Elasticsearch vs. Salesforce Agentforce Commerce

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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Global Sites; larger commerce organizations but not too large where the % rev-share would affect its feasibility in a feature comparison. Salesforce is rock solid in infrastructure and rarely has outages or issues; it scaled appropriately for holiday peak and was able to accomplish anything we put our minds to as long as we staffed development appropriately. The latter, however, is not to be overlooked. Developers are necessary and expensive.

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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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• Traffic - When we have sales, our traffic will increase exponentially and their cloud can handle the huge uptick in traffic we receive without overloading our servers.
• Site updates - it continually monitors in the background for any upgrades or updates needed so we don't have to go in and do it ourselves. A real time saver!
• Integration - outside plugins and add-ons are easy to install with Salesforce commerce cloud as it allows a seamless integration of extra plug ins onto our site.

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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 UX within the Business Manager portion of Demandware, the primary interface for marketers, is generally a confusing, inconsistent mess. Particularly infuriating are the lack of consistency for search and sort behavior within the tool.
• A number of useful features, such as the ability to set schedules or tie features to unique customer segments, have seemingly arbitrary limitations imposed.
• Demandware's idea of leveraging the community to be a learning resource and a sounding board for new ideas and features is a nice theory, but in practice it doesn't work for businesses with a lot of customization. I'm left with the impression that individual support is not a priority.

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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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A huge factor influencing our decision to remain on the Demandware platform is that our new parent company is standardizing all its luxury brands in the US on it. We are fortunate. However, even if we had remained an independent company, I believe we would continue on the Demandware platform for all the reasons outlined in this review. I appreciate the stability the platform has provided to our eCommerce site in the last three years as well as the continuous improvements and technological advances being rolled out that will allow us to keep the site fresh, engaging, modern and stable. I've heard many horror stories from colleagues on other platforms who struggle with the expense and complexity involved with making what should be minor and simple changes and updates to their sites.

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 overall ease of using the system. Consolidation in location for our team members. Mobile application for on the go research, as many of our team members are constantly traveling to job sites or to meet clients. No more duplicate calls to current customers, since we have 12 different divisions that span the company. Mostly the ability to look at the database when our team members begin cultivating a new
lead/prospect with a potential customer to see if anyone within the team has a
relationship with that person or the company they work for.

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We have only had one instance where the platform went down in the time we have been using it.

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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They are very responsive and a support technician will be assigned quickly. Even if there is further clarification needed for the ticket, or a solution is not immediately available, you feel that someone is there and staying on top of the issue. Most common issues are resolved quickly and satisfactorily.

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The in-person training was thorough. Trainer was pretty dry, but covered everything really well.

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

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Implementation went fairly smoothly.

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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When I think of Salesforce products, I sometimes think of them interchangeably as one big lump. It's hard not to be incredibly immersed in the ecosystem day in and day out and taking advantage of resources like Trailhead. While Microsoft Dynamics compares in quality and offerings, it doesn't offer the same engagement and resources as Salesforce in its communications, social, and marketing, which makes a difference in terms of relevance and help. Commerce Cloud comes with the support you need to succeed and the tools you need to grow. In a high demand consumer world, we need products like this to keep up and get ahead. The minute we catch up, we're behind. Salesforce helps you stay on pace and create the unique and personalized experiences customers everywhere expect.

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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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• In my experience I see most of the retailers see better sales after moving to Demandware.
• Site performance is really good if the application built with best practices suggested by Demandware.
• Service integrations have some limitations in terms of quota etc but still all are inside manageable grounds.

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