Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.
$16
per month
Sitecore Search
Score 9.0 out of 10
N/A
Sitecore Search (or Sitecore Discover, formerly Reflektion), is a customer centric personalization platform that optimizes customer experiences on an individual basis in real time.
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.
Reflektion is very well suited for ecommerce sites that are looking to provide their customers meaningful product recommendations tailored to their specific user experience on our site. We are also beginning to use Reflektion for search results. If you find that your customer base uses your search bar or is having issues with their search experience, Reflektion offers a great auto complete search results feature. We have a sister site that only offers a small catalog of products and we do no use the auto search results feature on this site. If your company has a small catalog the search results tool may not be as effective. I cannot think of a scenario in which an ecommerce site would not find it helpful to provide customized product recommendations to their customers.
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.
Reflektion provides individualized results based off each customer's unique browse experience on the site. This is beneficial because it gets more accurate results than segmenting customers by certain behaviors consistent with other customers.
Reflektion is responsive to our business. They treat each request with professionalism and work to find solutions quickly.
Reflektion has several beneficial features to further enhance the customer experience through a learning environment. Reflektion learns synonyms and is able to adjust for more accurate results. They also provide full page results with faceted navigation which leverages the individualized learning into the product results specific for each customer in a seamless integration with the site.
While I mentioned that training our team in using the Reflektion dashboard was quite pain free, the dashboard can get a little overwhelming to a first time user. There are a lot of options and customization features available that can be intimidating at first.
There isn't really too much for us to criticize with Reflektion. As I said, we switched from another product to Reflektion and so far have had almost no issues. When they do come up, the Reflektion team has been very helpful.
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.
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.
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.
Reflektion is a very cost-effective, complete solution providing individualization for preview search, product recommendations, full page search, and content. Compared to the other services they offered more features utilizing SOLR results but with continued learning. Other services didn't have the full list of capabilities or were much more expensive.
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.
Increasing conversion rate is almost always the goal when we start a new project and it is safe to say that Reflektion has helped us increase conversion rate for customers clicking through product recommendations.
With our previous recommendations engine, tweaking and customizing the recommendations on our site was not nearly as effective or easy as it is with Reflektion. This has saved us countless hours in dev and manual operations work.
We have not seen any negative impacts of Reflektion and hope this continues.
