Algolia Reviews: 4.6/5 — Highly Rated

Easy to use, greate UX, excellent support

Nothing to dislike, maybe some tutorial and online resources might be helpful

Without nebulae I had to setup elasticsearch and configure it myself, for our small product it's overkill

It provides many functionalities that Shopify doesn't have. Instead of reinventing the wheels I would recommend using Algolia.

It takes me some time to learn and adapt. But perhaps this is because my company has many requirements.

Basically, Shopify provides not enough functionality for a modern e-commerce site. E.g., the tag filter logic can only support AND logic but not OR logic. Algolia helps us build a more sophisticated product filter.

Algolia gives good search functionalities with easy indexing, good documentation, and typo tolerance.

Recent change in UI at algolia is making many functionlities difficult.

Indexing for resume parsing.

Query rules in Algolia allow you to improve the relevancy of results. Instant search provides fast results to the users. You can build multiple indices and facets, providing multiple options for admin users to implement merchandising strategies around profitability.

If you have a large number of SKUs in your product catalogue, it can take quite a while for Algolia to index all the product data. The premium plans is quite expensive as well if you have less than 400 orders a month.

Algolia enables e-commerce retailers to control the merchandising of their products better. Creating rules is easy in Algolia. The platform has multiple options and variables that can be used to create those rules.

Easy integration as well as extensive documentation around integrating with Algolia in the code. UX for business users to update/manage search as well was a huge boon.

The react library left a lot to be wanted. Recent improvements by algolia have helped improve the integration with our frontend. Recent UX/UI changes have made it harder to navigate around the site.

Algolia is solving the problem of maintaining and paying for an internal instance of elastic search while also providing cutting edge extensions to the search they provide.

Incorporating algolia into my netlify site, while not as straightforward as it can be, was not too difficult. The developers are responsive on github issues. Algolia improved search functionality on my site: instant search, has option to take users to relevant section.

The algolia logo they insert on the drop down result menu

Algolia improved search functionality on my site: instant search, has option to take users to relevant section, everything wrapped up in one plug and play package.

Algolia works for me because I get to construct an optimized search engine to look for real estates involving several filters and parameters.

I had trouble learning how to use it, I think sometimes I had issues with the internals and the quick support, too much to read.

Algolia impacted our work by providing a very good search engine to our customers.

The ease of use of the service. The seamless integration using Docusaurus V2.

The not so easy integration with Github actions to run docker containers of Algolia Docsearch scraper.

Having a docsearch on my website so that I can easily look for sections/paragraphs.

I really like Algolia, it is a search engine that gives you results in an incredible way and shows you the possible products you are looking for, according to the configurations you make and thus be able to offer the best user experience.

Nothing bad to add from this tool, but taking into account other programs I think its price is very high.

It is suitable for searching products in an e-commerce, at high speed, just by adding the product information you want, with Algolia we get immediate information about what we are looking for, easily and simply. We really loved how fast the search for Algolia is loaded.

Faceting and speed. Faceting has improved user experience.

Customization limitations on filters, for instance for array. The object index size is a worrying factor, which it should not be.

Moving our search to Algolia has saved a lot of power consumption on our server side.

Admin tool is well equipped and highly functional. It's fairly easy to use and understand quickly. It is easy to debug inside the admin tool.

Some API documentation and react instant search documentation is a bit lacking. Particularly with connectors for react instant search, you have to read the github repo code to understand how to really implement it. Pricing has increased a lot since we first used it. We are lucky to be on a legacy plan but if we ever need to update it, as a startup company, we are unlikely to be able to afford the same level of features.

It is a fast search tool for catalogue of products. Great for customizing your own catalogue page but at the same time utilizing their search capabilities with filters.

- Ease of setup - Progressive pricing without hard limits - Speed and relevance of results, even with typos! - Unlimited number of indexes, allowing you to organize your data the way you want - Support is always available to help you configure complex indexes - History of indexer and query performances

- Index settings can be tricky to customize without the help of the support - Not enough tools to explore indexes and manipulate them through the interface - No quick search tool in the dashboard (oh, ironic!) - Step in the pricing is too steep: no 49 to 249$ is a huge step if you overflow your quota of the initial plan...

We don't want to maintain the infrastructure needed to allow our customers to search through their data in our app. Algolia allows us to push data of our users in indexes so they can query Algolia after to get results from anything (entities, invoices, documents...)

I like how fast it is. It makes search functionality really easy to implement from the UI standpoint.

It's still somewhat a black box for me. I don't fully understand how data is loaded to Algolia and what functionality Algolia provides that could enhance my application.

Algolia helps me quickly search for products. I use the facets feature extensively and like how fats it is.

The speed, the ease of development, the dashboard.

It is (apart from the speed) quite unsophisticated. The entire model is geared to get you to pay more, more, more; which is a bit sad. Bug reports are countered with "we can only fix that on an enterprise server" (which is $1500+ per month).

We are solving documentation search. It is amazingly fast, which helps with refinement of the search query.

The core search functionality is great, reliable and fast. Their additional value add functions are good, but most are not worth the additional costs. Admin and integration is difficult (M2) and does require technical dev/sys admin.

Their cost structure and quoting are smoke and mirrors and increasing rapidly. They are making it difficult to understand, predict, manage and rolling out increasingly hostile overages. The end goal appears to allow themselves the first glance view of being competitively priced to get you contracted in, then hit you with overage charges. They know that switching between suppliers is costly - thus most customers wont.

Great for controlling complex searches for fashion, allowing us to control results for things like newness, stock levels, discounts etc. We also use their preview search to great effect allowing people to adjust their searches on the fly using the visual feed back of the garments. We also inject promotional content into search eg: Search Socks and the "Socks Multibuy" banner comes up in results.

Simple and transparent pricing (and free hacker plan) Easy indexing (whether it be from their dashboard or via their API) Transparent and easy tuning Typo tolerance Multiple language support Geo-search capabilities Intuitive dashboard & analytics

The price is slightly high, however for the service it provides, it isnt a bad option!

Used for searching and completing work, lots of benefits!

The search function is quick, not the fastest, but quick enough. The reporting is ok, but tough to drill down to specifics like other search vendors.

The reporting needs help. Requires support to dig in deeper. Support is difficult and slow to make contact. Submitted support ticket and didn't receive response for 3 business days. Company started double billing us for 5 months and when asked to stop double billing and credit our account, they did not respond after several attempts. Had to get credit card company involved.

Content search that isn't avaiable with OOTB MAGE.

The product itself is excellent- when it works.

There is no customer support, so when things go wrong you wait days for a response. Also their billing platform is buggy af, and has no notifications. So your service can be cutoff without warning, even when it's their fault for lack of adequate error detection systems. It would be fine if there was a support team to swiftly respond and resolve issues, but there isn't, so lack of infrastructure and lack of support is a double whammy.

Search and Recommendation for users, obviously. Improve product discovery, shorten time to checkout. (Typing more text here to it reach the character threshold.)

Su concepto de creación (La posibilidad de utilizar servidores más preparados para las consultas)

La gran cantidad de codigo que te "enchufan" (¡3 archivos JS!) + La falta de un formulario PROPIO + La falta de un shortcode para insertar dicho formulario PROPIO en donde uno quiera.

Por ahora ¡NINGUNO!

Very little. The platform does have a lot of functionalities but you need to be an expert to us and have a dev background or find an implementation partner

Been screwing around with trying to implement this for several months. Supposed to be a less complicated and non-developer friendly alternative to elastic search. It's far from it. Our search is now riddled with bugs and our collection pages have clusters of similar products on them with no rhyme or reason. Waste of time.

E-commerce search, similar product recommendations, collection pages and filters

Algolia search is easy to implement and manage provided that you don't try to do something complex and do not need to involve customer service. The search results, on a default setting, are very well presented and indexed efficiently without cumbersome setup time.

Inexistent customer support. I got a good amount of seemingly automated informative and follow-up emails on signup which should imply there is great care and interest in their customers. My experience however proved that, once I needed help and engaged the customer service, I got completely ignored. My reminders and requests for follow-up and feedback got ignored as well.

Algolia was the only search plugin I could easily integrate into Docusaurus with a good amount of features out of the box. The other solutions I have tried either didn't work or were more complex to maintain and setup, and time is scarce.

The API was fast, and the admin panel was easy to use.

Pricing is a factor of 10-20x more than Typesnese. Despite the much bigger price, customer service is essentially non-existent. When you have a problem with billing and you get cut off, you are entirely on your own. While the AI/Machine Learning element might seem interesting ours just ended up with a completely unintuitive search where you would type in something expecting a certain result but instead see prioritised, something that was completely irrelevant. The downfall of the AI system is they make it easy to integrate, and you think "great, I'll be leveraging AI", but the reality is a bad experience for your users.

Search

Nothing, it has been a horrendous experience and still continue to take money despite cancelling months ago and trying to contact them multiple times

Their customer service is non existent and have been continuing to take money for months and refuse to answer emails or action what's been requested.

Nothing

Search is good but supports super bad. Support cannot answer about their support code, which is showing in their docs.

Support replies are super bad. My two clients wasted time and money. The search was not live, and algolia charged.

The search is reasonable.