Databricks vs DuckDB — Comparison

Databricks

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governa

With the Data Intelligence Platform, Databricks democratizes insights to everyone in an organization. Built on an open lakehouse architecture, the Data Intelligence Platform provides a unified foundation for all data and governance, combined with AI models tuned to an organization’s unique characteristics. Now, anyone in an organization can benefit from automation and natural language to discover and use data like experts, and technical teams can easily build and deploy secure data and AI apps and products. With origins in academia and the open source community, Databricks was founded in 2013 by the original creators of the lakehouse architecture and open source projects Apache Spark™, Delta Lake, MLflow and Unity Catalog. Today, more than 15,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Headquartered in San Francisco, with offices around the world, Databricks is on a mission to simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems. Databricks has 1,200+ global cloud, ISV and consulting partners that provide data, analytics and AI solutions and services to our joint customers to help scale initiatives with Databricks.

DuckDB

DuckDB is an in-process SQL OLAP database management system. Simple, feature-rich, fast & open source.

Used by data teams in Big Tech, finance and startups Use DuckDB's friendly but powerful SQL dialect to query any data source (Parquet, JSON, S3, data lakes, etc.) We made sure that you can install DuckDB in just a few seconds, and built it on familiar technologies so you can start using it immediately. We support a wide range of industry standard technologies (e.g., Parquet, SQL, S3 API) and combine them into a seamless user experience. We built DuckDB on a fast columnar storage engine. DuckDB can spill to disk to support workloads far larger than the available system memory. We release DuckDB, its core extensions and the DuckLake format under MIT, a permissive open-source license. We distribute DuckDB for all popular operating systems and ship idiomatic client APIs for major programming languages. We created a powerful extension mechanism that enables adding new features. In fact, we implemented many core DuckDB features as extensions. DuckDB has native clients and integrations with the data ecosystem Start using DuckDB in your environment

Databricks

DuckDB

Databricks

DuckDB

Databricks

DuckDB