Adobe Commerce delivers personalized shopping at scale. Delivered as Adobe Commerce as a Cloud Service (ACCS), it boosts conversion with an AI-powered storefront, built-in merchandising, and GenAI-driven content. ACCS supports rapid expansion through multi-site, multi-language, and multi-brand capabilities, handling millions of SKUs, complex catalogs, and custom pricing. Always-on SaaS innovation lowers total cost of ownership by removing upgrade overhead and minimizing…
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Algolia
Score 8.5 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 Commerce
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 Commerce
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
Must contact sales team for pricing.
Pay as you go, scale instantly, or upgrade anytime for advanced features and capabilities.
Adobe Commerce is in the lead, more scalable and flexible than Shopify, more robust than Kibo and Big Commerce and more open and easier to implement than Spryker and Salesforce. It is a strong contender for organization with development capabilities, needing a multisite, …
Algolia provides the best user experience, ease of integration and implementation, extremely high performance on large catalogs. The features offered are powerful and complete, with machine learning systems to improve result personalization. The service management can be done …
Amazon is great for huge companies that have a team to support this feature in particular but if you are a small to medium business, Algolia is more manageable.
Elasticsearch is its direct competitor, but I would say that it is more focused on performance and less focused on aesthetics and recommendations. If you are thinking of getting Algolia, I would recommend that you also compare it at least to Elasticsearch. Either one is a good …
Algolia works well in tandem with Magento and provides a large number of tools and features that provide greater control and adaptability as compared to other solutions we reviewed. Algolia has demonstrated its commitment to continual innovation, providing access to next-gen …
Primarily B2C focused, I think that the B2B features are increasing but the core focus of the platform (and Magento) is really consumer-based. That said, if you are looking for the fastest time to market with minimal investment option then Adobe Commerce is likely not the option that 9 out of 10 people would opt for nowadays.
Algolia is both well-suited to replace Shopify's out-of-the-box search and to very large sites with millions of products in their catalog. Algolia provides a specialized solution that benefits from very large R&D budgets and ongoing investment. Algolia offers a more retail- and open-design solution than competitors such as Amazon or Google search, which offer fewer options and fewer features.
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.
Magento Commerce Cloud can be complicated to develop for. In our field, it has been a struggle at times to find qualified developers.
Our merchandising team sees performance issues from time to time. Updating a product and waiting for the change to clear the queue can take up to an hour in some situations.
Because of the incredible amount of features that Magento Commerce Cloud offers, training new employees to use Magento takes a long time.
Better integration of features (ex. synonyms feature is great but isn't respected by their re-ranking product)
Tooling to reduce spam search queries being triaged by system/logged to analytics panels
More automated summaries of analytics (ie. recommend synonyms to add, trends noticed in search volume in specific areas of site, easier ways to leverage API vs using website UI)
It has the best overall price point. It is super cheap and the connection between our ERP system is unmatched by any other Ecommerce sites we have talked with. We honestly can't get this level of complex customization without having to spend a fortune somewhere else. It is able to do everything we need it to do for the right price.
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.
Being unable to store quotes for later was annoying. People called up expecting to pay there and then, and having to place them on hold whilst you added items to the basket and input all their customer information in was annoying for them and us, making us look unprofessional.
Personally I find the Algolia integration not very complicated and the service super reactive. In terms of configuration, it's quite complete, at the end what matters is what we are able to index on Algolia. With rich data, the tool is amazing and a lot of things are possible.
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.
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
Magento Commerce was previously put into place and used right when I came onboard. We used it for quite some time, but ultimately the need for our company's specific customizations became too difficult to manage during core updates. We specifically needed a more specialized way of calculating shipping, connecting with our 3PL's inventory API, managing specialized discounts and codes, and even the way we showcased information on the product pages.
Algolia gives way more control for a non-developer than AWS Elasticsearch Service. Previously we'd have to have our developers make adjustments to site search relevancy, typos, prioritizing certain attributes over others, etc. but now the marketing and website team can do that themselves in the Algolia dashboard
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
Great for SEO. We have been able to build out a huge number of highly targeted pages on the site that have propelled our SEO to the next level
Magento plugs in with many third party tools including ERP's, CRM's, shipping tools. It is a core part of our tech stacks and has allowed us to improve our capabilities as a business.
Has enabled us to provide a best in class web experience for our customers. We are constantly expanding the capabilities of Magento and to improve sales and grow our business.
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.
