Self-service data engineering, built for the
the lakehouse
Data volumes are exploding faster than ever before, leading to the rising adoption of scalable cloud data storage and processing technologies. But does your company have enough skilled data workers to fully leverage the vast volumes of data inside your lakehouse?
Designer Cloud’s self-service data engineering platform natively integrates with Databricks on AWS and Azure to empower everyone in your organization, regardless of technical skill level, to efficiently combine, explore, and transform their own data in the lakehouse.
With Designer Cloud, organizations can take underutilized data in their lakehouse from “nice to have” to “mission critical.”
Partner Snapshot
Databricks, founded by the original creators of Apache Spark™, provides the Unified Analytics Platform to accelerate innovation by unifying data science, data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production delivery of machine learning use cases.
Databricks provides a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership.
Accelerate & Automate Databricks Data Pipelines
Visually-driven platform accelerates the process of building and automating data pipelines to and from Databricks
Native Databricks Read and Write
Low-code and no-code data transformation steps can read and write natively to Databricks databases and tables on AWS and Azure
Scalable & High-Performing
Integration with Databricks provides improved workload performance and scalability for cloud analytics
Fully Managed Cloud Platform
Fully managed cloud platform simplifies data engineering operations so workers can focus on the data
