Google Cloud Knowledge Catalog vs. Astro by Astronomer
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Knowledge Catalog | Astro by Astronomer |
|---|---|---|
| Overall rating | 4.3 | 4.5 |
| Review count | 17 | 136 |
| Ease of use | 8.7 | 9.2 |
| Ease of setup | 10.0 | 8.9 |
| Quality of support | 8.5 | 9.1 |
| Meets requirements | 9.0 | 9.1 |
| NPS | 58.823529 | 72.592593 |
| Small Business | 41.2% | 13.4% |
| Mid-Market | 17.6% | 47.8% |
| Enterprise | 41.2% | 38.8% |
| Total page views | 69 | 763 |
| Total LLM citations | 152 | 3,948 |
Google Cloud Knowledge Catalog
Knowledge Catalog is a dynamic, always-on, universal context engine for agents. It unifies structured, unstructured, and SaaS data into a governed, agent-ready truth. Knowledge Catalog aggregates native context across your Google and partner data platforms, semantic models, and third-party catalogs, unifying them into a single, governed source of truth. Automatically harvest technical metadata across your foundational systems—including BigQuery, AlloyDB, Spanner, Cloud SQL, Firestore (Preview), and Looker (Preview).
Astro by Astronomer
For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code. Astronomer is the driving force behind Apache Airflow™, the de facto standard for expressing data flows as code. Airflow is downloaded more than 31 million times each month and is used by hundreds of thousands of teams around the world.
- Ease of Use
- Efficiency Improvement
- User Interface
- Automation
- Reliability
- Deployment Ease