Starburst Reviews & Product Details

Starburst demonstrates outstanding capabilities for retrieving data from multiple different sources. As part of a project I needed to assess sales records stored across three separate databases. Through Starburst I was able to execute multi database queries so I avoided spending one full day conducting the work. The outstanding security protocols of the platform bring reliability during the handling of critical data. Our daily operations thrive from automatic data encryption combined with user authentication features. Review collected by and hosted on G2.com.

Unfortunately, one thing that can be a little frustrating on Starburst is closing the query window before saving your work. If there was an auto save feature for this it would be great. One issue is that very complex queries sometimes bogs down the system, and there are some performance problems here and there. Take for example, I sometimes had a query that needed to be run, and it took over 10 minutes to complete, that was a pain. Review collected by and hosted on G2.com.

I like to see how Starburst makes it easier to link disparate data sets. Despite this, it keeps working, running smoothly, and maintaining standard and precision in every organization even when dealing with different environments. The use of research has helped in minimizing the risks posed by incomplete and other mismatched data results. The flexibility it has shown in dealing with the different types of queries it receives has helped minimize on overly complicated intra-functional work flows while directing more effort to the production of relevant results. Review collected by and hosted on G2.com.

One major inconvenience of Starburst is that during heavily utilized periods, when executing complicated queries, it draws a rather large number of resources, and hence can be slow. Because fixing these queries involves some high level of technical experience, the problem solving would take a lot of time consuming time than required hence the disruption of the normal working progress hence affecting time bound projects that would be very crucial in the achievement of business objectives. Review collected by and hosted on G2.com.

The thing that I like most about Starburst is that it gives you instant access to all kinds of data across all sorts of places without ever needing to move the data physically. The ability for us to pull insights directly from where the data lives greatly benefits our workflow. By not having to manually collect, transfer, or aggregate data before using it, we’ve been able to streamline our processes and save us a lot of very valuable time. Review collected by and hosted on G2.com.

In sum there are many good things with Starburst search engine but it is not always suitable for task of executing very specific, detailed questions. In some cases when a certain level of depth or specificity is required for business operations we have had to turn to other tools. Sometimes this longer process can be quite bothersome, especially when one has to shift between the tools for the purpose of the different interfaces. Review collected by and hosted on G2.com.

I like Starburst to be able to let us query data from various sources but we don’t need to bring everything into one central database. It doesn’t matter it is AWS, Snowflake or other data platforms as we can work with data from multiple systems simultaneously. It saves ourselves from the extra steps like data transformation or migration and makes us to focus on what we should and actually need to do. It’s a big time saver and it makes it easier to streamline the processes. Review collected by and hosted on G2.com.

The problem with Starburst is permissions and access control across multiple data sources. There’s no central place to manage the permissions of all platforms. And each system has its own security protocols. The simple implication is that there’s a lot of elements we have to log into separately to make the changes that we need to. It’s an extra step that can throw off workflow, and especially when working on several platforms, with different user access needs. Review collected by and hosted on G2.com.

I enjoy most about Starburst the ability to increase the overall speed and accuracy of how we retrieve our data. The platform ensures that whatever we're looking for pulls up instantly, and correctly. With this efficiency, my team has more time to actually thing about a problem instead of wasting time browsing for data. We’ve found it very smooth on the data management side, making our processes much smoother, and bringing a lot more productivity to them. Review collected by and hosted on G2.com.

Starburst is a challenge if you have a lot of users, and a lot of them are accessing it at the same time - it can become slow. However, there is a occasional lag disorientating on workflow mostly when we are about to have access to the data quickly. The platform is too unstable during peak periods. It happens when we can’t do things on time, and when we can’t, we need to start over with deadlines. Review collected by and hosted on G2.com.

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.

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.

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.

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.

We originally had our data lake built on a Hive engine. One of the tings we like about Starburst Enterprise is the improvement it provided to our consumers by providing a powerful distributed SQL query engine built on a Trino engine, allowing fast querying across diverse data sources.

We also shifted away from an Enterprise Data Lake secured Privacera Ranger to a Data Mesh architecture governed by AWS Lake Formation. From a business and customer support perspective, Starburst were attentive to our technical/business requirements, feature requests, etc. Review collected by and hosted on G2.com.

One area of improvement for Starburst is to consider the rollout of GA features after undergoing somewhat further rigorous/comprehensive use case testing. Or alternatively, perhaps be more mindful with the language of GA vs Public Preview vs Private Preview. Review collected by and hosted on G2.com.

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.

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.

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.

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.