Algolia Reviews & Product Details

I like the speed of the response and the fact that it's easy to set up.

I'd like to have more edge case examples in the documentation.

Indexed searches are a very annoying task to manage by myself. Algoila solves this issue by giving a complete set of tools to create a very, very fast and user-friendly search engine for my web apps.

Algolia is helpful because they have a great documentation and a powerful suite of features.

Some of the more technical features are harder to use but I understand why, it's a complex product, but it's also the simplest and best that's out there.

Algolia is helping us solve the problem of search and discovery within our customers sites and in our dashboard applications.

Algolia docsearch is pretty quick to setup with docusaurus and dashboard is easy to read. You can also expose the API to force an indexation, which means you can integrate into the CI pipeline. Pretty neat.

The manual check for Docsearch is required for Open Source project. It would be great to have this automated and avoid to communicate by mails. We would also like to do the manual check before the project is exposed to the public.

The problem Algolia solves is the search engine and the indexation of the whole website, which can take a long time to setup if done manually. It also moves the responsability to Algolia to assure a good quality of service.

The flexibility, scalability, and ease of use are the biggest draws. Algolia's willingness and ability to partner with nonprofits through its Algolia for Open Source program is an amazing offer.

Admittedly, very, very little. The hardest thing so far has been integrating Algolia with our WordPress site, but the documentation is helpful and thorough in making it possible.

We have dozens of references to identical information (e.g. "Region __") and the flexible nature of Algolia's search abilities and the ability to target or limit search queries to certain sections of our site's data is incredibly helpful.

Algolia is a powerful tool and yet more and more easy to use. It gives you a fantastic sense of freedom. The new Instant search with hooks lets you design your search UX just the way you want.

There's nothing I really dislike. Algolia's dashboard design and graphical charter could be simplified and modernized.

Being able to set up a performant search solution in any react app.

Ease of use; incredible visual merchandising tools allow for a ton of flexibility; the speed and site performance is impeccable!

The pricing model is based on search traffic, so it's hard to give an off-the-cuff pricing estimate.

No-code daily operations for headless e-commerce.

Algolia is extremely easy to integrate and the search results are surfaced amazingly fast

lack of a "null" search capability, while I understand it, is sort of a bummer

We're trying to search through thousands of records with varying degrees of "completeness". Searches can be on any combination of the attributes of the records in the index. Algolia allows us to perform these sorts of searches and integrate them directly into our platform with very little lift.

It is very easy to Integration, and the APIs are FAST with good customization options.

A sandbox for work in a local/dev environment that would not affect the production usage quota would be great if available. Currently, all usages get added up in the same quota.

I am getting super fast search Results for an e-commerce site. The over developing time for implementing a search

Algolia is undoubtedly blazing fast and allows for fine-tuning and many customizations. Getting started is simple, and thanks to their well-written documentation, the learning curve is relatively shallow. We also appreciated their "Inside the Algolia Engine" engineering blog series, which helped me grasp some more information about how they can do what they do and why some limitations exist.

We have had an hard time working around the records length limitation. We do understand and share the opionion of Algolia engineers that indexing very long documents would worsen the relevance at search time. However, some use cases require them and we think users should be allowed - at their own risk and cost - to index long documents. For example, we found faceted search very limited when documents are splitted, and this prevented us from implementing few requirements.

We are implementing instant search on a newspaper-like service. Algolia helped us creating a great user experience, mainly thanks to its Vue components. Our most important requirements were typo tolerance and faceted search. Typo tolerance is excellent.

Documentation is great. Feature set is great. Instant search is a gift.

New features like recommendations could be explored better in the UI

Removing backend load. Having better customer experience.

The libraries and SDKs are awesome. It's wonderful to use. The free tier is generous. Documentation is terrific.

The indices are too tied to the organization, but it's easy to work around.

I used it for fast search for a open source documentation site.

I love how well it integrates with my store and line the results or gives back. It's exactly what I was looking for.

The only downside that I can think of is as my store scales up, I'd have to pay for usage, but the great thing is that I can start low and grow as the shop grows

I added a clean search function for my store that gives customers clear results back.

The documentation is easy to understand and concise, the new-ish pricing model is amazing, the learning curve is straightforward.

Not alot, do you go with one index or multiple? I spent awhile considering that, however your show good examples for both cases in the documentation.

By going static, its making searching my websites so much easier.

It is easy to implement complex search features, including faceting, performant autocompletion, and suggestions. The implementation is quickly done using their Instantsearch SDK. The best thing about this is that their Instantsearch SDK lets you easily override the whole Search UI to fit your brand and Components. In my past experiences, I also used Elasticsearch, which is a great Open Source Search Solution. Although ES is very flexible, achieving the same Search Experience as Algolia is a tough road with Elasticsearch, especially for optimizing the queries and the ES architecture. It is also heavier on the maintenance side. Algolia provides a straightforward experience and can even be easily configured by non-technical people (e.g. Synonyms configuration, ranking algorithm, etc.)

The pricing of Algolia can be a bit steep, especially if you want autocomplete or query suggestions as you type, as each "Search Query" counts towards your quota. For this reason, several clients of my company prefer to start with "Search on Enter" instead of "Search as you type" with Algolia.

Mainly using Algolia for Searching through normalized models such as web pages, recipes, user content, etc. Algolia is used on the Frontend for achieving a great Search Experience.

The simple access for its use, well documented and so easy

I do not have anything coming to mind, although probably the pricing model when you have big sets of data

The indexation of data on their string fields or part of these, it is incredibly efficient

the all in one platform for developing and testing especially supporting variant languages

search configuration limitations for free user

searching over Hebrew data base

Easy to use and really fast to implement.

Docsearch is a bit difficult to configure

Adding search to our documentation site. Allows us to have a search with minimal effort.

The search results are accurate and are fast. The analytics for what queries are not getting results and what documents get the most hits is nice.

The way that the system computes how many credits you are using is pretty confusing. Better clarity around how credits are counted would be nice.

We have extensive internal documentation but our employees have a hard time finding the doc they need. We have indexed all of our docs into Algolia and use that to power automation so employees can self-service support requests.

The dashboard is organised in a very ergonomique way wich allows even non technically-literate users to be able to easily their integration.

The more advanced api documentation can be a bit lacking at times

We use algolia for in a wide range of applications, from customer facing search bars to employee files and stock management.

The platform has multiple levels which can be incorporated from the most basic to advanced that don’t require you to decide upfront.

There should be more industry specific use cases ootb.

Driving end user personalization and results relevance.