PrestoDB (or Presto) vs. SAP BPC (Business Planning and Consolidation)

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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SAP BPC (Business Planning and Consolidation) overall is a good package and has helped improve our reporting a lot whilst also making it more efficient due to the reliability of data input / output. There are limitations like graphs being so limited in functionality and reports failing when too much data being processed however i would recommend to others.

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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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• SAP BPC is real time data. You can send information into the system and see it reflected in your reports immediately. Other systems may require a manual push into a reporting system.
• SAP BPC is a shared reporting tool, so multiple users can be working in a model/environment at the same time, real time. This is especially helpful if your workbooks incorporated multiple processes requiring multiple users to get into the same model.
• SAP BPC is a powerful tool designed to help all facets of the company, from cash flow to capital expenditures to headcount management to financial planning to consolidation.

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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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• SAP should focus on delivering one single product for planning, consolidation and budgeting needs rather than providing a large list of options to choose from.
• The product is not very user-friendly compared to other cloud competitors. There is a heavy dependency on IT teams.
• SAP BPC should come up a pure cloud option.

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Unlike other SAP traditional products, SAP BPC was meant to be simple and familiar to financial users

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We need a big support team with various skillset like BPC, ABAP, BW, HANA, FICO etc

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SAP BPC training content and trainers are very good. The training is structured and provides a very good understanding of the product features and functionalities. I attended 6 separate training sessions of week-long or more. I had very good experience in all the sessions. The training is organized very well.

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SAP Training contents are very good, informative and exhaustive.

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The implementation was carried out in two phases spread over a period of 4 years with 2 upgrades in between. We also had multiple upgrades to HANA.

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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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With Hyperion we struggled as it didn’t have integrated planning and consolidation, whereas BPC does have it. BPC is easier for reporting as it is Excel-based. Also BPC has prepackaged business process flows that helped a lot. Hyperion on the other hand has a faster response time for user queries or report generation.

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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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• When originally implemented (as the predecessor product Outlooksoft) BPC took ASU from trying to budget and forecast for a 2B enterprise out of spreadsheets and into a far more consolidated tool. It has saved us considerable time over the years and paid for itself several times over.
• BPC also allows us to present our budget in multiple different views to support management, board and departmental reporting.

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