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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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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.
One of the best product & outstanding service
What do you like best about the product?
Easy to implement, great productivity. Starburst team's support is amazing.
They take all our feedback seriously and try to incorporate the required features in the future releases.
Simplifies lot of our business problems.
One of the key component for data federation in our Data Mesh architecture.
They take all our feedback seriously and try to incorporate the required features in the future releases.
Simplifies lot of our business problems.
One of the key component for data federation in our Data Mesh architecture.
What do you dislike about the product?
Nothing. Great experience so far. Thank you!
What problems is the product solving and how is that benefiting you?
We follow the data mesh architecture with datahubs specific to each Domain. Staurburt Trino is used as the data federation layer on top of all the datahubs to build business insights & make faster decisions.
Innovative, and high value adding product for all data users at scale.
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
The problem we see a lot is migrating data between data warehouses and this is where most of the value add is. This helps save immesne time plus costs on our end of migrating data. For example a use case may be bringing SAP data into Google BigQuery.
No more waiting for a pixels dry!
What do you like best about the product?
Starburst leverages the power of Trino to offer a high-performance and scalable SQL query engine that has significantly optimized our data analysis and business intelligence operations. The application excels in its ability to perform fast analytics across various data sources without the need for migration, providing a seamless and unified querying layer.
**What I like best:**
1. **Federated Queries:** Starburst's federated querying capability is a game-changer. It allows us to query data across different sources such as Hadoop, S3, or even relational databases like MySQL, and PostgreSQL, with ease. This means there’s no need for complex ETL processes to move data around, saving time and reducing the risk of errors.
2. **Performance Enhancements:** Starburst provides additional performance enhancements over Trino's already fast query engine. It optimizes query execution to minimize latency and maximize efficiency, which is vital for our large datasets and complex queries.
3. **Security Features:** Enterprise-grade security is another standout feature. Starburst provides added layers of protection including data encryption, access controls, and integration with our existing security systems. This ensures our data is not only quickly accessible but also secure.
4. **Scalability:** The scalability of Starburst is impressive. As our data demands grow, Starburst scales with us, ensuring that our analytical capabilities can keep pace with our expanding data footprint without degradation in performance.
5. **Professional Support and Services:** Access to professional support and services ensures that any issues are promptly addressed, and we can also optimize our usage of Starburst with expert guidance.
In conclusion, Starburst provides a robust solution for organizations looking to harness the full power of Trino with additional enterprise capabilities. Its ability to query across various data sources efficiently, enhanced performance, and strong security measures make it an invaluable tool for any data-driven enterprise.
**What I like best:**
1. **Federated Queries:** Starburst's federated querying capability is a game-changer. It allows us to query data across different sources such as Hadoop, S3, or even relational databases like MySQL, and PostgreSQL, with ease. This means there’s no need for complex ETL processes to move data around, saving time and reducing the risk of errors.
2. **Performance Enhancements:** Starburst provides additional performance enhancements over Trino's already fast query engine. It optimizes query execution to minimize latency and maximize efficiency, which is vital for our large datasets and complex queries.
3. **Security Features:** Enterprise-grade security is another standout feature. Starburst provides added layers of protection including data encryption, access controls, and integration with our existing security systems. This ensures our data is not only quickly accessible but also secure.
4. **Scalability:** The scalability of Starburst is impressive. As our data demands grow, Starburst scales with us, ensuring that our analytical capabilities can keep pace with our expanding data footprint without degradation in performance.
5. **Professional Support and Services:** Access to professional support and services ensures that any issues are promptly addressed, and we can also optimize our usage of Starburst with expert guidance.
In conclusion, Starburst provides a robust solution for organizations looking to harness the full power of Trino with additional enterprise capabilities. Its ability to query across various data sources efficiently, enhanced performance, and strong security measures make it an invaluable tool for any data-driven enterprise.
What do you dislike about the product?
Every time customer adds data source application needs to be rebuilt. It takes time and effort like change control in financial instituion. We need ability to add data soures from UI.
What problems is the product solving and how is that benefiting you?
Speeding up database calls.
The best ever data lake analytics platform to discover, organize, consume data & data processing.
What do you like best about the product?
In starburst we can be able to understand the memory usage, CPU usage, Top Users and total number of failed and succeeded queries using the graphical view at the same time, easy to use tool for data analytics, data engineering, data science. although we can use cloud storage utilization to provide elasticity. it provide fastetst & efficient analytic engine for data warehouse, data lake, data mesh. can also check the queries details according to the date wise – where we can see the cluster size, memory, CPU usage and queued queries.
What do you dislike about the product?
Charges applies high but the product is good, I've never seen any drawbacks till now since i'm using in my current project in Gilead.
What problems is the product solving and how is that benefiting you?
Sometime if i'm querying for lacks of data it hits me an error, sometime URL's doesn't work, however we get support team immedeatly to sort out the issue in Dev, Test, Production environment quickly but it often happes twice or trice in a month, should be improved.
Starburst is the best tool to reach data products across our organization
What do you like best about the product?
Starburts allows us to reach data products across our organization and join data from different data sources easily.
Starburst is constantly improving the product and is a company that listens to client requests.
Starburst is constantly improving the product and is a company that listens to client requests.
What do you dislike about the product?
The resilience of workers can be improved, support for more ranger policy templates like ADLS, improvement of push down queries mechanisms that sometimes cause huge network traffic bringing data to Starburst and the query could be performed at datasource level (same catalog and database).
What problems is the product solving and how is that benefiting you?
To centralize the data products access in one single point and starburst is the tool chosen by us to that.
Good query engine, but be aware of the pricing model
What do you like best about the product?
- Good UI
- Diverse set of connectors
- Good query usage logs
- Decent user attribution to those queries
- Good Support Experience
- Diverse set of connectors
- Good query usage logs
- Decent user attribution to those queries
- Good Support Experience
What do you dislike about the product?
Pricing model that aside from charging for the license, we also need to pay for the provided CPU hour.
This feels like a double charge taking into account that I'm already paying for that infrastrustructure on my cloud provider, specially taking into account that we have to fully manage our infrastructure and their support will not help us on this side.
This feels like a double charge taking into account that I'm already paying for that infrastrustructure on my cloud provider, specially taking into account that we have to fully manage our infrastructure and their support will not help us on this side.
What problems is the product solving and how is that benefiting you?
- It's our Data Mesh main query engine.
- We use it to access data from different raw sources (S3 + Glue, RDBMS) and even different cloud providers like GCP
- Removing some of the cognitive load of running Trino OpenSource on EKS
- We use it to access data from different raw sources (S3 + Glue, RDBMS) and even different cloud providers like GCP
- Removing some of the cognitive load of running Trino OpenSource on EKS
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