DELMIA Apriso vs. PrestoDB (or Presto)

generally speaking the tool is well suited in complex manufacturing execution environments because there are several features which can be enabled or developed to accomplish business requirements and needs, but on the other hand it means that the standard product is not suitable to cover standard complex scenario in a manufacturing company unless big effort is spent in the development and configuration phase

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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• quality inspection setup, definition, execution and results recording
• work instruction association to specific work orders according to custom parameters
• execution of work order on mobile terminals

• 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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• standard functionalities could be more advanced
• configuration of the system is complex
• flexibility comes with the cost of continue development

• 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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Independently Invited by TrustRadius

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because of the dassault environment integration. in fact there are several tools, for PLM, industrialization, planning and scheduling, CAD design and other tools all belonging to the Dassault environment, which can be integrated in one unique platform or at least they can theoretically exchange information between them in a easier/faster way

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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Independently Invited by TrustRadius

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• traceability reliability and completeness
• overall time spent on work order by operators
• overall performances of the shopfloor

• 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