Databricks and dbt Labs
Analytics engineering on the lakehouse made simple
Turn raw data into insights in the most efficient, cost-effective way by enabling technical and nontechnical teams to collaborate on the lakehouse.
"Our Evergreen platform, built on dbt and Databricks Lakehouse, lets our teams around the world work from the same data sets. That translates to higher productivity and greater trust in our data as we work to become a global enterprise."
— Nana Essuman, Senior Director of Data Engineering and Data Warehouse, Condé Nast
"Zurich's data consumers are now able to deliver data science and AI use cases including pretrained LLM models, scoring and recommendations for its global teams. Unity Catalog simplifies access management and provides collaborative data exploration with a company-wide view of data that is shared across the organization without any replication."
— Jose Luis Sanchez Ros, Head of Data Solution Architecture, Zurich Insurance Company Ltd.
"Moving off our legacy architecture and onto Databricks Lakehouse Platform helped us streamline our workflows and reduce costs. With Databricks and dbt, we're confident about rolling out the powerful new features our customers have been waiting for."
— Omer Kolodny, Data Engineer Team Lead, Kaltura
"The synergy between Databricks and dbt allowed us to make a huge technological leap that proved our scalability: Our data engineers now build frameworks, not ELT pipelines."
— Anton Peniaziev, Data Engineer and Tech Lead, Explorium
"With Databricks, Fivetran and dbt, we can use data and AI in ways that help us reach the right customers with our clients' marketing campaigns. That means we can deliver better results for their investment."
— Brandon Beidel, Director of Product Management, Red Ventures
Collaborate on data effectively across your organization
Enable all your data teams to make faster decisions. Data engineers, data scientists, analysts and analytics engineers can easily work together to build data pipelines and deliver solutions using the languages, frameworks and tools they already know.
Lower TCO with simplified ingestion and transformation
Reduce the time it takes to access new data and insights. Build and run pipelines automatically using the most effective set of resources possible. Simplify ingestion and automate incrementalization within dbt models to increase development agility and eliminate waste so you pay for only what's required, not more.
Unify governance for all your real-time and historical data
Give your business complete confidence in your data in the lakehouse. Get lineage from ingest to transformation, with complete visibility into upstream and downstream object dependencies. Eliminate data silos, centralize security and governance models, and provide complete support for all your streaming and batch data in one place.
