Data Analyst at a financial services firm with 5,001-10,000 employees
Real User
Top 10
Sep 22, 2026
One area that I think could be improved is the experience when performance issues occur. When a query is slow, it is not always immediately obvious to me whether the bottleneck comes from Starburst Galaxy itself, the underlying data source, the query design, or the reporting tool. Better visibility into query performance and easier diagnostics for non-administrators would be useful. Another potential improvement would be enhancing the experience with BI tools to make it more seamless. I work a lot with Power BI, and when you are working with larger data sets, performance can sometimes depend on several different layers. Having more visibility into what is happening between the BI tool, Starburst Galaxy, and the underlying source would be helpful. I also think onboarding could be a little more accessible for analysts. There is good technical documentation, but sometimes I just need to understand the best way to approach a common use case without diving too deep into the platform architecture. The main improvement would be troubleshooting. I have not used the AI capabilities extensively, so I cannot give a detailed assessment. I am not sure if my organization has the full capabilities of Starburst Galaxy, but I think adding AI on top of the data layer is interesting, especially if it can help users discover data, understand data sets, and interact with them more naturally. For governance and security, one of the strengths of Starburst Galaxy is that you can centralize access to data while still controlling what different users are allowed to see. Role-based access, fine-grained permissions, and data masking are important because giving people easier access to data should not mean giving everyone access to everything. I think that is even more important than any AI capabilities that are introduced. If you do introduce AI, I think it should respect exactly the same data permissions and governance rules as the user that is accessing the data.
Starburst Galaxy can be improved by discovering unstructured data and building in streaming ingestion because we are currently using Kafka for that purpose. We rely on third-party tools for ingesting the streaming files, and I see they are integrating with MCP and agentic pipelines. Including these features would make Starburst Galaxy a much better tool.
Senior Vice President at a financial services firm with 10,001+ employees
Real User
Top 20
Apr 10, 2026
One way Starburst Galaxy can be improved is through AI enablement. I have not seen how the user interface is going to function or how users can interact with the data products on Starburst Galaxy using AI, so I am curious to know about that. I chose a rating of eight because it has many good features, including data federation and the ability to write queries easily. I think there are areas of improvement with respect to AI adaptability, and also in general, the amount of connectors working with other tools are areas where it can be expanded.
Multi-tenancy could be improved. In order to have multiple environments for SSO, we maintain multiple tenants that are connected to different AWS accounts via the Marketplace. On the AWS side this setup works because all accounts belong to the same organization. However, on the Starburst side these tenants are disconnected from each other, and it would be great if they could be connected and managed centrally.
Head of Data at a financial services firm with 51-200 employees
Real User
Top 10
Aug 12, 2025
I would like Starburst to leverage AI to improve usability. Data lakes are complicated and difficult for users to explore. AI would help a lot in this respect.
Staff Data Architect at a tech vendor with 11-50 employees
Real User
Top 10
Aug 1, 2025
As a hosted option, I wish I had more control over the cluster configuration, specifically regarding some of the more advanced options. Trino is extremely flexible and powerful, but some of this functionality is gated on the Galaxy platform. Most users and admins will never need these features, but on occasion I have encountered issues that could have been resolved by a configuration change in five minutes rather than redesigning a data product. That said, I have a high degree of expertise with the tool, and this is more of a quibble than a major issue.
Chief Architecture Officer at a computer software company with 51-200 employees
Real User
Top 10
Jul 30, 2025
I am able to connect Starburst Galaxy to other tools such as Tableau using the connector, but I would like to see better support for spinning up a cold Starburst Galaxy cluster via Tableau, as it currently just times out. I would like the Starburst connector in Tableau to have the capability to hold the connection open while Starburst Galaxy starts up.
Starburst Galaxy enhances data management with fast querying, flexible data integration, and efficient cost handling, offering seamless connectivity to numerous data platforms and formats.Starburst Galaxy stands out for its exceptional query speed and flexibility, offering effective federated querying and cluster management. It facilitates connection to multiple data warehouses and supports writing to varied formats. The intuitive interface simplifies navigation and administration while...
One area that I think could be improved is the experience when performance issues occur. When a query is slow, it is not always immediately obvious to me whether the bottleneck comes from Starburst Galaxy itself, the underlying data source, the query design, or the reporting tool. Better visibility into query performance and easier diagnostics for non-administrators would be useful. Another potential improvement would be enhancing the experience with BI tools to make it more seamless. I work a lot with Power BI, and when you are working with larger data sets, performance can sometimes depend on several different layers. Having more visibility into what is happening between the BI tool, Starburst Galaxy, and the underlying source would be helpful. I also think onboarding could be a little more accessible for analysts. There is good technical documentation, but sometimes I just need to understand the best way to approach a common use case without diving too deep into the platform architecture. The main improvement would be troubleshooting. I have not used the AI capabilities extensively, so I cannot give a detailed assessment. I am not sure if my organization has the full capabilities of Starburst Galaxy, but I think adding AI on top of the data layer is interesting, especially if it can help users discover data, understand data sets, and interact with them more naturally. For governance and security, one of the strengths of Starburst Galaxy is that you can centralize access to data while still controlling what different users are allowed to see. Role-based access, fine-grained permissions, and data masking are important because giving people easier access to data should not mean giving everyone access to everything. I think that is even more important than any AI capabilities that are introduced. If you do introduce AI, I think it should respect exactly the same data permissions and governance rules as the user that is accessing the data.
Starburst Galaxy can be improved by discovering unstructured data and building in streaming ingestion because we are currently using Kafka for that purpose. We rely on third-party tools for ingesting the streaming files, and I see they are integrating with MCP and agentic pipelines. Including these features would make Starburst Galaxy a much better tool.
One way Starburst Galaxy can be improved is through AI enablement. I have not seen how the user interface is going to function or how users can interact with the data products on Starburst Galaxy using AI, so I am curious to know about that. I chose a rating of eight because it has many good features, including data federation and the ability to write queries easily. I think there are areas of improvement with respect to AI adaptability, and also in general, the amount of connectors working with other tools are areas where it can be expanded.
Multi-tenancy could be improved. In order to have multiple environments for SSO, we maintain multiple tenants that are connected to different AWS accounts via the Marketplace. On the AWS side this setup works because all accounts belong to the same organization. However, on the Starburst side these tenants are disconnected from each other, and it would be great if they could be connected and managed centrally.
I would like Starburst to leverage AI to improve usability. Data lakes are complicated and difficult for users to explore. AI would help a lot in this respect.
As a hosted option, I wish I had more control over the cluster configuration, specifically regarding some of the more advanced options. Trino is extremely flexible and powerful, but some of this functionality is gated on the Galaxy platform. Most users and admins will never need these features, but on occasion I have encountered issues that could have been resolved by a configuration change in five minutes rather than redesigning a data product. That said, I have a high degree of expertise with the tool, and this is more of a quibble than a major issue.
I am able to connect Starburst Galaxy to other tools such as Tableau using the connector, but I would like to see better support for spinning up a cold Starburst Galaxy cluster via Tableau, as it currently just times out. I would like the Starburst connector in Tableau to have the capability to hold the connection open while Starburst Galaxy starts up.