Algolia vs. Elastic Enterprise Search vs. Klevu, now part of Athos Commerce

Algolia is perfect if you need an excellent search engine and want to transfer your PLP management (browsing) to a third party. Algolia is good at mixing products, user behavior, interests, and business rules. Maybe it's less appropriate if you are using an all-in-one e-commerce platform where you get a good search engine or a marketing platform that also connects other features like a client database, first-party data, recommendation services, etc., all included in the same bill/integration.

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Swiftype is excellent for e-commerce companies and especially the financial services sector where speed plays a major role in executing transactions. It is also very dynamic and customizable. It is very useful for electronics/travel reservations on e-commerce sites also. The only place it is inappropriate is when it comes to indexing a website in which case Google is slightly better, as I mentioned before. There is nothing much to complain about here in regards to the breadth of applications and analytics it offers.

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I think Klevu is a great solution for brands looking to enhance their website. They have templates that may work for brands that don't have a tech team. Their product offering can also be fully customizable but this would require some development work on the brand end. Overall, would recommend them!

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• 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.

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• It's very easy to implement. The documentation is great and you can be up and running very quickly.
• It's easy to configure. The web-based user interface makes it super simple to configure (i.e. customize search rankings, edit synonyms, etc.).
• Their support is very friendly and helpful. Whenever I had a question or couldn't figure something old, they were quick to help me out.

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• Great customer success team
• Always sharing with us their latest product offering
• Their technical support team is very helpful and willing to hop on calls with us

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• 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)

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• Swiftype does not have indexes ready to go. When you add a new website to the search set, it takes some time to index the website. This is something that is different from what Google does. Google in this particular aspect does a relatively better job.
• Swiftype is very expensive, this makes it difficult for smaller companies to afford.

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• I think you definitely need someone technical in house to help assist and customize
• They're pretty stern on pricing

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After working 8 years and through 100+ implementations on international sites, Algolia beats the alternatives on several grounds. It offers a fair price that brings a ROI ; It has the financial backbones and the interest in investing in R&D more than any other competitors. It is a true specialized and not an add-on, and thus benefits from a very strong engineering and innovative approach. The tool is very reliable and fast

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Most of the setup is easy enough if you have some technical/web dev/IT background, but once it's set up, you can have end/power users maintain some settings, like adding search terms. Algolia is a powerful search tool and integrates easily with Shopify.

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100% uptime for as much as we were aware :P

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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.

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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

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

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Google Search Appliance is no longer supported. Apache Solr is a popular, free open source solution, but it lacks a web crawler and is more difficult to configure and maintain.

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Algolia has been a consistent product that works flawless with very few errors or downtime. With the plan options it’s very easy for us to scale especially with this usage pricing. We have 100% gotten our ROI on this product.

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• 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.

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• It has a positive impact as it helps traders and other users to seamlessly use applications.
• It has a positive ROI and we would know the results in time to come.

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• Seeing a 2x increase in conversion rate

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