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Reliable performance for large-scale data management
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
Starburst solves the problem of stored data being in silos by making available to us the ability to access and query information within different data sources without doing complex ETL. They’ve certainly greatly benefitted our workflow by offering fast and unified insights, and thus faster data driven decisions. It has given our teams the ability to work more effectively, minimises reliance on centrally maintained data warehouses and shortened our reporting time, reducing our overall operational efficiency.
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Powerful data querying across multiple platforms
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
Starburst eliminates the problem of scattered data and slow data search over different platforms. Centralized data queries eliminate data transfers or replication and allows by means of it. What that has accomplished is slipped data analysis into our workflows, freeing up more time for us as a team to work on actionable insights. The business has been revolutionized by our ability to easily gain access and analyse data from a multitude of sources and implement a decision.
Really powerful analytics for large datasets
What do you like best about the product?
The thing that stands out about Starburst for me is how it enables querying of large datasets across all platforms, with no need for data movement. This makes analytics on distributed data sources so much quicker. I find it very convenient that is connects seamlessly to our data warehouses, and allows to extract data from different systems to analyse. The ability to work with queries of any complexity has made it a core tool for our analytics.
What do you dislike about the product?
In my view, Starburst has a major drawback - it is complicated when you are first launching it. The adoption of the architecture can be challenging, especially for organizations’ whose teams are not conversant with distributed data systems. Furthermore, it gives relatively slow results if many users simultaneously perform computations, and we have experienced lateness in the processing of numerous important inquiries. This has also hindered decision making in some ways over the years particularly when the organisation is trying to adopt a new data source urgently.
What problems is the product solving and how is that benefiting you?
The primary pain Starburst helps to address is the existence of data distributed across different platforms which must first be joined to perform analyses on. The greatest improvement we achieve with Starburst is in query flexibility, which eliminates the need to perform several requests to multiple systems at once, thereby reducing infrastructure costs. To relate the improvements in the decision making process and how it has supported team work through the simplification of access to information and increment in the precision in our analytical work.
Great reliable solution for handling complex data queries
What do you like best about the product?
For me, what makes Starburst unique is that it runs large analytical queries from multiple data platforms with no performance penalty. It is relatively easy to integrate work with other programs, such as Power BI and Tableau, and that saves time on implementation of tools. Consequently, due to the numerous features that make it easy to use, we do not have to necessarily use other tools frequently in my line of work to realize how much it improves our data processes.
What do you dislike about the product?
I do not like that at times Starburst is costly and this may be problematic for a small team or business. The software is capable of producing simple and effectively outstanding features with no additional cost, but this utility can be difficult to market when you are not operating on a large scale. This changed our budget, and we had to wonder if we could still use it as a long term solution. On the plus side it has loads of features for the price, but which makes it unsuitable for smaller applications.
What problems is the product solving and how is that benefiting you?
Starburst solves the problem of having to work with many data sources individually yet interrupts all this with the power of all in one without having to integrate them manually. It helps to simplify our work and makes the analysis faster. It has improved productivity because we do not spend time transferring between applications, and our work partners can quickly obtain important information and make more precise business decisions.
Efficient solution for data queries across multiple sources
What do you like best about the product?
When it comes to what I like most about Starburst, I believe that one of the greatest benefits is the ability to run highly complicated queries on many data sources simultaneously, and the fact that it can do it without having to shuffle the information. This makes our analysis work much easier. Integrating with reporting tools like Tableau improves our reporting by adding rich visualization on top of the provided data. The ability to quickly and effectively process complex questions further enhances the value of detailed data analysis.
What do you dislike about the product?
The only issue that may be associated with using Starburst is the relatively high cost structure that may not be sustainable for teams and businesses of a moderate size. Due to this, it becomes quite challenging to justify the cost against the benefits that come with using this device. Additionally, although it is robust in many ways, there is always the issue of slow query speed when dealing with very large datasets. This occasional lag can cause havoc for data analysis and decrease the overall efficiency.
What problems is the product solving and how is that benefiting you?
Starburst has revolutionized the manner in which I am able to process data from various sources as an organization. Before, consolidation of data was time consuming but today the queries that would have taken a lot of time can easily be run across different databases. It has enhanced effectiveness and expedited decision making. Another advantage that has emerged from interconnection with BI tools for additional reporting is the enhanced refinement of the strategic plans and analyses of data.
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.
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.
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