Bloomreach personalizes the customer experience for brands around the world. Loomi AI, its agentic platform, understands customers in context — then tailors their experience in real time. Connected to applications at every touchpoint, Loomi AI brings personalization to life across email, web,…
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Elasticsearch
Score 8.5 out of 10
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Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.
$16
per month
Pricing
Bloomreach
Elasticsearch
Editions & Modules
No answers on this topic
Standard
$16.00
per month
Gold
$19.00
per month
Platinum
$22.00
per month
Enterprise
Contact Sales
Offerings
Pricing Offerings
Bloomreach
Elasticsearch
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Bloomreach pricing is quote-based. Bloomreach pricing is customized to the number of customers served, product catalog size, and the number of events executed – such as how many emails or SMS messages are sent.
DUe to AI based algo. Elastic search is just a search based platform and it doesnt provide the feature bloomreach experience provides with content management which is completely cloud based. Also bloomreach merchadizing tools and SEO solutions keep them apart from the other …
One scenario Bloomreach is particularly suited for is omnichannel abandonment campaigns. We have scenarios that look whether a customer has been into one of our stores, and then if they are subscribed, we can send them more information about the products they have viewed. That wouldn't be possible without Bloomreach. Another scenario that Bloomreach is well suited for is price drop - we can alert users that an item they've viewed has dropped in price, and this has been a really successful campaign for us.
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.
The product recommendations engine allows for us to create a personalised experience for every customer across the 3m emails we send each month. This ensure that our customers remain connected to our brand.
The customer data platform attached to Bloomreach Composable Personalization Cloud provides an all-in-one solution for our business intelligence needs. Allowing up-to-date purchasing, behaviour, and engagement reporting from our email to website activity.
The ability to integrate with Meta and other paid ad formats allows for us to create a connected omnichannel experience for users, ensuring we are providing the right message, to the right person, at the right time, in the right place.
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.
We are extremely satisfied with Bloomreach. It is a central and indispensable pillar of our personalization and data-driven marketing strategy. The platform provides us with unparalleled scalability across 27 countries and guarantees high availability and stable performance, even when working with an enormous volume of data.The fact that the platform is intuitive and allows a wide range of our teams (from CRM to UX) to work effectively with personalization significantly reduces our dependence on IT support and accelerates campaign deployment.Given the robustness of the architecture and the positive results we are generating across channels, renewing the contract is a logical step to ensure our future organic growth.
In my time working with Bloomreach Commerce Experience Cloud, I always liked to work with it. It is crucial that you get support from experts from the beginning to show you how to work with the vast amount of options and activities to choose from. The learning curve is also well-rounded because of its user-friendly interface and highly skilled customer support.
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.
The platform is generally reliable - major outages are rare and most day-to-day campaign operations run without interruption. Where it dips: occasional slowdowns in the analytics dashboard during peak loads, and sometimes scenario executions get delayed without clear explanation. The real-time event processing is mostly solids. Overall uptime is strong - it is not something that keeps me up at night, but it is not flawless either.
Performance in Bloomreach Content is quite good but you need to be ready. Your implementation should follow all the good practices (avoid crazy patterns) and the environment setup should be the right one. With all that, Bloomreach's performance is quite solid. Our usage makes use of complex queries and most of them are really quick. Only when you need something really complex and you aggregate queries that should be separated you would get slower results (but then again, that is not a good practice for any platform).
The project team consistently delivers excellent collaboration and is always available whenever assistance is needed. Their responsiveness and commitment make working together smooth and efficient. Bloomreach support, which is included for free in the platform, can also be quite useful, especially for quick clarifications. However, the quality and speed of their responses can sometimes vary, depending on the issue.
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.
Bloomreach is far superior than SFMC as that platform requires too much technical knowledge. Ometria is very good and I would say is quite similar to Bloomreach although I would say Ometria is a smaller company. Dotdigital is also very powerful but not more so than Bloomreach. This being said, Dotdigital and HubSpot does have telephone support which is amazing and something I would like to see from Bloomreach in future or at least shorter wait times for customer support live chat.
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.
there is an option of multiple projects per organisation, customers and assets can be copied across. Multiple sites can be managed in one project, different activities organized under initiatives. Splitting work into sensible units is therefore well possible. The billing is based on number of tracked and number of stored events, no package-based deals. It should therefore be well scalable from a small e-store to a large corporation.
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.
