): Open roles on a fully remote, engineering-led team building data infrastructure tooling. - [Request a Demo](https://select.dev/demo): Book time with the SELECT team for an end-to-end product walkthrough. - [Start a Free Trial](https://select.dev/signup): Connect a Snowflake, Databricks, or BigQuery account and see savings potential in under 15 minutes. - [Changelog](https://select.dev/changelog): Latest platform releases, including SELECT for Databricks GA, SELECT for BigQuery private preview, PrivateLink support, and audit logs. - [Docs](https://select.dev/docs): Setup guides, feature reference, usage guide, integrations, and API reference. - [Contact Support](https://select.dev/contact-support): Get in touch with the SELECT support team. - [Status](https://status.select.dev/): Live platform status and incident history. ## Customer Stories - [Exiger](https://select.dev/customers/exiger): Drops Snowflake costs 40% in two weeks with automated cost savings at scale. - [Kargo](https://select.dev/customers/kargo): Identifies a $500K/year savings opportunity and delivers 5X ROI through granular, query-tag-level cost attribution. - [Synthesia](https://select.dev/customers/synthesia): Tames spiraling Snowflake costs with a 60% reduction as a fast-growing AI startup. - [Entain](https://select.dev/customers/entain): Achieves 35% Snowflake savings by giving teams better cost management tooling. - [Personio](https://select.dev/customers/personio): Drives cost awareness while scaling Snowflake usage across 280+ users. - [Loop Returns](https://select.dev/customers/loop-returns): Uses SELECT's observability to optimize Snowflake across thousands of embedded analytics users. - [HomeChef](https://select.dev/customers/homechef): Tames Snowflake costs proactively while raising cost awareness across its analytics team. - [ClickUp](https://select.dev/customers/clickup): Adopts a FinOps strategy for Snowflake before costs ballooned. - [All Customer Stories](https://select.dev/customers): Full index of SELECT customer success stories and measurable outcomes. ## Reviews & Recognition - [Customer Love](https://select.dev/reviews): Testimonials from data leaders at Gopuff, VideoAmp, Loop, Synthesia, ClickUp, Exiger, Entain, and more on cost savings, visibility, and product experience. - [Security at SELECT](https://select.dev/security): Security model, operations, and controls, including how SELECT accesses only the metadata customers explicitly share. ## Social & Developer - [LinkedIn](https://linkedin.com/company/get-select): Official SELECT company page. - [X (Twitter)](https://twitter.com/select_dev): Product updates and data cloud cost commentary. - [GitHub](https://github.com/get-select): Open-source dbt packages, including dbt_artifacts, dbt_snowflake_monitoring, and dbt_query_tags, maintained by SELECT co-founder and SQLFluff maintainer Niall Woodward. - [dbt-snowflake-monitoring](https://select.dev/docs/dbt-snowflake-monitoring): Open-source dbt package for Snowflake cost and usage monitoring. ## Parent Company - [DoiT](https://www.doit.com/): Cloud managed services and FinOps technology company that acquired SELECT in January 2026. SELECT continues to be offered as an independent product under its own brand and domain, with the SELECT team staying intact, while also being available inside DoiT's Cloud Intelligence™ platform. - [PerfectScale for Data Platforms](https://www.doit.com/products/perfectscale-for-data-platforms): SELECT's technology as packaged inside DoiT's Cloud Intelligence™ platform, delivering the same query-level visibility, insights, and automated warehouse rightsizing for Snowflake, Databricks, and BigQuery alongside DoiT's other FinOps and CloudOps products. ## Products & Use Cases - [Visibility](https://select.dev/features/cost-visibility): Single pane of glass into every workload, warehouse, and account, showing exactly where each credit is going. - [Insights](https://select.dev/features/insights): Intelligent insights engine that continuously analyzes accounts for optimization opportunities. - [Automated Savings](https://select.dev/features/automated-savings): Continuous, automatic adjustment of virtual warehouses to save 10-20% of compute spend. - [Usage Groups](https://select.dev/features/usage-groups): Flexible allocation of compute costs and query workloads to teams, projects, or departments, with budgets. - [Monitors](https://select.dev/features/monitors): Automated anomaly detection and alerting routed to a team's preferred destination. - [Integrations](https://select.dev/features/integrations): Out-of-the-box cost attribution across dbt, Looker, Sigma, Airflow, and the rest of the data stack. - [Snowflake](https://select.dev/snowflake): Query-level cost attribution and automated savings for Snowflake, SELECT's original and most mature platform. - Databricks: Generally available since June 2026, covering granular cost attribution, automated savings, optimization insights, budgets, and usage groups. - BigQuery: In private preview since July 2026, with cost visibility by project, user, job, and query plus reservation management. ## Guides - [Blog](https://select.dev/posts): Practitioner learnings on Snowflake, Databricks, and BigQuery cost optimization. - [Comparisons](https://select.dev/docs/resources/comparisons): How SELECT stacks up against homegrown monitoring, Snowflake's native cost features, Keebo, Capital One Slingshot, Chaos Genius, and espresso.ai. - [Snowflake Developer Guide](https://select.dev/docs/resources/snowflake-developer-guide): Reference resource for developers working in Snowflake. - [Automated Savings Estimate (Health Check App)](https://select.dev/docs/resources/health-check-app): Free tool to estimate potential Snowflake savings. - [Databricks Genie Pricing: What It Actually Costs to Run](https://select.dev/posts/databricks-genie-pricing-what-it-actually-costs-to-run): Breaks down Genie's two billing streams, LLM usage and triggered compute. - [Databricks Unity Catalog Explained](https://select.dev/posts/databricks-unity-catalog-explained-what-it-is-how-it-works-and-what-it-costs): How to structure catalogs and schemas, and the costs they quietly unlock. - [How to Reduce Databricks Costs Beyond the Easy Wins](https://select.dev/posts/how-to-reduce-databricks-costs-beyond-the-easy-wins): Optimization guidance with real numbers from production pipelines. - [Snowflake Summit 2026: What Actually Shipped, and What It Means](https://select.dev/posts/snowflake-summit-2026-what-actually-shipped-and-what-it-means): Recap of Coco, Cowork, Postgres mirroring, Iceberg v3, and adaptive compute. ## Product & Company Announcements - [SELECT is Joining DoiT](https://select.dev/posts/select-joins-doit): Announcement of the January 7, 2026 acquisition and what it means for customers going forward. - [SELECT for Databricks is Now Generally Available](https://select.dev/changelog/databricks-generally-available): Granular cost attribution, automated savings, optimization insights, budgets, and usage groups for Databricks. - [SELECT for BigQuery is Now in Private Preview](https://select.dev/changelog/bigquery-private-preview): Connect a BigQuery org in ~20 minutes for cost by project, user, job, and query, plus reservation management. - [PrivateLink for Azure and AWS](https://select.dev/changelog/privatelink-for-azure-aws): Connect Databricks or Snowflake to SELECT without touching the public internet. - [Query-Level Attribution for Data Transfer Costs](https://select.dev/changelog/query-level-attribution-for-data-transfer-costs): Data transfer spend now attributed per query across workload, user, and warehouse.