Lytho Workflow vs. PrestoDB (or Presto)

It's a flexible program that can be molded to fit most businesses. It's geared towards agencies but we've been able to use it successfully as an in-house solution. It's pretty intuitive for the most part and is easy for new hires or clients to get up and running pretty quickly.

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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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• Requests - Request forms are set up so that certain fields are required and there's a minimum turnaround time. This prevents others from submitting an incomplete request or requesting things last minute.
• Proofing - Chasing after people to approve a proof is always a pain, but the simplicity of Lytho Workflow makes it less of a pain. I can quickly remind people in the route to review the proof by clicking a button.
• Templates - I use templates so that a list of tasks is created for me when I accept a job. It also creates a timeline for when each task needs to be done.

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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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• Not being able to permanently delete inactive/old users (i.e. employees that are no longer with the company).
• Search filtering features are lacking.
• Not being notified when someone replies to my comment without @ mentioning me.

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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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The corporate communication team uses DivvyHQ, TweetDeck and Agorapulse. Each one is used for different purposes and helps us meets our objectives. DivvyHQ helps Unum and Colonial Life's corporate communications teams stay in touch with one another's work and aware of what the other is doing. It allows for content collaboration and keeps us on track to meet individual deadlines.

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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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• This has saved man power by automating certain functions
• We have created a new stream of marketing.

• 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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