Astro by Astronomer vs. Maia by Matillion
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
Astro by Astronomer | Score8.7 out of 10 | N/A | For data teams looking to increase the availability of trusted data, Astronomer provides Astro, a 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 8 million times each month and is used by hundreds of thousands of teams around the world. | N/A |
Maia by Matillion | Score8.5 out of 10 | N/A | Maia by Matillion is an autonomous data engineering platform designed to automate the lifecycle of data pipelines through AI-driven orchestration. The solution functions as an enterprise "digital workforce" that translates natural language requirements into production-ready DataPipelines, leveraging a Pushdown Architecture to execute transformations natively within cloud data warehouses. | N/A |
| Astro by Astronomer | Maia by Matillion | |||||||||||||||
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| Editions & Modules | No answers on this topic | No answers on this topic | ||||||||||||||
| Offerings |
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| Entry-level Setup Fee | Optional | No setup fee | ||||||||||||||
| Additional Details | — | Billed directly via cloud marketplace on an hourly basis, with annual subscriptions available depending on the customer's cloud data warehouse provider. | ||||||||||||||
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| Astro by Astronomer | Maia by Matillion | |
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| Considered Both Products | No answer on this topic | No answer on this topic |
| Key User Insights | ||
| Would buy again | ||
No answers on this topic | 86% Would buy again 54 Answers | |
| Delivers good value for the price | ||
No answers on this topic | 95% Delivers good value for the price 53 Answers | |
| Happy with the feature set | ||
No answers on this topic | 94% Happy with the feature set 59 Answers | |
| Lived up to sales and marketing promises | ||
No answers on this topic | 95% Lived up to sales and marketing promises 42 Answers | |
| Implementation went as expected | ||
No answers on this topic | 93% Implementation went as expected 52 Answers | |
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| Small Businesses | No answers on this topic | Skyvia Score10 out of 10 |
| Medium-sized Companies | Apache Spark Score8.9 out of 10 | IBM InfoSphere Information Server Score10 out of 10 |
| Enterprises | Apache Spark Score8.9 out of 10 | SolarWinds Task Factory Score8.3 out of 10 |
| All Alternatives | View all alternatives | View all alternatives |
| Astro by Astronomer | Maia by Matillion | |
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| Likelihood to Recommend | 10.0 | 8.7 |
| Likelihood to Renew | - | 8.6 |
| Usability | - | 8.5 |
| Support Rating | - | 7.4 |
| Implementation Rating | - | 8.2 |
| Data Sharing and Collaboration | - | 9.0 |
| Data Sources | - | 9.0 |
| Product Scalability | - | 8.2 |
| Vendor post-sale | - | 9.1 |
| Vendor pre-sale | - | 9.1 |
| Astro by Astronomer | Maia by Matillion | |
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| Likelihood to Renew | No answers on this topic |
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| Usability | No answers on this topic |
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| Support Rating | No answers on this topic |
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| Implementation Rating | No answers on this topic |
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| Scalability | No answers on this topic |
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| ScreenShots | Maia by Matillion Screenshots |







