Elasticsearch vs. Planful

Elasticsearch is a really scalable solution that can fit a lot of needs, but the bigger and/or those needs become, the more understanding & infrastructure you will need for your instance to be running correctly. Elasticsearch is not problem-free - you can get yourself in a lot of trouble if you are not following good practices and/or if are not managing the cluster correctly. Licensing is a big decision point here as Elasticsearch is a middleware component - be sure to read the licensing agreement of the version you want to try before you commit to it. Same goes for long-term support - be sure to keep yourself in the know for this aspect you may end up stuck with an unpatched version for years.

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Planful is initially easy to setup and if a company is already using a mid layer to transform and standardise GL data, management reports can be set up in days, not weeks or months. Budgeting template setup does get some getting used to but the training provided by Planful is sufficient to get going and learn along the way. Building custom reports is straightforward and the interface is user-friendly, therefore the accounting team can get going without the need for technical specialists getting involved. Budget and forecasting is flexible and drivers of revenue and cost can be created in Planful and customised by Unit or Geography.

• As I mentioned before, Elasticsearch's flexible data model is unparalleled. You can nest fields as deeply as you want, have as many fields as you want, but whatever you want in those fields (as long as it stays the same type), and all of it will be searchable and you don't need to even declare a schema beforehand!
• Elastic, the company behind Elasticsearch, is super strong financially and they have a great team of devs and product managers working on Elasticsearch. When I first started using ES 3 years ago, I was 90% impressed and knew it would be a good fit. 3 years later, I am 200% impressed and blown away by how far it has come and gotten even better. If there are features that are missing or you don't think it's fast enough right now, I bet it'll be suitable next year because the team behind it is so dang fast!
• Elasticsearch is really, really stable. It takes a lot to bring down a cluster. It's self-balancing algorithms, leader-election system, self-healing properties are state of the art. We've never seen network failures or hard-drive corruption or CPU bugs bring down an ES cluster.

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• It aggregates data from different sources well, allowing me to report on a wide variety of metrics that interrelate.
• I can build detailed reports so that my monthly and weekly reporting is done more efficiently
• I like the tools that I am using to create dedicated models for forecasting and budgeting purposes

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• Joining data requires duplicate de-normalized documents that make parent child relationships. It is hard and requires a lot of synchronizations
• Tracking errors in the data in the logs can be hard, and sometimes recurring errors blow up the error logs
• Schema changes require complete reindexing of an index

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• Dashboarding could be more flexible and easier to use.
• Dynamic Reporting has room for flexibility with nesting, dimension names showing up instead of “All,” and overall flexibility.
• Make Analyze view in Spotlight more intuitive.
• A high-level onboarding guide to understanding the different components of Planful, data flows, and tips & tricks.

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We're pretty heavily invested in ElasticSearch at this point, and there aren't any obvious negatives that would make us reconsider this decision.

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Our new Comptroller understands the value of Planful, and we plan to utilize it further in the organization to enhance external reporting. Strangely enough, Planful had not previously been embraced by the former CFO, who argued that we were running two sets of books (of course, we were not). Fortunately, the before mentioned reconciliation of EBITDA to Net Income demonstrated that to the banks.

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To get started with Elasticsearch, you don't have to get very involved in configuring what really is an incredibly complex system under the hood. You simply install the package, run the service, and you're immediately able to begin using it. You don't need to learn any sort of query language to add data to Elasticsearch or perform some basic searching. If you're used to any sort of RESTful API, getting started with Elasticsearch is a breeze. If you've never interacted with a RESTful API directly, the journey may be a little more bumpy. Overall, though, it's incredibly simple to use for what it's doing under the covers.

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The tool is extremely adaptable, and it enables very quick querying to give us opportunity to gain live insights into the business. Given its adaptability, we are also able to create scenario analyses very quickly in rapidly changing environments. The formatting also enables us to provide this information in a very consumable manner.

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I only give a 9 rating rather than a 10 rating because it seems that every day around 2pm we see a slowdown in the use of Planful. I have requested our internal IT department verify that it is not an internal issue and have been assured it is the tool. We have not yet reached out to Planful to do extensive research to solve this issue.

Again, the system is very reliable and, for the most part, runs very quick and smooth. When running larger queries, it does take some time, and during budgeting season our users experienced slower loading times, but nothing that raises concerns outside of normal network issues. Occasionally, as with any software we use, it will crash and you have to restart, but that does not happen very often.

We've only used it as an opensource tooling. We did not purchase any additional support to roll out the elasticsearch software. When rolling out the application on our platform we've used the documentation which was available online. During our test phases we did not experience any bugs or issues so we did not rely on support at all.

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Sometimes we get great help when using Planful's support team and other times we don't. In particular, there is one person that often responds to our support tickets who is less than helpful, hence the reason for the 5 out of 10 rating. As a result, most of the time we reach out to our Planful consulting group as they provide faster and better support

My team has attended training offered several times before/during the Planful Perform conference. This training has been extremely useful and we always learn something we didn't know prior to the training. The trainers are always very knowledgeable and more than willing to help each and every user after the training with specific questions regarding their environment. Planful also offers training and certifications on their training hub. I have completed a couple of the certifications. The courses are easy to follow along with and very informative. Additionally, Planful schedules webinars pretty regularly. They'll email their customers and allow you to register to participate live. They also record these sessions so you can refer back to them at a later date or if you are unable to attend at the time the webinar is offered, you can register anyway and get access to the recording. Their training has improved year over year!

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Planful provides a lot of online training support. There's so many options for training. Admin Learning Courses, User Learning Courses. Plus they have several webinars devoted to the tool and the new features they release. New Releases can be practiced in a Sandbox Environment prior to going live in Production

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Do not mix data and master roles. Dedicate at least 3 nodes just for Master

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After going through the initial implementation with Host Analytics and a re-implementation with Cervello (due to an ERP change, not due to a poor initial implementation), I've learned that you really must rely on your internal staff to bear most of the implementation burden. Use the vendor or partners for ideas and best-practice suggestions, and some of the easy-but-time-consuming work. Since you will ultimately be using and maintaining the application, you should be able to do most of it yourself.

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As far as we are concerned, Elasticsearch is the gold standard and we have barely evaluated any alternatives. You could consider it an alternative to a relational or NoSQL database, so in cases where those suffice, you don't need Elasticsearch. But if you want powerful text-based search capabilities across large data sets, Elasticsearch is the way to go.

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Prior to joining the company, we tried to implement Vena but were unsuccessful. There we're a few reasons it didn't work out, but a lot of it related to the implementation team they provided. In just the first week with Planful, we achieved more progress than we did in several months with Vena.

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From our experience, Planful is only used in 2 overhead departments in our organization. We easily added another overhead department, but they decided against using Planful for their workforce and financial planning. Removing them from our environment was extremely easy.

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• We have had great luck with implementing Elasticsearch for our search and analytics use cases.
• While the operational burden is not minimal, operating a cluster of servers, using a custom query language, writing Elasticsearch-specific bulk insert code, the performance and the relative operational ease of Elasticsearch are unparalleled.
• We've easily saved hundreds of thousands of dollars implementing Elasticsearch vs. RDBMS vs. other no-SQL solutions for our specific set of problems.

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• Has allowed users to view a real-time P&L in a way they weren't able to do with Qlik.
• Budget to Actual analysis has become much more streamlined and actionable
• Long-range plan process has been significantly streamlined and a lot of time has been cut out of the process.

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