Elasticsearch vs. VWO

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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It works better for either small or big companies because small companies can start with the free plan which is very decent and has everything they need. Also for big companies who get the best paid plans they get a lot of premium functionalities, the insight module, outstanding reports. But for medium size companies who can only afford the basic paid plan, it may not be the best tool as it is very limited. For example, they cannot analize a/b tests for new and ruturning visitors, neither based on the users device category.

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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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• VWO is pretty easy to implement on websites and doesn't require a heavy technology lift
• The VWO interface is pretty intuitive and let's non-technical users make variants for testing
• The VWO reporting dashboard is excellent for determining statistical significance and understanding whether differences in conversion rates are meaningful or not

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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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• The user interface within VWO does take a bit of time to get used to, especially as it pertains to switching back and forth between tests. When running multiple experiments on a site at a time, a clear and succinct dashboard for everything in one place would be helpful (as opposed to needing to switch between A/B, multivariate, etc).

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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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It's great value and we think we've ironed out all the major teething troubles. However, if we experience any more bugs or problems that significantly slow us down then we're seriously considering switching to Optimizely, which I haven't personally tested but have heard great things about from my CRO peers

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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I gave Visual Website Optimizer a rating of 8 because it is overall a great product to use. Setting up and keeping track of various tests is easy and straight forward. The only reason why this product is not rated higher is because the support documents online leave a lot of room for improvement.

I have not experienced an application error or unplanned outage with VWO.

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VWO doesn't appear to slow down our website at all, though some customers with adblockers like UBlock Origin have been known to not see entire pages if VWO is making changes to the page at a macro level (background, font, etc). This is rare though.

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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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While their online document support is lacking a simple email to their support team will almost always get responded to the next day. It has however taken more than one email to explain the problem to the support team till they understood the problem. The solution I was given also only half fixed the problem the rest I figured out on my own.

Training was good, just limited to the onboarding process. They walked through all of the steps it takes to get started in VWO and each of the modules, along with giving us ideas for starting our first test. I feel like it could be better if there was a guided process within the VWO program to continue to educate you along the way, and a way to turn that off for experienced users.

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

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Overall, the implementation of VWO is straightforward. If you've got a straightforward way of deploying code to all of your test pages, either a good CMS or a TMS, then implementation should be a breeze. There is no tweaking to be done to the code itself, and once deployed it has the flexibility to cope with different VWO modules (tracking, conversion analysis, session analysis) without modification.

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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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There are significant differences in each platform when it comes to Optimizely and vwo. From a functionality and performance perspective they each have their pros and cons. It is important to go through the feature sets of each and ensure the solution you select will work specifically with your business objectives and conversion rate optimization goals

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The product seems infinitely scalable for our needs (small business) and we've never had any issue with loading VWO-edited elements. I will say, though, that online customers with ad blockers have been known to not see certain VWO elements as their third-party scripts are disabled.

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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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• The ability to offer a CRO service is greatly enhanced by VWO, as it allows us to run tests for clients
• The editor means to some extent we don't need much developer resource to run the tests, lowering costs of doing so

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