A New Approach to Data Warehousing

Chakra is pioneering a fundamentally different approach to data warehousing by combining two powerful innovations: the performance of DuckDB with bare-metal infrastructure.

This combination delivers high performance, low costs, and true data ownership.

Built on DuckDB: The Future of Data Processing

DuckDB represents a fundamental shift in how we process data. While traditional data warehouses rely on distributed systems, DuckDB takes a different approach by focusing on highly efficient single-machine processing. The project has seen explosive growth, surpassing established databases like Postgres in GitHub popularity.

Why DuckDB Is Revolutionary

In-Memory Processing

DuckDB performs computations directly where your data lives, eliminating the “cold-start” problem that plagues distributed systems like Spark. This means no data movement costs and significantly lower latency for most operations.

Vectorized Processing

Written in C++, DuckDB’s vectorized processing engine can handle datasets much larger than available memory. Recent benchmarks have shown it outperforming Databricks on many operations by avoiding the overhead of data distribution.

Modern Features for Modern Data

DuckDB has rapidly evolved to meet contemporary data needs:

SQL-Native Design

Unlike many modern data solutions that require learning new query languages or APIs, DuckDB uses standard SQL. This means:

  • No retraining needed for analysts
  • Familiar tooling and workflows
  • Easy integration with existing systems
  • Complex transformations without new languages

Choose your own infrastructure

We’ve built using a network of storage and compute providers that allow you to flexibly choose the most cost-efficient and performant option for your needs.

Data Ownership

With Chakra, you have full custodial keys to your storage environments without any of the maintenance complexity.

We provision object storage for you, but if you ever want access to pull all of your data, you have the keys to do so.

Getting Started

Ready to try a more efficient, cost-effective data warehouse? Here’s how to begin: