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This advanced query engine significantly improves data analysis
What do you like best about the product?
In my perspective, probably one of the potent aspects of Starburst is its powerful query engine since it offers broad queries for big streams of data and inquires from many sources. It has been quite useful to compile data from a number of data bases into one and easy to analyze from the same platform. Since it interconnects with data warehouses and BI tools, we can generate vast reports and analyses without moving much information. This has enhanced our decision making as well as operations in general.
What do you dislike about the product?
Starburst eliminates the issues associated with data discovery and management for large scale analytics and queries since it is a single platform that serves as a powerful data processing tool. It has been possible to create summative reports and analyses that would have otherwise required amalgamation of data across various systems. Consequently, our team can quickly make more effective decisions, thus improving the general team performance and strategy development.
What problems is the product solving and how is that benefiting you?
Starburst serves to fill the gap of data access and processing from multiple sources by offering a single complex data analysis solution. This capability has helped in creating greater reports and analysis that do not require the need to pull data from various systems. Therefore, the team can respond quickly to problems and opportunities and make more sound decisions, thus increasing organizational efficiency and effectiveness of the strategic management process.
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Unified data queries significantly enhanced our productivity
What do you like best about the product?
I think the most useful function of Starburst is its capacity to query several sources at once. What makes it stand out is that it excels particularly well with big data, which eventually allows for quicker processing. How it connects to other applications such as Tableau for dashboards and Apache Kafka for real time data feeding improves our total effectiveness. I have found this unified approach to data management as a marked improvement in our analytical functions.
What do you dislike about the product?
The main downside is that Starburst may become resource intensive, which results in some implications for performance with very large data sets. This can hamper our analysis and the overall productivity of the workflow. Furthermore, system setup and configuration is not very intuitive and this has made initial training time long for new users. Sometimes these issues have led to a decline in our productivity and more effort was needed to handle them.
What problems is the product solving and how is that benefiting you?
Starburst eliminates the challenge of dealing with an array of data sources and querying through unified software. This has helped us in analyzing our data in a faster way as we can now integrate datasets from different systems into one easily. In terms of benefits the unified approach has to offer, we have noted that it has enhanced our efficiency as more insights can be produced and more decisions made within less time. All in all, it has helped in improving the capacity to meet quick business needs and opportunities.
Complex queries aren't problem anymore
What do you like best about the product?
The most appealing aspect of Starburst in my opinion is the ability to have all the data in a single query layer. This makes its based on SQL interface ideal for complex query across numerous systems without overburdening by the data. I appreciate its ability to work alongside our current data structure, and the real time nature of the data obtained from it. This has improved the effectiveness of the analytical work we do and how we make decisions.
What do you dislike about the product?
Starburst is not as optimal as it could be when used on data sets of very large sizes. It is common for the query to be processed for more time than is desired by the user, a condition that affects the efficiency levels. Further, while the SQL interface is rich, novices will find difficulty in using it for they will have to learn SQL to perform operations. These have almost at one time given rise to problems that include latency and sometimes necessitated additional time to enhance query performance .
What problems is the product solving and how is that benefiting you?
Starburst is the solution to the problem of consolidation and all data from different sources into one convenient platform. This has been highly beneficial in the organization because it makes the querying and analysis of data from various systems easy. It has provided flexibility in terms of achieving greater productivity, faster and with better decision making by allowing real time data processing. It also decreases the required amount of data preparation, which helps us to concentrate on the analysis.
Efficient querying solution across multiple data sources
What do you like best about the product?
What I consider most impressive is the way Starburst can query data from multiple sources as long as it doesn’t have to move or duplicate them. Namely, it has helped to optimize our work process, providing better data processing from such sources as AWS S3 and PostgreSQL. The key enhancement offered by the software has been ability to handle complex queries and integrate well with the current data architecture, which has significantly boosted our ability to identify and use data analytics in decision making.
What do you dislike about the product?
One area that may be tricky in Starburst is the setup and configuration of the platform. While the platform is highly versatile, fine tuning how it interacts with different data sources can be surprisingly cumbersome at times. This has taken a lot of time to set up initially and has required a more technical team from us than we had anticipated. Moreover, inexperience is a concern that can result in a time consuming period before they can start contributing which has been an issue.
What problems is the product solving and how is that benefiting you?
Starburst helps solve the problem of data scattering because with it, one can query data from different sources while the sources do not have to be incorporated into a single database. This capability has rectified one of the biggest limitations we used to have in terms of real time data access and analysis. It has streamlined the process, reduced the amount of time spent on data preprocessing and let’s concentrate on analysis and decision making. Thus, the operation has become increasingly more impersonal and based on received information.
Best distributed query engine for massive parallel processing for heterogenous platforms data
What do you like best about the product?
Starburst Insight to monitor all the admin activities.
BIAC feature which help us to completely move out from Ranger dependecies for access control mechanism.
Superfast for processing large HDFS datasets as compare to all other avaialble mediums like Hive engine etc.
Nosql databases can be read in SQL manner which help us to derive better report.
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.
BIAC feature which help us to completely move out from Ranger dependecies for access control mechanism.
Superfast for processing large HDFS datasets as compare to all other avaialble mediums like Hive engine etc.
Nosql databases can be read in SQL manner which help us to derive better report.
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.
What do you dislike about the product?
Only thing I can think of ETL related data pipelines work execution , it is still not that much feasible in Starburst.
What problems is the product solving and how is that benefiting you?
EDL users are happy after migrating from hive engine to trino engine due to good performance. HDFS data querying was biggest problem for existing users which trino has solved.
As we can connect hetergenous data platform using trino to perform analytics , and due to this feature , data movement and data engineering costs have gone down signficantly.
As we can connect hetergenous data platform using trino to perform analytics , and due to this feature , data movement and data engineering costs have gone down signficantly.
Experience as starburst admin
What do you like best about the product?
Ease of Use
Number of Features
Ease of Implementation
Customer Support
Number of Features
Ease of Implementation
Customer Support
What do you dislike about the product?
No alerting features in starburst for memory , cpu, execution time etc
What problems is the product solving and how is that benefiting you?
Starburst is facilitating users/system to connect to data sources/data ware houses in a seamless ways so that they can do big query analytics without issues.
We finally found a way to improve data processes and decision making in our company
What do you like best about the product?
What I like most about Starburst is that it assimilates well with tools like Tableau and AWS S3 to perform queries on data without any hindrance. In this case, it is very friendly to use and hence, does not cause a difficulty when dealing with large datasets. Starburst is wonderful because it enables me to query other sources while still being at the data, no more moving the data around all the time! I especially like the functionality of dealing with different kinds of data, which definitely makes the work of my team more effective.
What do you dislike about the product?
A drawback of Starburst is the complex setup that can be technically challenging, especially if the team tries to implement it in systems that do not allow it easily. There were certain challenges that we experienced during the implementation process and this hampered our schedule a little. Moreover, the reaction of customer support was not as fast as we expected, which made the problem solving stage longer than it could be. Some of these issues caused some frustration, especially when we were still setting up the various software solutions.
What problems is the product solving and how is that benefiting you?
Starburst solves the problem of working with data in different sources without having to physically move the data, which has been a significant boost in our data handling processes. This has been of benefit to our team as it has reduced the time spent in data management and we are left with the analysis part. Its simple and many functions enable us collect information fast and thus work more effectively and make better decisions.
A true game changer for many data querying processes
What do you like best about the product?
One point worth considering is that Starburst is designed to work with various data sources which means that data processing is a lot easier. The plethora of features it has especially on querying large is quite helpful in enhancing our work progression. We have connected it to other applications such as our BI tools and the data lake and no problems have arisen from it. This integration capability is a game changer because it eliminates the difficulty in managing data from multiple sources thus enhancing our workflow.
What do you dislike about the product?
Overall, the main drawback of Starburst is that it is not very easy to set up, particularly for first time users. This resulted in some discrepancies in our work schedule as we anticipated in our project plan. Furthermore, owing to our rarity in its application, it took extra time to familiarise ourselves with it. The customer support is also not up to the mark at some times, they take more time to reply and on occasions this delay has messed up our working schedule as we needed immediate help.
What problems is the product solving and how is that benefiting you?
It has been advantageous for Starburst to revolutionize the case of managing data across multiple sources. Before, on the other hand, acquiring data was quite a task and made our operations very slow. Now with Starburst, I can query the data from different platforms without moving and this has enhanced our working rate and decision making processes. Besides, it has positively influenced our team’s efficiency and helped to prioritize more important strategies rather than spending time on such matters as data processing.
Starburst - A best of breed Data Lakehouse
What do you like best about the product?
Starburst has been a much needed upgrade from our opensource presto and CDH approach for our Data Lake and Lakehouse needs. Our vendor experience with Starburst has been top notch, with their exceptional architects working hand in hand with us throughout the process. They have been willing to address new feature requests and even turn them around very quickly. They have been a great partner willing to take our inputs to their product roadmap and have executed flawlessly for the past 5 years that we have worked with them. Their user friendly interface has constantly had new upgrades all the time and a great hit with our customer base.
What do you dislike about the product?
Starburst is a niche player in the Datalakehouse space and while they are a connector company and work with other products in the ecosystem, we wish they were a player that brings the same high standards to other areas of the data ecosystem.
What problems is the product solving and how is that benefiting you?
Starburst has helped us roll out our Data Lake to a larger audience , due to the ease of access, while still allowing the fine grain access control that our company demands.
We fixed many issues with efficient data access and querying solution
What do you like best about the product?
I personally favor Starburst for its enhancement on the query aspect and the numerous features it brings to the table. The ability to work with several sources at once is very useful and simplifies the process of querying data a lot. It has many features and I like that I can always get help from customer support when I need something explained to me. It has only been used more frequenlty in our team due the reliable and fast results it produces making it one of the most useful tools in the team.
What do you dislike about the product?
The one thing that I do not like with regards to Starburst is the fact that its interfaces are very confusing. Many of its features are not immediately obvious and can be confusing to a new user, therefore, making it take a steep learning curve. These make our onboarding time consuming occasionally leading to usage blunders. In addition, documentation is not as detailed as they ought to be, making it hard to address problems as soon as possible. These problems contribute to the decreased productivity and longer time taken to train new employees.
What problems is the product solving and how is that benefiting you?
Starburst addresses the problem of organizing data available from various sources and querying them. Indeed it has eased our working by providing insights which enable us to make good decisions within shorter time. To me and my colleagues, it translates as less time on waiting for data and more time conducting data analysis. This efficiency helps us in managing our projects better and complete our work in the time that is set for it. The compatibility with other software creates a strong and well coordinated environment in data processes.
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