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Smooth migration. Great performance and cost efficiencies
What do you like best about the product?
We migrated to Galaxy to improve the performance of our dashboards. We had a very smooth migration to Galaxy, with excellent help from SB solution engineers. All in all, Galaxy showed out-of-the-box high performance, allowing us to generate insights more quickly and make data-driven decisions faster, and tremendous cost efficiencies
What do you dislike about the product?
I think that the user interface of the cluster can still improve in terms of its stability and convenience, and more configuration options can be added to the admin screen.
What problems is the product solving and how is that benefiting you?
In addition to the smooth migration process, we have seen significant query cost savings since moving to Galaxy. Trino's query engine is highly optimized for complex analytical queries, allowing us to run queries more efficiently and with fewer resources. As a result, we have reduced our query costs by a significant amount, which has been a major benefit for our company. Since migrating to Galaxy, we have seen a significant improvement in query performance. With Trino's distributed architecture and parallel processing capabilities, we can run queries much faster than we were able to with our previous data warehouse solution. This has allowed us to generate insights and make data-driven decisions more quickly, which has been a massive advantage for our business.
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Our data, previously difficult to work with, feels unlocked
What do you like best about the product?
1. Seamless querying across databases, even of different types.
2. Transparent troubleshooting.
3. Built on top of open source software. Makes troubleshooting easier!
2. Transparent troubleshooting.
3. Built on top of open source software. Makes troubleshooting easier!
What do you dislike about the product?
Only nitpicky things here, like lack of autocomplete in the UI. Also, using the same Hive metastore across multiple catalogs results in all of those catalogs showing every schema in the metastore in every catalog that uses it. Would be nice to filter those.
What problems is the product solving and how is that benefiting you?
Like I said in the beginning, it feels like we have unlocked our data for our data analysts and anyone at the organization that needs to get to some data that was previously difficult to access. Being able to query across several databases of different types is incredible and working seamlessly. Hard to imagine working without it at this point.
Implementing Starburst within a Lakehouse Architecture
What do you like best about the product?
Starburst is great for acting as a Data Federation Hub. It is simple to configure new connectors and getting those up and running very quickly.
Starburst integration and acceleration of iceberg based data in S3 was the key selling point for us. Enabling our vision of a Lakehouse based on AWS .
Starburst integration and acceleration of iceberg based data in S3 was the key selling point for us. Enabling our vision of a Lakehouse based on AWS .
What do you dislike about the product?
The public facing documentation does not quite cover all the nuances of installation and configuration. We encounter a couple of scenarios where the documentation didn't go far enough with instructions. However, the account team were able to fill in the gaps.
What problems is the product solving and how is that benefiting you?
Our challenge was allowing a single interface for data consumers and production processes to query across our established data warehouse and our lakehouse. Allowing us to link data that could not be linked before.
Ingest and Act on Data Faster
What do you like best about the product?
Starburst has empowered our team to take large data sets and really understand how those datasets will optimize our business model. Starburst has a UI that makes this process both easy and seamless as well.
What do you dislike about the product?
While Starburst's concept offers a straightforward approach toward obtaining helpful data in an ingestible way, at times the connectors/integrations do not work as expected.
What problems is the product solving and how is that benefiting you?
For our team, we encounter large lead lists and analytics on performances by our teams, partners, and affiliates. Starburst allows us to identify areas of both strength and weakness that we previously would spend hours sifting through to understand.
I have 15+ experience in Database admin
What do you like best about the product?
Connecting to the Multiple sources and Retrieving the Data
What do you dislike about the product?
Modifying the Query function and Hive Queries
What problems is the product solving and how is that benefiting you?
We are tested using Starburst in Data factory , on one linked service , For Data Comparision it is very easy
Great Product
What do you like best about the product?
We have found that Starburst Enterprise is very easy to deploy, use and administer. The tool has many connectors and can run queries across multiple data sources which power all our ad-hoc analyses from various teams. The support systems are very helpful and the case response time is quite low and resulting in faster resolution.
What do you dislike about the product?
We ran into issues during the upgrade due to some undocumented breaking changes that affected our timelines. Maybe a way to administer adding or removing data catalogs without restarting the cluster.
What problems is the product solving and how is that benefiting you?
Enterprise connectors allow us to easily connect legacy source systems to our modern ones. Starburst Support is extremely helpful and knowledgeable with very technical questions Starburst product features continue to impress, such as Insights and Galaxy, and the integration capabilities are very strong
Starburst helped scale Meesho's workload
What do you like best about the product?
Technology, continious improvement on projects. New features, good support from RSA and customer excellence team, solutioning from RSA and helping with the meesho scale
What do you dislike about the product?
billing transparency, usage analysis and more recommendations towards query improvement
What problems is the product solving and how is that benefiting you?
ETL and dashboarding solutions. real time processing, reverse etl
Good product
this product was very powerful. very fast query engine for our data warehouse, accelerate our analysis journey from very beginning.
I am data Engineering Manager and our team heavily used this tool to meet our business needs
What do you like best about the product?
the features supported and Documentation is very detailed and easy to follow-up
What do you dislike about the product?
Some Error messages are not very clear when we try to integrate with hive database
What problems is the product solving and how is that benefiting you?
they connect with us regularly and collecting the logs and assigning a dedicated technical resource is very helpful for us to get a quick turnaround
Recommendations to others considering the product:
Highly recommend this tool to other teams and other companies
Zalando is a very happy customer of Starburst Enterprise for the last 3 years
What do you like best about the product?
We have found that Starburst Enterprise that is built on the open source Trino project is very easy to use and administer. The default setup and the fact that SEP is choosing the right JVM and cluster configuration based on the hardware setup we use automatically makes it very easy to use for our workload and has very high performance. The response times of the support cases are very low and result fast in resolution. For critical issues, we can get support from the Trino contributors
What do you dislike about the product?
release management is lacking. We were hit by some undocumented breaking changes in the Trino open source project and Starburst Enterprise deployment model that affected our timelines in the past.
What problems is the product solving and how is that benefiting you?
Starburst powers the serving layer of Zalando's data lake on S3. We have more than thousand internal users and 100s of applications using Starburst daily, running 30k+ queries that are processing half a petabyte per day. Starburst is connected to many different BI tools that power dashboards and drive Zalando's business and internal KPIs
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