Adobe Experience Manager is a combined web content management system and digital asset management system. The combined applications of Adobe Experience Manager Sites and Adobe Experience Manager Assets is offered by the vendor as an end-to-end solution for managing and delivering marketing content.
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Algolia
Score 8.4 out of 10
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Algolia offers AI-powered solutions to improve online search and discovery experiences, with tools for business teams and APIs for developers that help to improve user engagement and conversions across websites, apps, and e-commerce platforms.
$0
per month 10k search requests + 100k records
Pricing
Adobe Experience Manager
Algolia
Editions & Modules
No answers on this topic
Build
Free
per month Up to 10,000 search requests + 1 Million records
Grow Plus
Free / Pay as you go
per month 10K searches/month & 100K records included; $1.75 per extra 1K searches, $0.40 per extra 1K records
Grow
Free / Pay as you go
per month 10K search requests & 100K records included; $0.50 per extra 1K searches, $0.40 per extra 1K records
Elevate
custom
per year
Elevate
Custom
per year Custom search requests and records — volume-based discounts available
Offerings
Pricing Offerings
Adobe Experience Manager
Algolia
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
—
Pay as you go, scale instantly, or upgrade anytime for advanced features and capabilities.
I'll answer the second one because I mean, the first one I don't have an issue with. The second scenario is we oftentimes have the need to spin off very small campaign style sites or sites that generate leads but are unbranded and that sort of thing. So that's hard to do in AEM because you have to then create another organization within AEM to do that. And we're talking about sites that are maybe five to 10 pages in size. So we've been investigating Edge, but then that's a different workflow, so we'd have to train people on that. So it would be nice if there was something within the AEM structure that could allow you to do something very similar to Edge, where you make some small micro sites that are not necessarily branded, that you could still host within the platform and not have to retrain everybody on a completely different platform.
I'd definitely recommend Algolia for a business operating in the ecommerce space and looking to integrate search quickly. Using the tool is easy to set up and works well. Out of the box you can have search, autocomplete, and recommendations that are all integrated. If you integrate directly, Algolia works well for also using their internal A/B test system. Areas where Algolia can be harder to use are in user-generated marketplaces. On a site where you control / own / produce all your inventory of results, you are solely optimizing for revenue/conversion. When you have a platform where there are different creators for each item, you need to balance revenue optimization with trying to support the business goals of the sellers on your marketplace platform. Algolia offers less tooling there which can be difficult and will require you build additional tooling/monitoring for that. Given that need, you likely cannot use all of Algolia's UI tools like A/B testing.
It allows us to scale so that we can make a change on a global footer. And it applies to all of the different property websites. It allows us to set up components and compartmentalize things in a way. The big thing is that it's scalable. And then it also ties into Adobe Analytics and other Adobe products. So we are a complete Adobe shop. Every Adobe product that we can use, we use. I don't think we do it for marketing so much, but for doing target testing and analytics, data scientists are using the same product and so it all speaks.
Users get instant feedback as they type, even with complex filters like brand, model, price range, and financing eligibility. This speed significantly improves engagement and reduces bounce.
A user searching for “Camry 2020” or even “Camary 20” still sees relevant Toyota Camry listings from 2020. This reduces friction, especially on mobile where spelling errors are common.
Algolia handles multi-faceted filters efficiently. For example, a user can filter by location, transmission type, color, or inspection status without any lag.
We fine-tune the ranking of search results based on what matters to our business—like prioritizing cars with higher margins or better availability in key cities.
We can experiment with different ranking formulas or UI variations to improve KPIs like lead conversion or time-to-first-interaction.
Can sometimes be difficult to troubleshoot bugs/issues as they arise
Sometimes difficult to set up restrictions on how components can be designed to make sure they fit in with existing content
While the integration with Adobe target works fairly well, the process can be a bit opaque and hard to understand, making it difficult to troubleshoot when issues arise
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.
We had and still have a fantastic experience using Adobe CQ. Lots of flexibility, great integration with other Adobe products we already use and a powerful technology make it a great fit for our corporate environment. Also as the community grows, it makes it easier to network with other developers and users to get new ideas on how to continue to get the best out of the software.
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.
It depends if it is from an administrator point of view or from a business content author point of view. I think from business author point of view the solution is good and with the GEN AI capabilities coming it is doing better and better, however from an administration point of view there are still a lot of improvements to ease the maintenance of user access management and as well as the integration configuration aspect.
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
Being part of Adobe Suite means you are already notified when the tool has any outages. However, I have never faced unplanned outages. Whenever you face any issue with the site, it is clearly stated if there were any planned outages and how quickly you will be back to normal. So, I will say that even the outages are planned and managed in a great way like their other services.
With respect to performance, Adobe experience manager is one of the best in the CMS space. We didn't observe frequent slowness on platform, however the systems which are accessing experience manager should be of good specifications without which slowness would be observed. Adobe experience manager works well in integration with other solutions, unless the destination application is designed to trigger frequent calls to AEM.
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.
Adobe Experience Manager, in all its capacity, is a great alternative to any other CMS you are using. It helps in rapid development and makes life easier for maintaining the website for multi-language sites. Technical know-how is eliminated at content authoring. Better documentation in terms of live examples with videos would be appreciated.
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
Depending on your individual needs, It is really quite simple to create an authoring experience for a website that looks really good. I have been part of many implementations and many teams and have seen many projects that were super successful and others that were not implemented well. AEM has room for a lot of flexibility in the implementation process compared to other CMS like SharePoint
Overall, I prefer AEM as an enterprise site management tool. It allows levels of access control and delegation, while leaving the server management and updates to a specialized team. I do miss the flexibility of being able to search and replace that I have in a WordPress site, and I miss the ability to have one file for redirects like I had in percussion
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.
Instead of being directly involved in the tool purchase, I am involved in analysis or what we can use to maximize the tool. Small organizations may find it expensive. However, if the team or organization focuses more on your ROI or the features you will get, then it will definitely be worth it. Pricing is based on a number of factors, including team size or the use of the tool. The user can select the pricing option that best fits their needs based on the number of form submissions they make or the number of pages they wish to publish on their global/multisite sites.
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
The professional services team within adobe is one of the best in terms of technical and solutioning knowledge. However, considering the billing charges of adobe professional services team, it is always recommended to involve them during platform initial setup or when a complex solution is to be built with platform customizations.
too soon to tell on increased conversion rates based on external marketing factors in play but having increased visibility into customer engagement trends will most likely lead to improvement of our conversion rates.
There have been productivity gains from the perspective of actually migrating all of our externally managed sites to the same in-house Adobe Experience Manager platform and then being able to utilize those universal components.
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.
