Starburst Galaxy
StarburstExternal reviews
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Starburst Enterprise deployment
What do you like best about the product?
Starburst improve the response time and incorporated AI/ML capability.
What do you dislike about the product?
My previous comment still stands. In addition, while Starburst has improved response time, certain connectors, like SQL Server, is single-threaded so the performance is lacking in comparison to other connectors that can do parallelization.
What problems is the product solving and how is that benefiting you?
Our big data environment is slow and Hive performance is inadequate. Starburst speeds up the query speed for our customer base (>100 analysts) up to 80% and also allow customers to perform cross-platform queries (Big Data and SQL Server) together without having to copy data.
Data Mesh / Data Virtualization Realized
What do you like best about the product?
Starburst Data Enterprise Trino is a solid solution to enable ad-hoc analytics and cross-platform data join capabilities. It supports both on-premise and the cloud, dozens of connectors, and levels the playing field for folks looking to work with Big Data (without being a Big Data engineer!). It's simple and easy to use, with most folks able to jump right in with high school-level knowledge of ANSI SQL. Performance meets or exceeds most expectations, and we see significant performance gains over technologies like Apache Hive for querying time and efficiency.
What do you dislike about the product?
There's not much to dislike here. On a rare occasion, you may run into "bleeding edge" issues and need to wait (usually not too long) for edge cases to be addressed.
What problems is the product solving and how is that benefiting you?
I'm currently using Starburst to make it easier for users to perform cross-platform joins (between data types/technologies), lower the barriers to entry for data exploration, support production-grade ad-hoc analytics, and move in the direction of a data mesh architecture. We have realized benefits in the form of faster processing times, reduced data transfer over the network, and reduced data duplication/storage, resulting in both cost and time savings.
One of the most reliable and convenient analytics engine!
What do you like best about the product?
The best part is that it is fast, reliable and open sourced. Starburst Presto is very good for parallel processing, and maintains performance even when a lot of people are simultaneously using it.
What do you dislike about the product?
Documentation can be slightly improved for a new user.
What problems is the product solving and how is that benefiting you?
It helps us do cutting edge analytics to understand user behavior on our platform, to design tailored experiences for our users.
great features to work with multiple data sources , easy to deploy on AWS / GCP using kubernetes
What do you like best about the product?
starburst presto has very good performance for short running queries ex queries taking 3-5 minutes so for dashboarding this is the go-to choice &
good performance with the delta connector in SEP 370 + compared to the previous versions, Insights Query editor IDE, reduction in query planning time
good performance with the delta connector in SEP 370 + compared to the previous versions, Insights Query editor IDE, reduction in query planning time
What do you dislike about the product?
there are some initial hiccups when getting started with a new cloud ex GCP , like applying the license which increases the overall time needed to get started to any developments
What problems is the product solving and how is that benefiting you?
we are able to easily run 100000 dashboarding + adhoc queries without scaling up the cluster , by using a combination of new performance feature from latest presto version & caching at bi tool
due to faster runtime presto is the first choice for our end users
due to faster runtime presto is the first choice for our end users
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