
dbt Labs
How dbt Labs benefits their customers
Customers evaluate the quality of dbt Labs’s products using the following success metrics.
dbt Labs’s Customers
See why customers chose dbt Labs's products and services. dbt Labs's customers include Wavicle Data Solutions, JetBlue, and Monzo.

Wavicle Data Solutions delivers custom data, analytics, and cloud solutions that help global enterprises across industries achieve business results.
Wavicle is thrilled to secure this important partnership with dbt Labs as we remain committed to providing our customers with the most robust data and analytics solutions possible...Through partnering with dbt, we can seamlessly integrate its platform into customer solutions designed to transform, test, and document data stored in the cloud.

JetBlue is New York's Hometown Airline, and a carrier in Boston, Fort Lauderdale-Hollywood, Los Angeles (Long Beach), Orlando, and San Juan.
Poor data uptime, unreliable dashboards, and antiquated pipelines. dbt Cloud helped them improve data SLAs from 2hrs to 5 mins, and increase data uptime (reliable dashboards) from 6% to 95%.

Monzo operates as a digital bank for users to track spending, split bills, send money and more using a mobile phone.
Monzo needed to build their "single customer view file" (all banks are required to be able to produce this file within 24 hours of a regulator’s request, and they needed to make sure it was accurate, and timely! But the benefits extended beyond this initial use case: dbt Cloud enabled them to migrate 100,000 lines of code using just 2 data engineers. They added 30+ analysts to development work to give engineers back more time for higher leverage work, and they saved £72,000 annually over their previous, less reliable methods.
Firefly Health provides a web portal and mobile application so patients can access care for most wellness, chronic, and urgent needs online or over th…
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dbt Labs’s Partnerships
12/16/2022
ThoughtSpot is a modern analytics cloud company that creates a fact-driven world with an easy-to-use analytics platform. Through its platform, users can leverage natural language search and AI to find data insights on Live Analytics. Companies can put modern data stacks in the hands of employees, extend the value of data to partners and customers, and automate entire business processes. With ThoughtSpot’s developer-friendly platform, ThoughtSpot Everywhere, customers can bring the Modern Analytics Cloud to their products and services. The company was founded in 2012 and is based in Mountain View, California. show less
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Compare dbt Labs to Competitors

Databricks provides a data platform that aims to simplify data integration and offers data analytic services. Databricks Lakehouse Platform serves corporations in various industries worldwide. It was founded in 2013 and is based in San Francisco, California.

Yellowbrick Data offers a modern data warehouse platform that breaks through the limitations of legacy and cloud-only alternatives. Based on a redesign of traditional analytic databases from the ground up, Yellowbrick Data Warehouse offers price/performance far beyond what alternatives can deliver, along with freedom to deploy in data centers/private clouds, public clouds, and both/hybrid.

Redis Labs is a private computer software company that provides a database management system marked as "NoSQL" as an open source software or as a service using cloud computing.

Crate.io is a scalable real-time database for the machine data era, such as information from the Internet of Things that stores massive amounts of data over the cloud and provides it via SQL connections.

Cloudera provides enterprise data management solutions that offer a unified platform for data, an enterprise data hub built on Apache Hadoop. It provides enterprises one place to store, process, and analyze all their data, empowering them to extend the value of existing investments while enabling fundamental new ways to derive value from their data.

Shakudo offers an end-to-end platform designed to help these teams turn their AI solutions into products more quickly. It does so by reducing their need for engineers, which are especially hard to come by these days.
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