Cube vs Polars
Cube
cube.dev
Polars
pola.rsSide by side
| Figure | Cube | Polars |
|---|---|---|
| Price from | $40/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 1 |
| Spec score · Data Transformation Tools | 9.1 (#4) | 7.7 (#20) |
| Founded | 2019 | 2023 |
| Integrations | Listed data sources include Snowflake, BigQuery, Redshift, Databricks, ClickHouse, PostgreSQL, MySQL, MongoDB, Trino, Presto and AWS Athena. | The homepage lists support for CSV, JSON, Parquet, Delta Lake, AVRO, Excel, Feather, Arrow, several databases, and cloud storage. |
| Product | Cube is an agentic analytics platform built on a semantic layer for business users and AI agents. | Polars is an open-source DataFrame library for data manipulation, described as a fast single-machine data processing solution with a typed, expressive API. |
| Security | Cube states that data is encrypted at rest, API access uses token-based security, and application traffic is encrypted over SSL/TLS 1.2. | Polars says Polars Cloud compute runs in the customer's cloud environment and that customer data does not leave that environment. |
| Support | Cube lists community support for Free, limited chat and email for Starter, and chat and email plus a dedicated CSM for Enterprise. | Polars Cloud offers team support for technical questions, implementation guidance, and product feedback. |
Plans
In their own words
Cube
Cube is an analytics platform with a semantic layer that encodes governed business definitions for dashboards, embedded applications, and AI agents. Cube Cloud supports internal business intelligence and embedded analytics, while Cube Core is the open-source project alongside which the cloud platform is built. The Free plan includes a semantic layer IDE, workbooks, dashboard publishing, semantic model and workbook agents, and analytics chat. Listed data sources include PostgreSQL, Snowflake, ClickHouse, Databricks, BigQuery, MySQL, Oracle, Redshift, MongoDB, and Trino; integrations include dbt, Dagster, Prefect, Airflow, and Coalesce.io. Cube Core processes API requests using pre-aggregated data in Cube Store or raw data in connected databases. Cloud deployment options include a managed multi-tenant service on AWS or GCP, a VPC on AWS, GCP, or Azure, and a customer's cloud through BYOC. Cube lists a free plan, Starter at $40 a month per developer, and Premium at $80 a month per developer.
Polars
Polars is an open-source DataFrame library for data manipulation, designed for single-machine processing with a typed, expressive API. Its multithreaded query engine is written in Rust and uses vectorized columnar processing to execute work in parallel. A query optimizer selects an execution plan, and the streaming API can process datasets larger than memory without holding all results in memory. Installation examples cover Python, Rust, and JavaScript. Supported formats include CSV, JSON, Parquet, Delta Lake, Avro, Excel, Feather, and Arrow IPC; the homepage also lists databases and cloud storage. Polars can read and write data in AWS S3, Azure Blob Storage, and Google Cloud Storage. The open-source library costs nothing under the MIT license. Polars Cloud runs distributed queries through the Polars API and scales work from local execution to a cluster; it is available on AWS. Its 30-day trial begins when an organization connects its first workspace to AWS, and its compute runs in the customer's cloud environment. Polars On-Prem supports Kubernetes and bare-metal deployments, including air-gapped Enterprise deployments.