Flurry Analytics (discontinued) vs. PrestoDB (or Presto)

I would encourage a colleague to use Flurry Analytics. Incorporating Flurry Analytics in an app is a simple and straightforward task, and will take the average app developer less than 15 minutes to understand and apply. This amount of time is nothing in the grand scheme of the development of the app, and the return on time invested to incorporate it is great. New tracking features can be added at any time.

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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• Flurry can track in-depth metrics across your app. This allows us to see every type of interaction our app users are performing.

• 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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• There is no option to choose a timezone which will allow me to compare their data over other systems in other time zones.
• Could be nice to have more reporting screening options.

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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.

Incentivized

Independently Invited by TrustRadius

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Good user acquisition tracking
Sdk integration is super easy for both iOS and Android
Need it
Need to support more customized dashboards / reporting (example - set up a dashboard specifically to see users engaging with a new feature recently launched)

For my uses, Flurry is free which makes it way more attractive than the other platforms even on a very big number of monthly events. It also have set reports which are exactly the reports that a marketing person needs without any need of spending a developer time to create them for you, or holding an in-house BI person that works on creating reports.

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Independently Invited by TrustRadius

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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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• Tracking the number of times a user taps a help button can help to improve the app design. Perhaps the app is not as intuitive as first thought, and improvements based upon where in the help feature a user taps will lead to improvements in the app design to make it more intuitive.
• Tracking the number of times certain app features are used, or the amount of time spent within a given activity in the app can help to streamline an app - improve upon features that are used more frequently while eliminating less popular activities.
• Tracking time spent within an app can give an idea as to how popular the app is.

• 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.

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