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Starburst Enterprise

Starburst | Starburst Enterprise 380-e.3

Linux/Unix, Amazon Linux Amazon Linux 2 - 64-bit Amazon Machine Image (AMI)

Reviews from AWS Marketplace

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External reviews

14 reviews
from G2

External reviews are not included in the AWS star rating for the product.


    Himangshu D.

New generation product to run your queries across multiple databases

  • February 09, 2022
  • Review verified by G2

What do you like best?
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?
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.
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.


    Bryan A.

Data Mesh / Data Virtualization Realized

  • January 04, 2022
  • Review provided by G2

What do you like best?
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?
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.


    Insurance

Welcome to the Data Mesh

  • December 18, 2021
  • Review verified by G2

What do you like best?
The ability to tap any database or directly the data lake through a hyper optimized SQL Engine.
What do you dislike?
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.


    Consumer Goods

One of the most reliable and convenient analytics engine!

  • October 08, 2021
  • Review provided by G2

What do you like best?
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?
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.