Presto vs. SAP IQ

Simple stories & templates work nicely - like for our Insider program. Stories that include a lot of images may be challenging to create & have look appealing.

Incentivized

If you are loading massive datasets or aggregating huge relational datasets, SAP IQ is incredible. Loading 10 million rows in seconds is incredibly impressive.

Incentivized

• 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.

Incentivized

• Superior performance in getting results for query
• Ability to scale up as data size/volume increase
• In memory solution and hence enhanced speed

Incentivized

• 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.

Incentivized

• Installation, specifically licensing, is a pain.
• Connectivity is a bit tricky given that the SQL Anywhere drivers aren't native anywhere.

Incentivized

SAP IQ support is top-notch. I prefer starting all my SAP IQ support tickets with their Instant Messenger, where the majority of our issues are resolved. If it makes it to their ticketing system, they are very prompt at responding and very knowledgeable in the platform.

Incentivized

I think Presto is one of the best solutions out there today at the cutting edge for interactive query analysis. One of the challenges is presto is a niche tool for the interactive query use case and doesn't have the knobs and whistles as much as Spark. In the foreseeable future if they are able to make presto work without the need for Hive, solving all the gaps it could be game changing and can be a direct threat to spark

Incentivized

SAP IQ is perhaps an under-marketed product in the sense that it is able to scale up very well and perform much faster and more efficiently than other products such as Oracle - when we ran multiple large queries on both Sybase IQ and Oracle, we found that that results were much faster in Sybase IQ and this gave the confidence to go for this product.

Incentivized

• 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

• The ROI over a number of years has been good. Seeing as how we use it for billing, it has an obvious ROI to us.
• As they have been modifying their licensing structure, it's been difficult to keep up and understand how they work.

Incentivized