Fortra's GoAnywhere MFT vs. PrestoDB (or Presto)

Go Anywhere is perfect for moving data between systems. It is great for pulling data and emailing it or sending it to another server. However, Go Anywhere is limited as an ETL tool. It is not good for large datasets. When we had to move millions of rows from one server to another, it totally choked.

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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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• For an FTP server it is robust but very easy to use and configure.
• For a project manager for file transfers, it allows you to do nearly anything, from simple file move to file rename, move, zip, and create a new folder location to drop the file in.
• GoAnywhere has a gateway device that allows for securing the traffic coming from outside your network in without exposing too much of your network.

• 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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• In the beginning, when implementing, it can take a while to understand how it works thoroughly.
• Due to the added abilities learning to configure the software can take some time.
• Training for this product will cost extra. The training is also not excellent.
• The software seems glitchy at times, sometimes being slow or corrupting jobs.

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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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Since using it and having time to work with it, its process and actions are growing on me and once a project is created one can implement across numerous location or platforms

They would help us to identify the problem and provide a solution every time. Support also will answer questions about what the application can do and how, and it would allow you to submit enhancements requests for consideration to be included in future versions.

Implementation was straight forward. We paid for 50 hours of professional service in case, we need help. We end using only 10 hours. I have only 1 month to convert over 120 scripts from FTP voyager to goanywhere. Old script was had written using bat files. Some of the batch file were written by some other person, who passed away. Documents for old script was not in details. With the professional service, I was able to convert all script within windows

At the time we were evaluating a managed file transfer system, we initially looked at Ipswitch. It did not have a web based interface and the overall price was extremely higher than GA MFT. The solutions offered by GA MFT were significantly more attractive for our needs as an organization.

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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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• GA has made life easier for our employees. Many processes that used to take a lot of time are now automated or semi-automated using GA.
• GA has helped our IT team be far more productive. It would take weeks to put together code that we can do in GA in a day or less.

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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