--- title: Starburst Reviews meta_title: 'Starburst Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 118 reviews by the users' company size, role or industry to find out how Starburst works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 118 scale: '5' date_modified: '2026-10-12' parent_category: name: Big Data url: https://www.g2.com/categories/big-data ---

Starburst Reviews & Product Details

Value at a Glance

Averages based on real user reviews.

Time to Implement

4 months

HN
Hannah N.
Senior Data Analyst
Biotechnology
Small-Business (50 or fewer emp.)
"Efficient query handling for large datasets, best I ever used"
4/5
What do you like best about Starburst?

I specially like that Starburst has an exceptional performance managing complex queries over large datasets. What that platform is fantastic with is processing huge quantities of data quickly so when we want to do detailed analysis, we don’t have to worry about slow downs. It's especially helpful when we're dealing with highly complex queries that span different databases. Querying without needing to physically move the data saves a lot of time and resources. Review collected by and hosted on G2.com.

What do you dislike about Starburst?

While Starburst can be resource intensive with large or complex queries especially. Although it does well with data, when at peak usage, some queries might be slower to process or consume more resources than they should. By doing this however, we end up with delays, particularly when we want to be making analysis out of the real data in real time, or delivering insights immediately, which is very undesirable in a fast pace environment. Review collected by and hosted on G2.com.

MS
Maurice S.
Chief Data Officer
Internet
Small-Business (50 or fewer emp.)
"Now data workflows feel more streamlined and effective"
4/5
What do you like best about Starburst?

What I love about Starburst is how easy it is to query data across multiple data sources. Either way, we use it to run complex queries across our cloud data warehouses and on premises systems without having to think about the data silos. We’ve seen seamless integration with tools such as AWS Redshift and Google BigQuery which has meant our team can access and analyse data much quicker. More specifically, it is most useful for running analytics at scale to allow us to make data driven decisions faster. Review collected by and hosted on G2.com.

What do you dislike about Starburst?

Starburst’s one downside is that it doesn’t perform well for very large datasets. It does a great job most of the time, but if you have an unusually large dataset it can slow things down. It has meant that we’ve been unable to get real time insights on some of our more complex queries. This can be costly and time consuming to fix and is not good for businesses that run on tight budgets. Review collected by and hosted on G2.com.

Verified User in Consumer Goods
UC
Verified User in Consumer Goods
Enterprise (> 1000 emp.)
"Innovative, and high value adding product for all data users at scale."
5/5
What do you like best about Starburst?

The best part about starburst is the extensive documentation and support for the product itself. The number of features is also a plus and the frequent version updates to the product in general. The UI is very simple to use and easy to understand for the most part. Review collected by and hosted on G2.com.

What do you dislike about Starburst?

One thing I would suggest is for the UI to be more intuitive and more similar to snowflake when it comes to analyzing queries. I would suggest that when I look at a query, the breakdown of operations is more clear (aggregate time, sorting, creating the table, etc.) I would also with there was support for declaratively setting roles through terraform so that it is easier for us to maintain internally. Review collected by and hosted on G2.com.

Response from Lauren Kim of Starburst

Hi!

Thank you for your valuable feedback on Starburst. We're pleased that you find the documentation, support, features, and regular updates helpful. We appreciate your suggestions for improving the UI’s intuitiveness, especially for query analysis, and your idea for declarative role setting through Terraform. We’re committed to further enhancing your experience and supporting your continued success.

AL
Angela L.
Solutions Architect
Small-Business (50 or fewer emp.)
"Starburst works really well."
3.5/5
What do you like best about Starburst?

Great help, answers all questions, and responds quickly to first requests. Great product that meets practically all of our demands. Delivery was of good quality and extremely accurate. It needs to improve in a few areas, but nothing that discredits or leaves much to be desired. Review collected by and hosted on G2.com.

What do you dislike about Starburst?

We sometimes experienced delays in the ticket loop. Should make some aspects toggleable to increase flexibility. FTE, multi-tenant, and displaying query history on the console with statistics would be ideal. Review collected by and hosted on G2.com.

HH
Hilary H.
Senior operations analyst
Automotive
Small-Business (50 or fewer emp.)
"A versatile platform with robust query capabilities"
4/5
What do you like best about Starburst?

What I really like about Starburst is how much better it makes managing our scattered data. And we’ve integrated it with S3 and Snowflake to move data in a way that’s not manually moving data. This is incredibly user friendly, and enables us to run SQL queries with minimal hassle which saves us so much time. And just its broad feature set one in particular is that its real time queries ability also keeps our work flows efficient and responsive. Review collected by and hosted on G2.com.

What do you dislike about Starburst?

Starburst’s biggest drawback, for small teams that are scaling, is the cost. It’s also a little more technical to setup and configure than some teams have readily available expertise for. Some of our projects have slowed down due to these challenges as we become more dependent on IT help. While it’s well integrated it can be more complex from a technical perspective so onboarding new team members can take longer and be more difficult. Review collected by and hosted on G2.com.

Response from Lauren Kim of Starburst

Thank you for your feedback on Starburst. We're glad to hear that it has streamlined data management, saving you time through seamless integration with platforms like S3 and Snowflake, and enabling efficient SQL querying. We appreciate your insight on the cost and technical setup challenges for smaller teams, and will keep that in mind. We look forward to supporting your continued success.

JM
John M.
IT Contingency Planning Specialist
Computer Hardware
Small-Business (50 or fewer emp.)
"Simplifying complex data integration for faster insights"
4.5/5
What do you like best about Starburst?

My all time favorite thing about Starburst is its ability to rapidly query data from multiple sources. Through integration with tools like AWS, Google Cloud and Snowflake we can run complex queries without having to move the data around. Intuitive interface makes it easy for teammates of disparate technical levels to get going. This is fast – perfect for querying a huge dataset that has made our data analysis process very efficient. Review collected by and hosted on G2.com.

What do you dislike about Starburst?

Starburst is not without its flaws – it can take quite a while to learn during the setup phase making it a very steep learning curve. Everything needs to be configured correctly and it might be difficult for smaller teams to manage. Also its pricing tends to be difficult for smaller businesses with limited budgets since as the query volume increases, the costs rise further, rendering it less budget friendly for teams that want to scale cheaply. Review collected by and hosted on G2.com.

Response from Lauren Kim of Starburst

Thank you for your feedback on Starburst. We understand the challenges with the steep learning curve during setup and the pricing for smaller teams, and we appreciate your insights. It's great to hear that Starburst has simplified collaboration and enabled faster, data-driven decisions, contributing to a more productive workflow overall. We look forward to continuing to support your success.

KR
Kaur R.
Technology Solutions Architect
Information Technology and Services
Small-Business (50 or fewer emp.)
"Reliable performance for large-scale data management"
4.5/5
What do you like best about Starburst?

My favorite thing about Starburst is its awesomeness at querying data from multiple sources without having to move or transform data into a central repository. This saves us huge amounts of time and resources. It works with platforms like Tableau and Apache Kafka thus making our data visualization and real time analysis. We have been able to quick query large datasets with its efficient distributed query engine, increasing our team’s productivity. Review collected by and hosted on G2.com.

What do you dislike about Starburst?

A disadvantage of Starburst is that execution often requires resources in some cases it affects the general performance of the system particularly when retrieving data on large scale. This has caused some delay at times that hampers quick analysis primarily during high traffic usage occasions. Also, to set it up and fine tune it for sophisticated searches needed some real heavy work and knowledge, which could sometimes be a problem for teams without applied data scientists. Review collected by and hosted on G2.com.

Response from Lauren Kim of Starburst

Thank you for your feedback on Starburst. We're glad its ability to query data from multiple sources without moving it has saved you time and resources, and that its integration with Tableau and Apache Kafka has enhanced your team's productivity. We're also pleased to hear how Starburst has streamlined your workflow, reduced reporting time, and enabled faster, data-driven decisions. We look forward to supporting your continued success.

AB
Abhishek Singh B.
Senior Platform Engineer and Administrator
Enterprise (> 1000 emp.)
"The best distributed query engine for massive parallel processing across heterogeneous platforms' data."
4.5/5
What do you like best about Starburst?

Starburst Insight to monitor all the admin activities.

BIAC feature which helps us to completely move out from Ranger dependencies for access control mechanism.

Superfast for processing large HDFS datasets compared to all other available mediums like Hive engine, etc.

NoSQL databases can be read in an SQL manner which helps us to derive better reports.

Push-down enable/disable feature which helps to decide if workload should be executed at the Trino engine or host engine based on benchmark results.

Easy setup & upgrade.

Very easy to implement.

Easy to integrate with any THP (Third party tool).

Customer Support is very helpful and easily approachable. Review collected by and hosted on G2.com.

What do you dislike about Starburst?

The only thing I can think of regarding ETL-related data pipeline work execution is that it is still not very feasible in Starburst. Review collected by and hosted on G2.com.

Response from Lauren Kim of Starburst

Hi Abhishek!

Thank you for your detailed feedback on Starburst. We’re thrilled that features like Starburst Insights, BIAC, and the push-down enable/disable option have positively impacted your work. We appreciate your note on the ETL-related data pipeline execution and will consider it for future improvements. It's great to hear that migrating to Trino has enhanced your team's performance, reduced costs, and solved key challenges with HDFS data querying. We look forward to continuing to support your success.

CN
Cristian N.
Business Intelligence Developer
Internet
Small-Business (50 or fewer emp.)
"Powerful data querying across multiple platforms"
4.5/5
What do you like best about Starburst?

I really appreciate how Starburst keeps everything very simple to access and analyze data from all the different data sources and it’s all in real time. Integrating with cloud data warehouses like AWS Redshift and Google BigQuery means that we can work faster and can concentrate on figuring out insights rather than connecting. It enhanced our overall data, from the duplication to moving to data, and overall data workflow and productivity. Review collected by and hosted on G2.com.

What do you dislike about Starburst?

Starburst has great functionality and whilst lots of people find it helpful, it has some performance issues when dealing with very large datasets. And setting everything up was more complex a challenge than anticipated, especially so when I considered integrating all the data sources. Our analysis was slowed down by the fact that at times the software lagged when running complex queries. Also, it can sometimes be difficult to resolve performance issues if not someone with knowledge on the system. Review collected by and hosted on G2.com.

Response from Lauren Kim of Starburst

Thank you for your feedback on Starburst. We're glad its ability to simplify access to real-time data from multiple sources and cloud warehouses . We understand the challenges with performance on large datasets and the complexity of setup, especially during integration, and we appreciate your insights.

We're committed to improving these areas and are thrilled that Starburst has helped revolutionize your data processes, enabling more efficient workflows and smarter business decisions.

Verified User in Entertainment
UE
Verified User in Entertainment
Mid-Market (51-1000 emp.)
"More than meets the requirement"
4.5/5
What do you like best about Starburst?

Really appreciate the quick turnaround time for resolving any issues. Review collected by and hosted on G2.com.

What do you dislike about Starburst?

The pricing is much on the higher side. Plus when it comes to renewal the annual escalation is high. Review collected by and hosted on G2.com.

Pricing Insights

Averages based on real user reviews.

Time to Implement

4 months

Return on Investment

14 months

Average Discount

11%

Starburst Comparisons
Starburst Features
Real-Time Data Collection
Data Distribution
Data Lake
Spark Integration
Machine Scaling
Data Preparation
Spark Integration
Cloud Processing
Workload Processing