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Welcome to the Data Mesh
What do you like best about the product?
The ability to tap any database or directly the data lake through a hyper optimized SQL Engine.
What do you dislike about the product?
Very little to dislike. I dislike questions asking me to dislike?
What problems is the product solving and how is that benefiting you?
Building Scalable Data Products based on Delta Lake.
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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.
New generation product to run your queries across multiple databases
What do you like best about the product?
Starburst can run queries across multiple data sources; it can add nodes as workers if you run more prolonged and intense queries. Also, it supports all the new state-of-the-art cloud data sources. It provides out-of-the-box support for all the traditional data sources as well.
What do you dislike about the product?
After adding a new catalog, it needs to be restarted. Starburst can provide APIs to add/remove catalogs.
I would love to see more SaaS offerings from Starburst. Also, there're more presto flavor options from Ahaha or Athena, we'd need to know the USP for Starburst.
I would love to see more SaaS offerings from Starburst. Also, there're more presto flavor options from Ahaha or Athena, we'd need to know the USP for Starburst.
What problems is the product solving and how is that benefiting you?
Starburst solves the problem of querying heterogeneous databases spread across multiple distributed systems. It presents these data sources as a single database, and querying across is easier.
Recommendations to others considering the product:
Starburst's SaaS offering is promising. But you can look at - 1. Athena from AWS - is pretty solid. But limited Databases suport.
2. Ahana, I haven't used it but its similar to starburst.
2. Ahana, I haven't used it but its similar to starburst.
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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