PrestoDB (or Presto) vs. TeamDesk

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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Teamdesk is perfect for any operational tracking requirements for companies small or large, and any situation where you need to integrate with other systems since it can be set up to do that flexibly via its API and Webhooks. For example, you could track contacts, time and expense, projects and tasks, schedules, web leads, check-ins, order entry, quotes and invoices, support ticketing, and use the more advanced features to integrate with other systems to pull in currency exchange rates, various lists of data from other databases, send faxes, send bulk emails and so on. It does not do offline storage, so it would not be appropriate for a situation that offline work.

• 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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• Provide a very good, customizable user management system.
• Gives a lot of flexibility to customize database to your needs without requiring coding skills. Even allows to customize interface if you can code in html.
• Provides unlimited space and records.
• Gives an opportunity to have a database on EU servers to comply with GDPR
• Offers very good pricing options comparing to competitors (Salesforce, Quickbase, etc.) and offers unlimited space.
• Gives an opportunity to share your ideas how to improve the platform, many of which are being implemented
• Customers service if very helpful and friendly. All my questions were answered within a couple hours.

• 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 only down side that I see, is that you have to be willing to spend some time creating your database. You start with a blank canvas and all the tools you need to design a custom database. But, you have to take the time to do it. If you take that time, it is well worth it.

They are simply amazing. Very fast, like I have a personal support person standing by for me and always solves my problem in one go.

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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Quickbase is a good product which I have been using for 5 years (powerful, nice interface) but - not so powerful as TeamDesk - started to move toward large companies (>50 people) - more expensive than TeamDesk Zoho was not as flexible as TeamDesk Caspio was not as powerful as TeamDesk

• 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

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• The per user cost is significantly lower than any prior option we have tried. The time spent getting things set up was time well spent for the overall long-term savings.

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Invited by the Vendor

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