Mode + Databricks
Mode is the fast, flexible front-end for your Databricks architecture. From question to answer to decision, Mode analysis coupled with with Databricks architecture builds data trust through collaboration.
See Mode x Databricks in action
Better decisions at the speed of business
Unlock the full potential of your Databricks Lakehouse with Mode’s powerful end-to-end analytical workflow.
Benefits of API Integration
Helix is a high-performance, in-memory database designed for filtering, aggregating, and adjusting query results with sub-second latency.
Analysts can flow between querying millions of rows, writing complex logic in Python or R, and building interactive reports to extend their insights to the business.
Data stakeholders across the organization can easily share and reuse queries, notebooks, and dashboards.
How it works
Mode connects seamlessly with your Databricks Lakehouse in less than a minute
Your database schemas are automatically populated into Mode’s schema browser so you can start querying immediately.
Analysis capability scales with your data architecture
The Helix in-memory engine keeps exploratory analyses performant without repeated queries to your Databricks architecture.
Databricks is the Data + AI company. With origins in academia and the open-source community, the company was founded in 2013 by the original creators of Apache Spark™, Delta Lake and MLflow. Built on a modern Lakehouse architecture in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.
Data teams move faster in Mode