#1 most frequent
United States of America
57.9%938 installations of 1,619
Presto
19 Reviews and Ratings
What is Presto?
Presto is an open source SQL query engine designed to run queries on data stored in Hadoop or in traditional databases.
Teradata supported development of Presto followed the acquisition of Hadapt and Revelytix.
Categories & Use Cases
Videos
Who Buys & Uses Presto
#2 most frequent
India
8.0%129 installations of 1,619
#3 most frequent
United Kingdom of Great Britain and Northern Ireland
4.6%75 installations of 1,619
Why do we Presto
Pros
- Fast - Presto, is incredibly fast due to its optimized query engine and is well suited for interactive analysis.
- Flexible - Presto is highly flexible as it operates with a plug and play model for data sources. Joining and query across different data sources is very easy with presto (eg. HDFS, MySQL, Kafka).
- ANSI Sql - Presto follows ANSI SQL which is the recognized SQL language and hence helps allow easy query migration without much overhead.
- Large Fact + Small Dimension table joins made fast - By design presto excels most distributed query engines out there in this type of queries.
Cons
- Presto was not designed for large fact fact joins. This is by design as presto does not leverage disk and used memory for processing which in turn makes it fast.. However, this is a tradeoff..in an ideal world, people would like to use one system for all their use cases, and presto should get exhaustive by solving this problem.
- Resource allocation is not similar to YARN and presto has a priority queue based query resource allocation..so a query that takes long takes longer...this might be alleviated by giving some more control back to the user to define priority/override.
- UDF Support is not available in presto. You will have to write your own functions..while this is good for performance, it comes at a huge overhead of building exclusively for presto and not being interoperable with other systems like Hive, SparkSQL etc.
Return on Investment
- Presto has helped scale Uber's interactive data needs. We have migrated a lot out of proprietary tech like Vertica.
- Presto has helped build data driven applications on its stack than maintain a separate online/offline stack.
- Presto has helped us build data exploration tools by leveraging it's power of interactive and is immensely valuable for data scientists.
Alternatives Considered
Vertica, Apache Spark and Apache Pig
Other Software Used
Vertica, Apache Hive, Apache Pig
Presto Review for Insider (Gannett)
Pros
- Linking, embedding links and adding images is easy enough.
- Once you have become familiar with the interface, Presto becomes very quick & easy to use (but, you have to practice & repeat to know what you are doing - it is not as intuitive as one would hope).
- Organizing & design is fairly simple with click & drag parameters.
Cons
- HCI - Intuitively there are quite a few design elements I was unsure of before I got enough practice.
- Curating Fronts - should have an auto-organize element so you don't need to move each front.
- Save, Publish & Unpublish options should be easier to understand.
- Presto should have a copy feature.
Return on Investment
- Our Insider program continues to grow - Presto is definitely not a hinderance.
- Gannett corporate pays for the Presto services for all of the Gannett Newspaper sites - i have no input on ROI.
- We do not use Presto to gain NEW subscribers.
Alternatives Considered
Adobe Photoshop and ION
Other Software Used
Adobe Photoshop