Kyvos Semantic Layer vs. PrestoDB (or Presto)

Kyvos Insights has made it simple for us to work with all our customer data. Now, we get a clear picture of how we’re doing across locations and products, all thanks to its performant tech. It's the only tool that allowed us to explore five years of data and get answers quickly.

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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• Easy to integrate with existing tech stack.
• It is easy to make big complex queries and minimal processing time.
• Good customer support and customization support from customer service team.

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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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• We’re able to add more dimensions and measures to our reports without performance issues. Another great advantage of Kyvos Insights was the capability to migrate our workloads to GCP.

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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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Independently Invited by TrustRadius

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Kyvos has made a big difference by enabling fast data processing and interactive reporting. It has significantly reduced the time needed to gain insights and made it easier to expand our data operations without slowing down, greatly improving our efficiency.

to be honest we used all these platform along with Tableau. Its just each of them fulfil different use cases. Kyvos Insights is more about a platform to with with big data for investigations.

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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Independently Invited by TrustRadius

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• We’d love more customization options to adapt the platform to our specific needs. The initial setup was also a bit tricky, but once done, it runs smoothly.

• 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