PrestoDB (or Presto) vs. ThingWorx

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 is well suited for situations where you require an end-to-end platform for pushing code and managing data and security of the IoT application. However, it is not well suited for the case when you want to scale the app up to many users and this requires more from the part of the product.

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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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• Asset Monitoring - quick and easy to deploy, can connect to the plant floor and get real-time data from devices.
• Analytics - The TWX Analytics extension has a variety of analyses that can be done into any data source input into TWX.
• Alerts notification - you can program alerts to be sent via email/SMS seamlessly.

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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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• Advanced functionality in control and data visualization often requires additional coding from the user.
• Support and tutorials provided are often lacking in detail or are not readily transferable.
• Mashup development works poorly on small monitors or laptops.

We started more than a year ago and do not plan to replace it

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Experienced and knowledgeable customer support executives, Thingworx is a very large product and contains a myriad of features which is not easy to remember without enough training or hands-on experience

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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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Well-suited - multiple streams from many data sources, highly scalable application scenarios.Good for a quick test of internet of things (IoT) connectivity and for deploying access via the web. Smooth deployment, easy to couple to devices. Easy cooperation with Splunk, which we use also.

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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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• Good for quick deployment of customer specific control of IoT
• Good for quick test of IoT platform
• Difficult to debug complicate system

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