PrestoDB (or Presto) vs. Varonis Data Security Platform

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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The most highlighted feature of Varonis Data Security Platform is the data analyzing mechanism. It analyzes your data all the time with some special algorithms to detect any unusual activities so that it can identify any unusual behavior or users and
take necessary action to save your sensitive data. They also offer a complete dashboard solution for their customers to control across different data stores, see their current state, and any security breaches to be addressed manually.

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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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• Varonis logging is very robust and captures all audit events being sent from the file servers.
• The ability to report and alert on Active Directory account events works very well with file activity monitoring. It can show the complete picture of what an account did while being used.
• Have a customizable dashboard is great for being able to show upper management information that only pertains to them.

• 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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• Implementation can be challenging in some areas and can only be executed by the vendor
• Implementation can only be executed by the vendor and additional work can be chargeable
• Licensing can be improved upon
• Agent based so implementation can be longer than expected

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Because the tool delivers on its promises and forces us to explore each functionality. Using the tool leads us to seek more knowledge and apply it to our environment, mitigating risks, reducing the attack surface, increasing the team's technical knowledge, and boosting team growth. It also demonstrates to senior management that the tool is extremely necessary for the environment.

Support has always been very responsive and addressed any issues we may have had in the past. Some local engineers are willing to come onsite or work over a web session to discuss creating a new rule set or look at some issues. Getting issues address has never been a problem. There was one feature we had trouble getting to function correctly, but support and local engineers were willing to work with us as much as needed to get it working correctly for our organization.

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Independently Invited by TrustRadius

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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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Actually, we didn't expend much time evaluating other file auditing platforms. We chose Varonis just after a serious incident and we had already heard about Varonis at a Netapp event. So it was an easy choice. We called Varonis and asked them for a PoC, that's it. The PoC became a production and it is running until this day.

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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

• We have identified data classifications issues that our organization was not aware of prior to the implementation.
• The tool does take a dedicated resource for it to be effective.
• Varonis has improved the speed with which we can fulfill audit requests, leaving us more time for other tasks.

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