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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.
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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.
Discover the ultimate solution for data querying
What do you like best about the product?
One thing that strikes me about Starburst is that it can issue queries across many different sources of data quickly without having to stream the data about. This has reduced my time to prepare the data and our efficiency has improved greatly as a result. Besides, the customer support is great, they are always available when we have issues. The software work is rather efficient and is not fraught with failures or crashes, thus, our tasks are solved effectively.
What do you dislike about the product?
One disadvantage apparent with Starburst is that, it is quite complex to set up and this needed a lot of time and technicality to accomplish. This affected us in the sense that it slowed down our productivity especially in starting the activities of the day. Furthermore, the large number of features is a bit challenging for newcomers and may increase the time learners need to understand the product fully. These challenges we identified delayed our first implementation and training cycles.
What problems is the product solving and how is that benefiting you?
Starburst makes the challenge of data fragmentation easier to address because we are able to query the data across different sources and types without the need to move the data. This has enhanced the data availability and also cut the time taken in data integration mechanism drastically. Besides, it adds value to our team since there is an opportunity to perform analyses and provide reports that contribute to faster decision making.
Finally we improved data integration and analysis in our company
What do you like best about the product?
Starburst outperforms when it comes to the compatibility that has made it easy to fit in our current data ecosystem, Apache Kafka, and AWS S3. It has an easy to use SQL front end that makes searching multiple data sets possible even for those who do not have a database background. Also, its high performance guarantees a fast connection to vast amounts of data, needed for analytics, to us. These capabilities greatly improve our ability to extract insights for decision making that is valuable for the business.
What do you dislike about the product?
The only issue that I have with Starburst is that traffic can cause the system to slow down, somewhat annoying to me. Also, the reply to the customer support is not always immediate, which may prove to be a bother at some point. These weaknesses have every now and then led to time overruns and have to some extent affected our productivity in that they have put a lot of strain on our ability to meet our deadlines.
What problems is the product solving and how is that benefiting you?
Multiple issue for querying data is very well handled by Starburst and this is because it addresses the issue of querying data with multiple sources. It helps to define a working flow of data analytics when used in connection with Apache Kafka and AWS S3. It improves the decision making capability not only through timely intelligence but also increases efficiency in the sense of eliminating time taken in data preparation. Taking into account the nature of Starburst in general, the organization has revolutionized the culture of data analysis with a focus on flexibility and demand from businesses.
Now our management of complex queries is super simple!
What do you like best about the product?
The most valuable use of Starburst for our team is the centralization of different data sources to combine them in one place to execute queries. This consolidation has clearly eradicated the problem of having to deal with numerous data store houses and has made our analytical exercises easy and effective. There is seamless compatibility of this tool with other business inteligence tools we are already using in our organization, thus we were able to refine our other applications. These improvements have been made possible by the harmonious integration of these separated processes.
What do you dislike about the product?
The only issue I have with Starburst is the latency that comes with it especially when working with big data. Such a delay can compromise our data analysis processes and decrease the business’s operational productivity. However, it should also be mentioned that the initial setup process was long and required a lot of efforts and deep technical knowledge. Such difficulties have at times required delaying certain projects thus making it hard to stick to strict timelines.
What problems is the product solving and how is that benefiting you?
Overall, I have found Starburst as a perfect fit to address our data fragmentation issues since I don’t have to replicate data into my data marts before querying them. It has enhanced the automation of our data collection process and analysis which has made it easier to make better decisions in a shorter time. Incorporation with some of our previous tools has enhanced our working efficiency by providing an idea about our data as a whole, which was very challenging to consider beforehand.
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