Commerce Layer is a headless commerce platform and order management system that enables users to add global shopping capabilities to any website, mobile app, chatbot, or IoT device. It is a CMS that can be used to create shoppable content through its API on a global scale.
$0
Elasticsearch
Score 8.5 out of 10
N/A
Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.
$16
per month
Pricing
Commerce Layer
Elasticsearch
Editions & Modules
Growth
$649
per month (annual commitment)
Enterprise
Custom
Startup
Free
100 orders/month included, then $0.90 for any extra order
Commerce Layer is a great choice, if you want to build a tailored system. The flexible API allows to build all kinds of applications around commerce, but you also need to deep dive a bit into the structure. If you want to set up a simple store and sell a few SKUs, you're probably rather a Shopify customer, but if you want to build great customer experiences and tailer the software to your business, Commerce Layer is a very good choice.
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.
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.
The new apps are great, but in our case, we built so specific functionalities around it that we built our own admin tool. Based on the complexity (especially for after sales processes), no off the shelf tool would have been able to do this.
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.
The Commerce Layer data model is very flexible, which also creates a certain complexity. It's important to understand how the data model works and how relationships between them are built.
Real headless solution, fully SaaS. In comparison to all other solutions, Commerce Layer has an integrated order management which is lean, but very flexible. With all other solutions, we would have needed a separate OMS which would have increased both the complexity and the cost of the solution.
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.
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.
