Navicat vs. PrestoDB (or Presto)

Navicat Premium is a very well-rounded tool with a reasonable licensing fee given its feature set. It is primarily suited for technical resources who must work with a variety of different database systems, but who may not be database or command line tool wizards. However, its query building and job batch scheduling feature support end-users as they build competency, and it continues to hold its value even as users outgrow their training wheels. Navicat is probably not so appropriate for DBAs and others for whom database development and management is already a career path; these folks have their preferred toolsets, both vendor-supplied and homegrown, and they might consider the additional licensing cost to outweigh the value they'd personally get out of Navicat.

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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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• Really helpful auto-completion.
• Can connect to multiple (different) database types simultaneously.
• Can generate some really impressive charts.
• The new data dictionary tool is great!

• 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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• Remote deploy databases
• Clone databases

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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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There is quite a lot to learn because Navicat Premium is a very comprehensive database management and development tool, but it's User Interface is intuitive enough to pick up fairly quickly. I have also referred to the documentation on occasion, and can attest that it is quite good. I feel that it works best on a large monitor, but that's fairly common for this sort of software.

Very robust online community and well as excellent support staff. Easy to follow video tutorials. Detailed sample configurations are provided with guided walk-throughs via remote classroom instruction. Very fast response from support staff. No internal hires were necessary for support as vendor support staff fully met all technical expertise. 24/7 incident reporting and tracking is great.

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Navicat allows for easier querying of data while still allowing for visualization and modeling

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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• Assisting new employees with understanding our DB
• Reduce debugging and testing time with being able to visualize data/queries
• Allowing non-SQL users to execute queries to get real-time data.

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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.

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