Presto is an open source SQL query engine designed to run queries on data stored in Hadoop or in traditional databases.
Teradata supported development of Presto followed the acquisition of Hadapt and Revelytix.
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Varicent
Score8 out of 10
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From quotas to sales and compensation, Varicent helps revenue leaders in enterprise organizations chart a more effective, connected path to revenue by providing vital data, insights, and sales go-to-market planning tools.
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 the use cases we have at the bank, ICM is a perfect solution. For any bank or institution that has similar requirements, ICM would be a perfect solution. But I also think for any use case that has any sort of incentives based on Sales done, this would work amazing, as both Calculations and reports are handled by ICM very well; it's an all-in-one solution, I feel like.
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
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.
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
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.
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
As [the] model gets more and more transactional data, the calculation time increases. This should/can be handled internally with better model optimization.
Migrating from one env to other sometimes is challenging. There can be better 'Alerts' or 'Explanation' provided to handle it or at least to give a hint of the error.
For managers viewing their rep's report, the access part can be made easier. It should be linked to Payee hierarchy and access can be done automatically.
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
Customer support from IBM is impeccable. They are quick to respond and they don't nickel and dime you for every request you make. Their goal is to ensure your success and as a user, I really feel like they listen to my concerns. That's not to say there are no problems. All software has its issues, but I don't feel like those issues fall on deaf ears.
Any calculations can be implemented as there are hardly any limitations on complexity. However, online real-time usability is lacking - a simple user enters, and the system calculates work in a way that it is in the browser and hence still needs overnight to be properly reflected in the batch calculations and backend tables.
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
All is fast, but with API's it is sometimes slower due to the application we are pulling data from. Reports are loaded directly or within seconds and our reports are very detailed with many columns and rows.
Giving a 10 would suggest there is no room for improvement. I don't feel like their support is perfect. However, I have never met another team that was more dedicated to making sure we get what we want and need.
Test test test. Make sure that the product is calculating everyone 100% correctly. DO NOT accept a 70% pass rate as some companies would like to have you believe is acceptable. This means conducting thorough testing by providing 100% of all expected results, but it will be worth it when you know that the compensation plans are working entirely as expected.
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.
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
In 2015, we used a scorecard containing 80 attributes in our review of Oracle, Callidus, and Xactly & Varicent. Oracle did not have true self serve capabilities- programming was heavily required, not intuitive, out of the box functionality was limited. Callidus & Xactly could not provide us a demo using our data, statements could not be sent out in bulk form, difficulty in importing/exporting to CRM. Varicent excelled in most areas and was the clear winner.
It is very scalable and adaptable to changing complexities of calculations and business rules under a variety of different scenarios. It does not get full points because in large data loads the time needed to calculate and import the data increases exponentially and may cause issues related to timing potentially.
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
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
Compliance - with a central system used for calculation incentive payments and commissions, we are able to provide reports and data showing every detail of how payments are calculated and why they are justified. We can also identify anomalies and outliers.
Integration with our payroll system is seamless. Except for regular pay, nothing goes to payroll without going through ICM. The process for paying incentives/bonuses/commissions is now very structured and efficient.
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