NewzSocial vs. PrestoDB (or Presto)

If you're operating a social media campaign across several platforms (Facebook, Twitter, LinkedIn, etc) This can really help, because it streamlines everything. Everybody is on the same page, and it tailors your organization to each user, so it's pretty easy to navigate once you have your footing. Really helps our social media manager out.

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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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• It's super clean and easy to use. From a client perspective, they like it because they can create their own news topics and share it with their internal audiences
• The newest update lets you look at channels from other countries to see what current trends are globally
• With the latest release, you can also post to LinkedIn and to groups on LinkedIn and Facebook – which makes it super easy for sharing content.

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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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• It's a saturated market – there's a lot of programs like these, so while it's fun and easy to use, there's a lot of other apps like this. They'll need to innovate if they really want to stand out
• Their website isn't exactly trustworthy – this is a weird complaint, but the site loads strange and doesn't look...legitimate, I guess. It's a hard sell with some people.
• Loading is sometimes an issue – sometimes it's slower than others.

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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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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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• Keeps our clients happy – this is first and foremost. They can see the effectiveness of their campaigns
• Helps us analyze our clicks – we can tell where our users are going, what they react to, and what they're looking at most
• Streamlines our workload – it makes the whole process much faster, so we can worry about other things and tackle other projects.

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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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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