Elasticsearch vs. Strategy Analytics

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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MSTR is great for any organization that is looking for a way to deliver complicated data in an uncomplicated way. From business teams to marketing and finance, several departments benefit from using MSTR to keep track of KPIs enabling teams to make optimizations along the way. MSTR provides great visual representations of data enabling team members to distill thousands of data points into easily digestible charts and graphs

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• 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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• They sell the product well, and make promises you will actually believe
• "checks the box" for most features a company would need. Doesn't actually deliver them though
• They answer the phone in a timely manner. Can't answer your questions or provide support, but the queue time isn't bad
• They have online documentation. It's not up to date, and likely doesn't reflect the version of software you are using, but hey... they can point to it.

• 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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• The graph options are not as robust as an Excel user might want.
• The metadata layer can sometimes be slower, and it takes a long time for reports to run.
• Viewing the data feed entered can be cumbersome at times, in terms of validation with reports.

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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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I would always choose to renew MicroStrategy as long as they lead the market in features, functionality and price. The support of MicroStrategy is timely and professional, I frequently get answers to my questions within 24 hours and normally have solutions within 48 hours. Training available for MicroStrategy completely covers everything required to be able to expertly use MicroStrategy and understand data warehousing.

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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 standard grid reporting could look more like the styling and object used for the Import and Visual Insight products. In addition, object properties almost seem to be hidden when first using the product. It's as if they are asking the engineers to only use the presets we make available...and, these presets are 10+ years old. On the positive side, Microstrategy seems to be the only product, not named Cognos, which can scale to Big Data. The product is "hackable" via the SDK or tricking the Intelligence Server to do uncommon things. The Microstrategy development team also seems to be very involved with their OEM partners; especially when it comes to features and enhancements. A large majority of the improvements we suggested have made it into the product or on the roadmap for future enhancements. Only suckas fall for the shiny objects from most other vendors; Microstrategy is really the only choice for Enterprise BI.

I've never had an issue with MicroStrategy not being available due to MicroStrategy application malfunction. It is very robust and only failures I've seen were due to user error or the platform the machine running the service failed some how.

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Being able to customize the performance based on the business need is extremely powerful. Proper configuration and understanding of the usage pattern is key, if the technical ability of the architect is not at top level, then the product will not be configured correctly which will lead to poor performance.

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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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Good user community. Support team is available if you are under AMC. You get decent support after raising the support ticket. If it is product bug they will inform you and let you know which patch will resolve the same.

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I have attended many trainings offered by MicroStrategy; both distance and in-person training. I earned my CRD (Certified Report Developer) certification via the online training. I found the training to be well organized and concise. Overall I will definitely continue to increase my knowledge with MicroStrategy via the online training offering.

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

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We measured following KPI for the success

• Increase in Business Feeds Loads
• Reduction in Controllers Manual Work.
• Conversion of Manual Work into Systematic Workflows.
• Increase in Customer Spend
• Reduction in Service costs
• Reduction in time-to-market for new campaigns
• Increase in cross sell and Up sell
• Error reduction in customer Identification
• Existing client retained

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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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Tableau is probably MicroStrategy Analytic's biggest competitor I've noticed over time, and I'm not sure why. Tableau only covers visualizations independently for each business user, which then creates the issues of every employee creating their own version of the data, and then you have 20 versions of the truth. A enterprise data warehouse and MicroStrategy's Visual Insight is a better method.

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This software is extremely scaleable, one can add more core servers which performs as a load balancing. The configurations available to manage usage patterns and daily activity are as high a caliber as any other enterprise level software. This product can be installed on both a windows and unix platform allow for integration on a budget.

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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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• MicroStrategy was helpful for reducing the amount of time we needed to spend number crunching large data sets, and in doing so, allowed me as the primary users to spend more time gleaning insights from the data that in turn informed our leadership team to make strategic decisions.
• By creating numerous canned reports available to all members of the team through email distribution or basic access to the platform, we were able to reduce the time I spent showing people how to pull the data in Microsoft Excel by nearly 40% .
• We ended up needing to make many changes to the way our DMP was feeding data into MicroStrategy due to incorrect reporting that caused complications in accounting and finance.