DBArtisan vs. PrestoDB (or Presto)

DBArtisan is functional and suitable for any sized organization that needs to monitor its database resources and running queries.

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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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• User interface is easy to use, and in some ways better than Toad. The left hand side shows all databases, and you can drill down to instance, storage, schemas, tablespaces, and performance views. The right hand side displays the details of the selected object.
• This is the best tool if you want to manage multiple RDBMS platforms in a single tool using the same familiar interface. Other third party tools can do it also, but it's not nearly as integrated as this, and may require additional plug-ins installed. DBArtisan excels at this, and can perform cross-platform data migrations easily.
• It has different DB analysts, which can help diagnose issues with performance, optimize storage, detect fragmentation, and plan for capacity growth. For almost any action you want to take, you can generate the DDL for preview, and/or schedule it to run at a specific time.

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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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• Locks up far too often
• Licensing structure is expensive

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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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I have never tried their support so the number above is meaningless

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DBArtisan does not have an in-depth performance analyzer for databases.

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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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• It has a positive ROI on our organization. It's better than OEM and SQL Developer. Although the license could be expensive, it is perfect for large organizations, especially with multiple RDBMS platforms.
• Most features are redundant between DBArtisan and Toad. I would not recommend using both if you already own one of them. Just download the trial for the one you're not using, and see what works best for your organization.
• DBArtisan is great for DBAs and would be my personal preference. Toad is good for developers and DBAs alike but I feel like sometimes the interface is too busy and too clumsy to use.

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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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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