Starburst Reviews & Product Details

I love using Starburst because it makes it easy to run SQL queries, investigate issues, validate changes, and quickly gather information without moving data between systems. It's a useful tool for day-to-day development work and troubleshooting. The query editor is especially easy to use, making it simple to investigate issues and find data. Additionally, the initial setup was quite easy, and I had no issues setting it up. Starburst also provides a more unified way to query data across multiple sources. Review collected by and hosted on G2.com.

I find the user interface could be simpler, and better onboarding for new users would be beneficial. It would be helpful if the menus were simpler and user actions were easier to find. Interactive walkthroughs for new users would also be a great addition. Review collected by and hosted on G2.com.

The support team is very good. They are very helpful, quick and professional. Their prompt assistance and dedication make a real difference, and their efforts are truly appreciated. Review collected by and hosted on G2.com.

. The only area I feel could be improved is the documentation, which could be more detailed and easier to follow. Other than that, I have no further concerns. Review collected by and hosted on G2.com.

I particularly appreciate the robust query capabilities and user-friendly interface of Starburst. The ability to execute complex queries against diverse data sources without writing extensive SQL code is a game-changer. For instance, I often need to analyze large datasets from multiple cloud storage systems simultaneously, and Starburst's unified catalog allows me to do this efficiently with just a few clicks. This significantly reduces the time spent on manual integration and data preparation tasks.

Additionally, the dynamic schema discovery feature automatically detects table schemas for new data sources, which is incredibly helpful when working with constantly changing datasets in my organization. This saves hours each week that would otherwise be wasted setting up and maintaining connections to different databases manually. Review collected by and hosted on G2.com.

One area for improvement is the initial setup and onboarding process, which can be quite complex and time-consuming. Configuring the unified catalog requires meticulous attention to detail and an understanding of each data source's schema and metadata. While the documentation provides a good starting point, it lacks detailed examples for more advanced configurations involving third-party systems.

Another pain point is the performance when handling extremely large datasets in real-time analytics scenarios. Although Starburst performs well under most conditions, there are occasional delays and scalability issues during peak usage times or when querying very large tables. This can impact productivity and user satisfaction, especially for time-sensitive projects.

Improving the onboarding experience through more interactive tutorials and guided setup wizards could alleviate some of these initial frustrations. Additionally, enhancing query optimization techniques and resource management features would help maintain performance even under heavy loads, ensuring a smoother user experience throughout all phases of data analysis. Review collected by and hosted on G2.com.

I found Starburst very useful overall, especially because it made it easy to query data across different systems without having to move everything into one place. The experience felt practical and efficient, and it was a good fit for working with distributed data.

UI / UX

I liked the UI because it was clean and easy to use. It made common tasks feel straightforward, and I didn’t spend much time figuring out where things were.

Integrations

One of the biggest positives for me was the integrations. It connected well with multiple data sources, and that saved a lot of time in setup and day-to-day work.

Performance

Performance was a strong point. Queries felt fast, and that made analytics and reporting much smoother than I expected from a federated setup.

Pricing / ROI

From my perspective, the value came from reducing data movement and saving engineering time. Even if the pricing isn’t the cheapest, the ROI makes sense when you factor in faster access, simpler architecture, and less operational overhead.

Support / Onboarding

Onboarding was smooth, and the support was responsive when I needed help. The documentation and guidance made it easier to get up and running without a lot of friction.

AI / Intelligence

I also liked that Starburst is moving toward AI-ready use cases. The idea of combining federated data access with governance and AI-friendly features makes it feel more future-proof.

Overall, I’d describe Starburst as a strong platform for teams that want fast, federated SQL access across many systems, with good usability and solid support Review collected by and hosted on G2.com.

I’d say my biggest dislikes are the steep learning curve, the setup/configuration complexity, and the fact that it can feel expensive as usage grows. For smaller teams, that combination can make it harder to justify unless the federation and performance benefits are clearly worth it.

UI / UX

The UI is usable, but it doesn’t completely hide the complexity underneath. When a platform has a lot of configuration and governance depth, the day-to-day experience can feel heavier than simpler tools.

Integrations

Even though the integrations are a strength, the breadth of connectors can also add operational complexity. In practice, that means there can be more moving parts to manage and more places where setup needs to be exact.

Performance

Performance is generally strong, but it isn’t always perfect for every workload. Some users mention slow queries or performance issues, especially when they’re asking very specific or demanding questions.

Pricing / ROI

Pricing is probably the part I’d question most. The value can be great at scale, but for smaller teams or tighter budgets, the cost can rise quickly as query volume grows.

Support / Onboarding

Onboarding is where I’d expect the most friction. It seems like you need enough technical depth to configure things correctly from the start, otherwise the learning curve can slow the team down.

AI / Intelligence

The AI direction is promising, but I’d still treat it as emerging rather than fully proven for every use case. For me, it wouldn’t be the main reason to choose Starburst today. Review collected by and hosted on G2.com.

The query performance, governance features, and cost savings stand out when compared to other solutions such as AWS Athena. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I use Starburst to 'dismantle' our data from D365FO efficiently using BYOD, and it's great for querying large amounts of data quickly. I like how Starburst allows me to join large datasets across silos without needing custom pipelines. The separate computing from storage feature and its parallel processing capabilities help in making data processing faster than our current methods. Review collected by and hosted on G2.com.

I wish Starburst had a direct connection to D365FO because using BYOD or any middleman adds extra cost, specifically in Azure. The initial setup was a bit harder since we had to create a separate BYOD database. If a direct connection were possible, it would definitely be easier. Review collected by and hosted on G2.com.

I like how Starburst lets me query data from different sources all in one place, making data management much simpler. I also appreciate the flexibility and performance it offers, especially in handling large datasets efficiently. Another thing I find valuable is that it allows working with various data without needing custom integrations, which is neat. Review collected by and hosted on G2.com.

I think the learning curve for Starburst is a bit steep; it takes a while to learn. Review collected by and hosted on G2.com.

Starburst has good and user friendly UI. It also provides a very good performance. The out of the box integrations saves hours of work every week. Review collected by and hosted on G2.com.

So far I haven't found any downsides of using starburst. Everything is really good. The AI Integration is really good. And it can be improved further to increase the AI coverage throughout the product. Review collected by and hosted on G2.com.

I like how fast Starburst is and how maintenance-free the administration of it is. The initial setup of Starburst was very easy. Review collected by and hosted on G2.com.

I find the documentation of Starburst could be improved as sometimes it doesn't match. Review collected by and hosted on G2.com.

It has better performance, UI/UX and support. Also we consider cost efficiency for this purchase. It has rich integration options for our use case. I will highly recommend. Review collected by and hosted on G2.com.

Licensing can get expensive as clusters scale, especially compared to running open-source Trino yourself. For teams already comfortable managing infrastructure, the premium can feel hard to justify. Review collected by and hosted on G2.com.