Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.
$16
per month
Luigi's Box
Score 9.6 out of 10
N/A
Luigi’s Box solutions understand customer behavior, and use data to provide better search results, recommend relevant products, and enhance the shopping experience to boost your e-commerce conversion rates and average order values. Search and Autocomplete Recommender Product Listing Shopping Assistant Analytics
Unfortunately, I did not have an opportunity to test and compare other similar Solutions. Before implementing Luigis box we developed our on site search module but we struggled with good results. Our search results significantly got better and also revenues from on site search …
Luigi's Box is much easier to set up and maintain. Most features are ready to go without the need to study extensive documentation or do additional training. It does not allow you the flexibility to change EVERYTHING right away.
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.
Luigi's Box is the perfect solution for sales platforms that have search engine problems on their site. Luigi's Box allows you to go to the next level and enable customers to find what they are looking for. With additional options to recommend and indicate substitutes and add-on products, it can work great as a sales-boosting element.
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.
Recognising synonyms and mis-spellings to still show our customers accurate and relevant search results.
Great analytics section showing trending searches and non-converting searches, aiding in future product development and our priorities for what products we want to show the customer.
The boost function which allows us to prioritise showing customers certain products over others, which improves conversions.
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.
As I mentioned in the previous points, Luigis Box helped us to improve the overall services for our customers, whether in the area of product search, optimization of various processes, improvement of service quality, etc. Within our company, all of us who work with him are really satisfied with him. If we were to recommend the tool we use to other companies, Luigi's Box would be a clear choice for us :)
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.
The price is a lot better than Clerk, and the speed of integration is much simpler. Our IT team had so many issues intergating Clerk and the price kept on increasing. Whereas with Luigi's Box it was the exact opposite. Price is good for the system you receive and the integration is easy.
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.
