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Starburst Galaxy
Starburst Galaxy offers a full-featured data lake analytics platform that allows you to discover, manage, and consume the data in and around your data lake.
Reviews (106)
Insurance
Federated SQL + Solid API Automation on Managed Elastic Compute
Reviewed on Jul 10, 2026
Review provided by G2
What do you like best about the product?
The federated query layer — one SQL surface over S3/Iceberg and Redshift — combined with a solid public API that lets us automate the whole cluster/catalog lifecycle for self-service onboarding, on managed elastic compute we don't have to operate. The AI capabilities are an add-on advantage
What do you dislike about the product?
Currently rough edge is managing catalogs at scale (per-cluster limits and some API latency), but it's easy enough to work around.The pricing runs a little on the higher side, so cost is something we keep an eye on as usage grows
What problems is the product solving and how is that benefiting you?
We struggled with data siloed across S3/Iceberg and Redshift — requiring copies, ETL, and our own query infrastructure to unify it — but now we can query every source through one SQL layer with compute and connections provisioned programmatically, which has resulted in faster access to data, much less ETL and duplication, and significantly lower operational overhead through managed, elastic clusters.
Information Technology and Services
Near Real-Time Streaming Security Data Ingestion and Federated Querying with Starburst
Reviewed on Jul 09, 2026
Review provided by G2
What do you like best about the product?
Starburst solves the challenge of ingesting streaming security data via schema discovery while allowing querying and enrichment from federated catalogs at near real time and allows the collapsing of multiple applications into one product thereby reducing cost.
What do you dislike about the product?
Starbursts own application logging could be more detailed and easier to export for historically lookup and review. When a query fails and you use the advance tab to look into specific Trino errors at run time, there is additional steps to troubleshoot/discover what they suggest as the issue.
What problems is the product solving and how is that benefiting you?
The ever-expanding list of catalogs and vendor integrations creates an environment where we no longer have the burden of ingesting and storing and managing all the company's data but provides it seamlessly for our data analytics and data scientists' use cases. There is less product sprawl, less administrative overhead and simpler cross catalog analytics.
Niketan Kumar
Unified data querying has accelerated petabyte-scale analytics and simplified dashboard delivery
Reviewed on Apr 27, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for Starburst Galaxy is querying petabytes of data across vast data sources, and I use a federated query engine to join data sources from different databases and then join them using Starburst Galaxy.
I have different data sources, including Oracle, DB2, and a MongoDB cluster, so I join all of these data sources using Starburst Galaxy with the federated querying feature. I transform that into Iceberg using Starburst Galaxy, land it in S3 storage, convert it into Iceberg tables, and then use them for dashboarding in Power BI or Tableau.
What is most valuable?
Starburst Galaxy offers me several best features, which include very fast querying results, automatic indexing of data for long tables, a cost-based optimizer which reduces the time to query large tables, and an agentic feature that lets me talk to my data.
I find myself relying most on querying from different databases as well as automatic indexing in my day-to-day work, as I am a data science architect who needs to get the queries in a very short period of time. Starburst Galaxy serves the best purpose for me because if my SLAs are not met with my customers, they will raise a case, and I have tried many other tools, but Starburst Galaxy fits the best.
Starburst Galaxy has positively impacted my organization since we were struggling with Denodo and Dremio, which had their own features but were not helpful in querying large amounts of data, especially semi-structured or unstructured data. Starburst Galaxy addresses this with many YAML files and manifest files for automated maintenance, and it helps reduce the small file problem in different HDFS systems. Additionally, Starburst Galaxy has an MCP server that connects to various agentic pipelines, reducing the time to market for data consumption.
What needs improvement?
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.
For how long have I used the solution?
I have been using Starburst Galaxy for the last four years.
What do I think about the stability of the solution?
Starburst Galaxy is stable.
What do I think about the scalability of the solution?
Starburst Galaxy's scalability is excellent as it can easily scale up to large clusters, with many nodes configured for the amount of data ingested daily, allowing it to handle petabytes of data efficiently.
How are customer service and support?
Customer support is quite good; we faced issues with complex queries and reached out to Starburst, and they were very helpful in troubleshooting those issues.
Which solution did I use previously and why did I switch?
We previously used Dremio, but it was not fast and had a lot of limitations in processing large unstructured and structured data, leading us to switch to Starburst Galaxy.
How was the initial setup?
The experience with pricing, setup cost, and licensing was straightforward, as I could easily purchase the licensing in the AWS Marketplace. For on-premises, we contacted Starburst for licensing costs, and the setup was quite easy—a one-click setup that allows us to discover the catalogs for querying. The licensing cost was reasonable compared to the value we receive from Starburst Galaxy, making it a good product overall.
What was our ROI?
I have seen a return on investment; the quick dashboarding allows me to publish dashboards and data products, saving significant time for publishing to different endpoints and translating into a cost savings of around $500,000, which we previously spent on getting reports published due to the reduced turnaround time and our capability to serve many more customers than before.
Which other solutions did I evaluate?
We did not evaluate other options before choosing Starburst Galaxy; we directly went to it.
What other advice do I have?
I would advise others looking into using Starburst Galaxy to consider it one of the best tools in the market, especially for ingesting large datasets and federating queries across different data sources. Starburst Galaxy is the best engine currently available, and they should try it for themselves to see the difference in query times. My overall review rating is 8 out of 10.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
reviewer2816292
Unified data from diverse sources has created consistent client views and reshaped data strategy
Reviewed on Apr 10, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for Starburst Galaxy is to use it as a data federation tool, collect data from various data sources, and have a unified view of the data.
A quick specific example of how I use Starburst Galaxy for data federation in my daily work is that I assume I need data from five different data sources, and each data source is on a different database platform, and I have information that I need for my client profile. I can pull data from all those five different data sources and have a consolidated view of the client.
Those are the main use cases for Starburst Galaxy; basically, we are trying to build data products.
What is most valuable?
Starburst Galaxy is very SQL friendly, which stands out for me because I have used SQL in other platforms such as SQL Server, Teradata, and Oracle, so it is very portable with minor changes.
Another feature I appreciate in Starburst Galaxy is that it has object storage with Iceberg storage, which helps optimize data storage and also enables columnar search, which speeds up queries.
Starburst Galaxy has positively impacted my organization by allowing us to rethink the strategy for data and architect data differently; instead of having multiple data marts and siloed data marts, we have a unified vision, and that is how it is changing.
What needs improvement?
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.
For how long have I used the solution?
I have been using Starburst Galaxy for 18 months.
What do I think about the stability of the solution?
Starburst Galaxy is stable in my experience so far.
What do I think about the scalability of the solution?
I do not have enough visibility into the scalability of Starburst Galaxy, but I think we are adding more and more data sources into it, so I believe it is going to be scalable, though results are still pending.
How are customer service and support?
Starburst Galaxy customer support is good.
Which solution did I use previously and why did I switch?
Earlier, we were using traditional databases.
What was our ROI?
I am yet to see the hard numbers regarding return on investment, but I believe it will probably result in money saved and time saved.
What other advice do I have?
My advice to others looking into using Starburst Galaxy would be to first understand your current data environment and make sure that you have the right connectors that Starburst Galaxy can connect to those environments. Have a dedicated team from Starburst who can help you through all the installation and onboarding, and ensure all your personnel who are going to be working on that environment receive good training with proper use cases. I would also recommend using a sandbox in your environment and putting Starburst Galaxy in it so that you can get a taste of how it works with your data. I gave this product a rating of eight.
Financial Services
Outstanding Performance and Savings with Robust Governance
Reviewed on Dec 09, 2025
Review provided by G2
What do you like best about the product?
The query performance, governance features, and cost savings stand out when compared to other solutions such as AWS Athena.
What do you dislike about the product?
The user interface could use a more modern design and enhancements to make it easier to use. Additionally, the existing documentation is too basic for enterprise needs; users would benefit from more advanced, production-level examples instead of just beginner tutorials. Finally, the consumption-based pricing model makes it difficult to predict monthly expenses with accuracy.
What problems is the product solving and how is that benefiting you?
This product offers capabilities in data analytics, cataloguing, and data governance. It provides tools that help manage and organize data efficiently, supporting both analysis and oversight. Overall, it addresses key needs in handling and governing data within an organization.
Sai S.
Outstanding Support Team Makes All the Difference
Reviewed on Dec 09, 2025
Review provided by G2
What do you like best about the product?
The support team is very good. They are very helpful and informative
What do you dislike about the product?
I just feel that the documentation could be better. That's all
What problems is the product solving and how is that benefiting you?
Data querying, retrieval, enhancing decision making, ability to leverage AI and vector search tools.
Banking
Streamlined Data Analytics with Excellent Support
Reviewed on Dec 05, 2025
Review provided by G2
What do you like best about the product?
I like how Starburst gives us more insight about the query execution plan. It's really helpful in understanding how a query is going to execute. It also has lineage and audit features. I find it user-friendly for managing data security with RBAC and based security controls, which are necessary for data governance. Starburst is especially useful for running complex queries, especially when dealing with multiple joins and data source systems. It supports multiple languages, which I find very valuable. Setting up Starburst wasn't complex, and I had good support from the solution architect, which made the process successful.
What do you dislike about the product?
Sometimes I face challenges with the query editor. Whenever we have a big source code, it's not big enough to troubleshoot and run the query faster compared to a traditional SQL editor. I would definitely give feedback to the internal team to make it more user-friendly.
What problems is the product solving and how is that benefiting you?
Starburst solves data duplication issues, allowing access to any source without copying data for analytics. It's user-friendly for managing data security with RBAC and facilitates complex queries across multiple data sources, supporting multilingual analytics.
Banking
Fast Data Queries and Robust Access Controls
Reviewed on Dec 03, 2025
Review provided by G2
What do you like best about the product?
Starburst simplifies querying data quickly, while also offering useful controls for managing access.
What do you dislike about the product?
If Starburst offered more comprehensive documentation, particularly when new releases come out, it would make it much easier to understand the new features.
What problems is the product solving and how is that benefiting you?
Starburst makes it simple for us to give our customers convenient access to the data they require.
Financial Services
Effortless Data Federation and Granular Governance Made Easy
Reviewed on Nov 15, 2025
Review provided by G2
What do you like best about the product?
Effortlessly federating data is a standout feature, and the ability to apply data governance with a high level of granularity is impressive. I also appreciate how easy it is to use overall.
What do you dislike about the product?
One drawback is the absence of a built-in data processing and orchestration mechanism.
What problems is the product solving and how is that benefiting you?
The platform enables rapid data integration from a variety of sources, spanning different regions and cloud environments. It simplifies feature engineering for AI datasets, making the process more efficient. With a single platform, it delivers governed data to multiple stakeholders, ensuring consistency and control. Automated user access is streamlined through OKTA SAML setup, enhancing security and ease of use. Additionally, curated data can be provided directly to client storage, eliminating the need to store or transfer data locally.
Dev Saran S.
Effortless AI Agent Creation with Robust Features
Reviewed on Nov 06, 2025
Review provided by G2
What do you like best about the product?
While creating AI agents its very easy to use starburst it already has most support and nice number of features. If you want to let AI agents use your data there are built in plugins controlling governance and ease.
What do you dislike about the product?
Lack of community support and reliability. Most of the companies prefer to go to Azure and have their own AI solution because main thing is about reliabilty.
What problems is the product solving and how is that benefiting you?
Creating data pipelines and ease of connecting AI agents with organisational data.