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Presto Reviews

User Rating

5/5 (Based on 4 Ratings)

Rating Distribution

  • Excellent

    100%
  • Very Good

    0%
  • Average

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  • Poor

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Do You Use Presto?

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Reviews
AU

Anonymous User

July 8, 2022 Source: G2.com
"Presto : The best distributed query engine"
What do you like best about Presto?

Presto offers immense flexibility for users to connect with multiple data sources like HIVE, MySQL. The speed at which it can handle petabytes of data places it ahead of competition.

What do you dislike about Presto?

Couple of know limitations like the constraints with the drop and delete statements makes it difficult to be solely dependent on Presto for end to end work. Also the Insert Overwrite is a a pain.

What problems is Presto solving and how is that benefiting you?

Presto is helping me to query terabytes of data in hadoop at incredible fast speeds. I can extend my analysis timeline without having to think about the time constraints.

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MK

Manish K

December 28, 2023 Source: G2.com
"Database engine to integrate with environment"
What do you like best about Presto?

Easy to implemataion in presto becasue engine will provide and also customer support. Same feature are similar to other RDBMS.

What do you dislike about Presto?

Some operators limitaions and limated UDF (user define functions). Runnining queries limitation.

What problems is Presto solving and how is that benefiting you?

We can intergrate with any dataware house tool. I am using this engine with Treasure data.

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AU

Anonymous User

April 20, 2023 Source: G2.com
"Large and distributed Query Engine"
What do you like best about Presto?

I am amazed by the speed at which the data is delivered. The query response is superfast, eventually. Supports a large number of data bases. Highly flexible in adapting to the query translation.

What do you dislike about Presto?

Heavy duty resource-hungry processes. The more you allow to cache the more response time is good. Some queries run into pages, very complex while dealing with ElasticSearch DB. Translation to stat is where I feel Presto lacks.

What problems is Presto solving and how is that benefiting you?

I am using Presto to collate data across multiple databases and generate report. Also Presto is used as backend database to integrate with elastic search DB with superset. Superset unfortunately doesn't integrate with ES where presto does. Mix and match, join queries across DBs

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