Algolia in San Francisco, California offers enterprise search as a service.
$0
per month 10,000 search requests + 1 Million records
Bloomreach Commerce Experience Cloud
Score 8.6 out of 10
Mid-Size Companies (51-1,000 employees)
Bloomreach personalizes the e-commerce experience. Its data engine unifies real-time customer and product data so businesses understand what customers really want. By connecting that understanding to every channel, the e-commerce experience becomes limitless — reflecting a changing customer as they shop. Amplified by the speed and scale of Loomi, Bloomreach's AI for e-commerce, this creates endless new paths to purchase. Bloomreach products include:
N/A
Pricing
Algolia
Bloomreach Commerce Experience Cloud
Editions & Modules
Build
$0
per month Up to 10,000 search requests + 1 Million records
Grow
$0.50
per month per 1,000 search requests
Algolia Recommend
$0.60
per month per 1,000 Recommend requests
Premium
Custom
per month Customized pricing
No answers on this topic
Offerings
Pricing Offerings
Algolia
Bloomreach Commerce Experience Cloud
Free Trial
No
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
Optional
Required
Additional Details
Pay as you go, scale instantly, or upgrade anytime for advanced features and capabilities.
Algolia offers a wide range of capabilities that can benefit any business by addressing their specific requirements. Integrating with this platform is seamless, and their extensive knowledgebase and training resources are highly valuable for both developers and UI users. We have already witnessed the advantages of this product and are eagerly anticipating future enhancements as we continue to expand our platform, with Algolia as our primary tool for enhancing our search experience.
Bloomreach has great support. So when you feel a bit lost or stuck on a problem, there is always somebody to help you out with your problem. Not just in a chat, but also on zoom call where you can explain or show your problem. Also they always check if the problem is solved the other day and if everything is working as I need.
All in one. We have experience working with other CDP/Marketing suites and it is really difficult to connect their different modules. Bloomreach Engagement has been built to be a single product which makes everything easy to use
Fast and real-time. Other platforms struggle with getting real-time volumes or segmenting based on real-time events, that is not the case with Bloomreach Engagement
GCP partnership. Being deployed over GCP and having BigQuery as raw data export makes really easy to expand and connect with existing stacks
Recent pricing model changes made Algolia considerably more expensive. I understand that companies change their models all the time, but my plan almost doubled in price overnight. They let me keep my legacy plan for as long as I wanted, but I had already outgrown it, so a small increase in demand caused big price spikes. It's still cheap for what it is though.
The documentation is generally good, but sometimes hard to navigate. I was trying to find examples of how to combine geo-queries with normal ones, and I couldn't find an example, but it wasn't actually hard to figure out.
Some of the advanced features can be hard to understand at first. This isn't really a con, as it just means Algolia is loaded with features, but I was a bit overwhelmed the first time I tried to customize an index.
While Importing the offline data, sometimes the auto detection is failed to detect the csv file
While we import with wrong mapping, even after pressing escape before the import starts, its not cancelling the import. it start running. It would be great if it stops the import
it would be great if we receive email for successfully finished imports too
Algolia is a great tool, we didn't have to build a custom search platform (using Elasticsearch for example) for a while. It has great flexibility and the set of libraries and SDKs make using it really easy. However, there are two major blockers for our future: - Their pricing it's still a bit hard to predict (when you are used to other kind of metrics for usage) so I really recommend to take a look at it first. - Integrating it within a CI/CD pipeline is difficult to replicate staging/development environments based on Production.
So far, Hippo is our ideal tool given its use of open standards which helps us to have a clear overview of what's coming next in the future Hippo releases. We are very confident in the future-readiness of the product
Algolia has a good interface and they have done some improvements. However, some non technical users have a challenging time in the use for the first days of learning. But once the main aspects are learned is a straight forward operation
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.
99% of the time the site is available for when we need to use. With any cloud based software there will be occasion that there is an outage but this is communicated effectively and dealt with quickly. This has never got in the way of what we need to do in our day to day work and wouldn't be thought of as a problem
Performance is always a major concern when integrating services with our client's websites. Our tests and real-world experience show that Algolia is highly performant. We have more extremely satisfied with the speed of both the search service APIs and the backend administrative and analytic interface.
The search API is very fast (150ms), even considering we have nearly 2 million products in our catalog. The console pages where you do your configuration, add ranking rules and synonyms are sometimes a bit slower to load, but your customer would not notice any of that. The reports pages are also not the fastest, but definitely okay
It’s non existent. No tech support and no customer service… my application was blocked and is currently inactive causing huge business disruption, and I’m still waiting days later for a response to an issue which could be resolved very very quickly if only they would respond. Very poor from a company of that size
When I get through to support they are absolutely amazing but I think sometimes the wait can be too long. From experience I also know HubSpot and Dotdigital allow for live calls or call-backs which gives you that extra layer of support and satisfaction. That alone would have taken this score to a 9.
While AWS's offering is a typically cheaper solution, it requires a lot of work to gain any of the core features of Algolia. The cost of dev time and long-term maintenance would be more than the costs incurred with Algolia, which is why it made the most sense financially. On the engineering side, we could give our stakeholders access to Algolia to adjust the indices themselves, which would allow us to focus on other work.
Bloomreach is a really easy to use platform compared to other CRM systems and allow faster integration to the other data sources. It allowed deduping services and the ammonization feature for data protection is really easy to set up which fields contain personal information and therefore remove the data when a customer request it.
Overall is a scalable tool as the environment and the backend functions are the same and many things are done directly on the tool so without the need of further specific developments. However some things could be improved such as documentation for integration that could help in doing whitelabel solutions
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.
Users who had abandoned our product (attributing slow search speeds as the reason) returned to us thanks to Algolia
We used Algolia as our product's backbone to relaunch it, making it the center of all search on our platform which paid off massively.
Considering we relaunched our product, with Aloglia functioning as its engine, we got a lot of press coverage for our highly improved search speeds.
One negative would be how important it is to read the fine print when it comes to the technical documentation. As pricing is done on the basis of records and indexes, it is not made apparent that there is a size limit for your records or how quickly these numbers can increase for any particular use case. Be very wary of these as they can quite easily exceed your allotted budget for the product.
