Algolia Reviews: 4.6/5 — Highly Rated

The speed at which search results are returned.

It can get expensive if you have a large number of records, regardless of the search volume.

Our primary goal was enabling a search experience where the customer could search for products using natural language queries and one that could handle typos. Algolia allowed us to implement this without having to hire out for that expertise.

Very easy to implement. Created a search index for my Firestore database to introduce search in my Flutter app and had no problems whatsoever. Implementation (creation of the index, database export, database synchronisation and client implementation) took me less than half a day and it allowed me to introduce search with fast results in my product catalog.

Nothing at all. The solution Algolia provides was the complete package in my use case.

I was using a Firestore database for a product catalog and wanted to allow my users to search for products.

I worked on an iOS project with Algolia. It fetches the results super fast. Query settings are a bit tricky but once you figure out, it's super useful and customizable.

The way to set up differs version to version, so it sometimes unknowingly breaks if you blindly update.

Quickly search the DB with relatively straight settings. Refreshing as you type kind of thing is neat.

The documentation made my business rapidly build out functionality

the Support if you weren’t on a paid plan wasn’t super helpful.

Full text search (Firebase doesn’t support this - Algolia solution worked wonders)

How easy it is to setup a project and customize it to match the needs of the app

It may be a bit pricy for personal applications

Autocompletion feature is one of the main problems that Algolia solves.

The easy of integration and the speed of getting the responses. The documentation is also great. I have added a search feature to my personal blog, which is based on Jekyll. There is a Jekyll package that does all the heavy lifting, and for the parts to customize there is plenty of documentation. From the creation of the account to be up and running it took me less than one hour.

Nothing in particular. Everything was smooth and clean. I can't really say that there are downsides.

I wanted to add a search feature to my personal blog. I managed to do that in less than one hour, including the time necessary to create the account. One of the best parts of the Jekyll SDK I have used is that it automatically indexes all the posts in the blog, so I don't have to add anything. It integrated wonderfully with github, so it was really zero effort (and zero cost!) to have it up and running.

It's the easiest way to add search functionalities to your software, without having to worry about managing Solr or ES clusters. Their API is really well documented and easy to use. Pricing model is also easy and you should not have problems calculating how much you will end up paying. Other advantage is the low and consistent latency to all end users, with servers on every major continent, no user will have a bad experience.

It can be a lot more expensive than self managing a elastic search or other search software cluster by yourself.

We use it for searching pages on a blog, the main benefit is, as I mentioned, the ease of using the API, without having to worry about anything else. We also save a lot of time by not having to manage anything related to search.

We were comparing Search options for both our new website and our web based application focused on the families we serve. We explored options such as Elastic which provided a robust suite of tools. However, in the end we decided on Algolia for its hosted search, ease of implementation, and UX. It allows us to focus on our data and not have to worry about maintaining the Search experience.

Thus far in our implementation, we haven't had any complaints! Algolia provides with pretty much everything we need. It's almost like Stripe for Search!

We've been able to minimize the amount of time integrating this critical function of our web assets. We're able to focus on our data rather than maintaining the Search engine.

It was very quick and easy to install Algolia, and now our end users can quickly search our documentation to find the answers they seek. Praise has been expressions like "Algolia is incredible!", so we're very happy.

Unfortunately the open-source account doesn't always link things up correctly in Algolia's dashboard, which makes it slightly difficult to research specifics. I wish we could purge data before our official release date.

We added search to end-user documentation.

It makes up for Firebases' deficiencies!

Probably scaling up can be costly, but to start and prototype is great and easy

I was solving the search of Google maps businesses, taking into account the user location as well (to find closer shops)

I like how easy it was to integrate into our companies documentation site. Also being able to see the most searched works and which search results don't land any results is very helpful for updating our documentation site in the future.

It did take longer than expected to receive the API key, but when we finally did, we were really happy.

None, everything is running great so far.

The speed at which a search operation executes, along with all the linked aspects that broadens the concept of universal unified search in order to provide great User Experience! The product's landing page is one of the best I have seen to date since it clearly explains the search powers when clicked on the search bar on the homepage to get on the demo search portal in order to get hands-on experience with it. Simply put, Algolia is one of the best search experience providers that totally builds on and aims to provides one of the best user experiences out there when it come to search platforms/ tools or APIs.

I guess they should also have a WordPress plugin since WP is one of the most widely used CMS platforms. Adding a plugin to Wordpress library will help Algolia and most global users to expand the search experience using Algolia for any one's platform/ website or their product. Also, the product should provide an in-built search bar generator tool that can then be embedded on to any website at any section of the page which will be very helpful for non-coder or new users who aren't very friendly with the development environment. WYSIWYG editor or search bar generator and styling tool can help a lot in integrating to small scale static websites.

Personalized search experiences that converts, and provides unique experiences to drive engagement.

Easy to use API, with Algolia we are able to delegate all our resources to be indexed, which makes the performance of our application faster. This not only provides for developer experience but also the overall user experience of our end users.

Well, till now I am yet to run into something I don't enjoy with the Algolia API. The basic/free trial limits could be extended though.

We're building a fashion marketplace for emerging brands in Ghana, We were looking for a scalable and easy to use solution to provide a much more robust search for better user experience. Algolia checks all our boxes by providing an API very friendly for our engineers and also the performance of our product.

We are using algolia for our internal pilot admin. It allows us to search quickly between clients and partners and make effective actions thanks to the search algolia is powering.

The fact that Algolia doesn't support old frameworks, like angularJS, the one we are using. We still have legacy javascript available, but still, it's not the same :)

We've solved our filtering problems on our clients and partners. It was somehow slow when we developed it in-house, but using Algolia, it made our life easier.

The API to index data and the granularity on which we can allow users to search on.

Most of our clients want infinite scroll plus GeoSearch (click here for an example). The issue we have is that the map will render the result set differently depending on the position of the infinite scroll, ultimately not showing all the results available. For example: If I search and get 100 results and the hits per page is set to 50, the user will see the first 50 results on the map. Once the scroll position has loaded results 51-100, the map will only show results 51-100 and not show results 1-50. This confuses users. Some users find it confusing when the filtered item automatically goes to the top of the list when it is refined/filtered.

We solve complex search requirements for the complex commercial real estate industry. Users find the right properties using detailed search requirements.

Algolia search is awesome. We use this on our customer support website and its awesome. It helped our customers in numerous ways. The search is very powerful and quick.

I don't think there is any improvement we need in algolia search.

We are solving our customer support issues with the help of algolia

I like the speed of algolia search the most

it's a little bit expensive. Re-indexing the records is also an expensive operation.

I had issue with the search functionality at my website. Algolia is keeping good care of my website's search. Benefit of using algolia is that the users on my website can enjoy the fast search.

The simplicity of the service means you can basically throw any data at it and it'll handle everything for you.

I feel it gets expensive quite quickly (especially for smaller startups on a tight budget), but other than that the service is great

We needed a reliable and accurate search solution but none of us have experience building search platforms. algolia was an easy drop-in solution

The search is so fast and is able to return results as you type. The experience that I can create with Algolia is leagues above other search providers and super easy to implement.

The pricing structure is a bit confusing at first. When you ask for help it puts you into one of their sales funnels

It's allowed us to greatly improve our blog search functionality and performance. We can now also send URLs which preload the filters we've selected. This is great for our marketing team!

With Algolia, I could build an optimized search engine to look for real estates with many filters involved.

The learning curve is steep... it was difficult to learn the internals of InstantSearch

We provide an Algolia search engine to our clients, so they can look for the best home for them

Product perfectly designed and awesome support team - very reactive and so efficient.

Product is still quite technical to implement, but is very well made.

I wanted a search engine for the documentation of my open source software. I was perfect to manage search on different version of the documentation.

Algolia gives me a far better search product than one I could engineer myself, and I had it up and running in a day.

The terminology they use in the dashboard can be confusing at first. Luckily, I spend very little time in the dashboard, so it isn't a major issue.

We use Algolia for product and user searches on our app and website, as well as for several internal tools. It's great for pretty much any search use-case that I've encountered so far.

Great documentation, great explanation of the technology they developed and how it works. Really nice explanation of how they approach high availability

Very little downsides. Some implementations can become costly, but this one was not. We really appreciate the development time that went into the Shopify app. Most people just make an app in the Shopify store and leave it, aloglia actually put considerable time into the app and has done a really nice job of improving the app over time.

We are solving for e-commerce search. Our existing solution had many reliability problems. Greater reliability is the biggest upside.

Incredibly fast search; fantastic developer support and documentation; some really great out of the box options as well

Non tech users may have trouble customizing themselves without dev help beyond basic settings if they use a plug and play app (of which there are many for Algolia -- they work great and are well documented, but someone wanting to do a lot of customizations themselves without technical know how may require a developer).

We have universal search experiences for our clients that pull in from multiple platforms like Zendesk, Shopify, WordPress, and more and work on both web and native mobile apps. Algolia delivers results insanely fast and makes developing all of these elements out easy and reliable.

It's hosted, flexible, and scales very well. It's what ElasticSearch should have been. You can throw pretty much whatever data you'd want to at it, and figure out the indexing later. Facets make searching very slick, and the fact that it's hosted means I simply don't need to worry about Indexing. Anyone who doesn't use Algolia is just living in the past.

It can get expensive, but still not as expensive as running OS software on AWS. The only *feature* issues we've had is that it doesn't let you perform cross-index searches. In our specific use-case, we have to duplicate data into multiple indexes because we want customer-specific data (restricted to specific customers of ours) along with our specified data in the same search. It also requires a separate index for each sort order. That means no ad-hoc sorting (you can't specify to return results in a specific order at search time).

I've used this now for 3 separate production projects across 2 completely different companies. It gives us blazingly fast search and faceting across millions of records. We use this to generate statistics, as well as provide our customers with results based on their specific searches. We have an entire CRM platform build on top of Algolia.

Search results are incredibly fast. Setup was fairly straight forward and didn't take very long. The re-indexing speed is also very good. Pricing is fair, overall its a pretty damn impressive service and I'm looking forward to implementing it on other projects in the future.

As with anything new there's terminology which can be a little bit confusing at first. The documentation took a few reads until the information and processes stuck with me. Other than that there's nothing to complain about.

Fast e-commerce product search with rich data results.

Performance! It's where Algolia shines, they can deliver p99 < 10ms response times, the search experience feels instant, making a huge difference for our customers. They have many available SDKs for all sorts of clients which makes it very easy to integrate with web and mobile apps. Another great feature is the geo-replication where you can deploy your data to more datacenters and make the search faster all over the world, be aware that this cost extra though.

Pricing. For an early stage and growing startup it can be challenging to pay their price. We have to constantly purge old records and optimize our systems to decrease the number of operations which causes some extra development overhead for us.

We're using Algolia to power all of our search: from sports events calendar to digital asset management. With Algolia our customers can have a centralized view of their assets and it becomes searchable instantly, streamlining their content distribution.

- The way you can easily setup Algolia, populate an index and start doing mockups with instantsearch. - A lot of SDKs allow choosing the approach that better suits your use case. - Not needing to spend a lot of time and money in infrastructure or software architecture.

- Analytics are a tricky thing to do and don't work right out of the box. - Developer documentation isn't 100% complete and synced across sources so some things have to be inferred.

We needed a quick and easy way to launch a search feature for our customers and brokers, since using Algolia we have been able to iterate in the feature with reduced development time and able to change it easily.

Algolia is easy to set up and customize for your individual needs.

I was a little disappointed that they are no longer supporting the Jekyll plugin.

I was able to build a search that displays results from our marketing site, blog, and documentation site.

Is very easy compared with competitors, and the library support for JS

Documentation is better now but it could be better

We have many autocompletes inputs and Algolia helps us with that. I don't have to worry about search anymore