PrestoDB (or Presto) vs. Swagger Open Source, supported by SmartBear

Presto is for interactive simple queries, where Hive is for reliable processing. If you have a fact-dim join, presto is great..however for fact-fact joins presto is not the solution.. Presto is a great replacement for proprietary technology like Vertica

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To my opinion Swagger Open Source is a very good tool to quickly produce an api documentation, that how I use it.Swagger can also produce an open api file to generate an api for our application server (Inersystems Iris) but we don't use this functionality for now. We plan to use more Swagger features in the future.

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• 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.

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• Produce documentation
• user interface to create api definition
• reusability of data description

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• 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.

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• for me the UI can be more simple
• too many functionnalities when just want to produce doc, can be a separate app
• A french documentation will be apreciated

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Presto is good for a templated design appeal. You cannot be too creative via this interface - but, the layout and options make the finalized visual product appealing to customers. The other design products I use are for different purposes and not really comparable to Presto.

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We use swagger only to generate the API documentation, for testing the APIs, we use Postman. We don't find an other tools for producing API documentation in web pages and also in pdf files. Postman is a good complement for testing APIs on InterSystems IRIS (a powerful application server and DB manager) which implements these APIs.

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• 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.

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• Less time to produce our documentation
• Documentation can be accessed online, this is a plus for our customers and partners
• Great tools to communicate with other project actors

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info