Elasticsearch vs. Salesforce Experience Cloud

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Elasticsearch
Score 8.7 out of 10
N/A
Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.
$16
per month
Salesforce Experience Cloud
Score 8.2 out of 10
N/A
Salesforce Marketing Cloud Engagement (formerly Salesforce Experience Cloud or Salesforce Community Cloud) is an online forum powered by Salesforce that enables businesses to connect with their employees, customers, partner organizations, and prospects. Designed to help facilitate communication and information sharing, customers can ask questions and request help, administrators can integrate data from third-party apps, and employees can collaborate across projects and…N/A
Pricing
ElasticsearchSalesforce Experience Cloud
Editions & Modules
Standard
$16.00
per month
Gold
$19.00
per month
Platinum
$22.00
per month
Enterprise
Contact Sales
No answers on this topic
Offerings
Pricing Offerings
ElasticsearchSalesforce Experience Cloud
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
ElasticsearchSalesforce Experience Cloud
Best Alternatives
ElasticsearchSalesforce Experience Cloud
Small Businesses
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Medium-sized Companies
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Score 9.6 out of 10
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Score 9.0 out of 10
Enterprises
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Score 9.6 out of 10
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Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
ElasticsearchSalesforce Experience Cloud
Likelihood to Recommend
9.0
(48 ratings)
8.8
(71 ratings)
Likelihood to Renew
10.0
(1 ratings)
9.0
(1 ratings)
Usability
10.0
(1 ratings)
8.1
(15 ratings)
Performance
-
(0 ratings)
9.1
(5 ratings)
Support Rating
7.8
(9 ratings)
8.0
(18 ratings)
Implementation Rating
9.0
(1 ratings)
-
(0 ratings)
Ease of integration
-
(0 ratings)
9.4
(4 ratings)
User Testimonials
ElasticsearchSalesforce Experience Cloud
Likelihood to Recommend
Elastic
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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Salesforce
For well-suited, this product is great for your external clientele groups that you would not necessarily want to have a high user fee rate for. So basically general public or a group that will be authorized to come in and just do a few things here and there, but you don't necessarily want them access to all of your systems and your data points for groups that it would not be a great use for. I'd say probably your high level internal staff, they're going to be using a lot of the backend functionality automations, evaluating data, managing data, and doing custom inputs. That's just not what's intended for.
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Pros
Elastic
  • 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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Salesforce
  • Easy to use, just like Salesforce's other products. Many users can sit down and figure it out in no time, and with a little training become power users.
  • Fast and secure - Salesforce is a leader in the cloud world so you get consistently fast results and security that is top notch in the industry.
  • Accessible from anywhere - if you use cloud CMS already this is a no-brainer, but for those that do in-house CMS still, this is a major difference. Mobile access from anywhere on the planet without a VPN is something you just can't do without the cloud.
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Cons
Elastic
  • 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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Salesforce
  • Unlike other CMS platforms like Wordpress and Adobe Experience Manager, Salesforce does not provide a fully featured editor with a drag-and-drop design tool.
  • Our content creators and marketing team often struggle with permissions and how to distribute content across different experience cloud sites.
  • Also, there is no side-to-side comparison view for content editors to update the content easily.
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Likelihood to Renew
Elastic
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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Salesforce
Renewal exercise is already underway. Platform is to ubiquitous to not leverage, especially at a Fortune 50 firm
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Usability
Elastic
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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Salesforce
Strengths: - Intuitive for Salesforce Users – If you’re already working within the Salesforce ecosystem, the Salesforce CMS is easy to navigate, with a clean UI, drag-and-drop content management, and reusable assets for quick updates. - Seamless Integration – Since it connects natively with Experience Cloud, Marketing Cloud, and CRM, it allows for efficient multi-channel content distribution without needing extra third-party tools. - AI-Powered Personalization – The ability to deliver dynamic content based on user profiles and engagement data is a huge plus, making content delivery more relevant and impactful. Challenges: - Learning Curve for New Users – If you're not already familiar with Salesforce, the interface can feel overwhelming, requiring training to fully leverage all features. - Limited Customization & Workflow Automation – While it works well for structured content, advanced approval workflows and deep editorial customization are limited compared to enterprise CMS platforms like Adobe Experience Manager. - Media & Design Limitations – Salesforce CMS is not as robust for managing rich media-heavy content, which can be frustrating for teams needing more flexibility in multimedia presentation.
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Performance
Elastic
No answers on this topic
Salesforce
Again, since we provide and recommend solutions, I can't speak to every client's individual experience, but can offer general reflections as to keep their collaborations private, that they are satisfied with the experience. We hear a lot about how this system helps to encourage collaborations between their own business partners, customers, and internal members, and enables quality integrations with other products that help drive revenue.
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Support Rating
Elastic
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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Salesforce
Although support from Salesforce itself can be quite unresponsive sometimes, the community hub is incredibly helpful. The large user base of Salesforce products contribute to troubleshooting and the forums are a powerful tool for finding solutions and possible bugs and response times can be quite fast compared to your regular support channels.
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Implementation Rating
Elastic
Do not mix data and master roles. Dedicate at least 3 nodes just for Master
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Salesforce
No answers on this topic
Alternatives Considered
Elastic
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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Salesforce
Salesforce Experience Cloud was selected due to its tight integration with our existing Salesforce CRM platform. Customization of the portal was much, much simpler compared to Sharepoint - especially with role-based security parameters that are ultimately inherited based on attributes within the Salesforce CRM platform. Salesforce Experience Cloud was a natural fit for this customer-facing purpose.
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Return on Investment
Elastic
  • 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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Salesforce
  • Time savings for our customer success team - no need to continually follow up on tickets as customers have access to see status themselves
  • In the future, it will also allow us to create more impactful knowledge articles that will increase self-service over ticket creation
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ScreenShots