Algolia in San Francisco, California offers enterprise search as a service.
$0
per month 10,000 search requests + 1 Million records
Elastic Enterprise Search
Score 7.0 out of 10
N/A
Elastic Enterprise Search Swiftype is a platform with modules for Site Search, App Search and Workplace Search, that boasts powering search for thousands of enterprises and websites. The services were developed by Swiftype and acquired by Elastic in late 2017. Powered by Elasticsearch, the vendor states Elastic Enterprise Search is fast, with proven, optimized relevance models designed for real-life, natural search.
$79
per month
Pricing
Algolia
Elastic Enterprise Search
Editions & Modules
Build
$0
per month Up to 10,000 search requests + 1 Million records
Grow
$0.50
per month per 1,000 search requests
Algolia Recommend
$0.60
per month per 1,000 Recommend requests
Premium
Custom
per month Customized pricing
Standard
$79
per month
Pro
$199
per month
Premium
Custom
Offerings
Pricing Offerings
Algolia
Elastic Enterprise Search
Free Trial
No
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Pay as you go, scale instantly, or upgrade anytime for advanced features and capabilities.
Algolia at first seemed and proved to be the fastest compared to the other search engines. It is very easy to implement. Also, it had a 24x7 support which proved to be very useful. It is also useful for all types of clients weather it be organizations or individuals. It can …
We selected Algolia because it was ridiculously fast and we liked the direction the company was going. We also did not want to deal with a self hosted solution like Solr.
We selected Swiftype compared to Google as it is very well designed and has a great layout. The technical support helps anytime we need them. They also provide great support. The analytics provided are also great and provide excellent features. It is easy to use and configure. …
Algolia offers a wide range of capabilities that can benefit any business by addressing their specific requirements. Integrating with this platform is seamless, and their extensive knowledgebase and training resources are highly valuable for both developers and UI users. We have already witnessed the advantages of this product and are eagerly anticipating future enhancements as we continue to expand our platform, with Algolia as our primary tool for enhancing our search experience.
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.
Recent pricing model changes made Algolia considerably more expensive. I understand that companies change their models all the time, but my plan almost doubled in price overnight. They let me keep my legacy plan for as long as I wanted, but I had already outgrown it, so a small increase in demand caused big price spikes. It's still cheap for what it is though.
The documentation is generally good, but sometimes hard to navigate. I was trying to find examples of how to combine geo-queries with normal ones, and I couldn't find an example, but it wasn't actually hard to figure out.
Some of the advanced features can be hard to understand at first. This isn't really a con, as it just means Algolia is loaded with features, but I was a bit overwhelmed the first time I tried to customize an index.
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.
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.
Algolia has a good interface and they have done some improvements. However, some non technical users have a challenging time in the use for the first days of learning. But once the main aspects are learned is a straight forward operation
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
While AWS's offering is a typically cheaper solution, it requires a lot of work to gain any of the core features of Algolia. The cost of dev time and long-term maintenance would be more than the costs incurred with Algolia, which is why it made the most sense financially. On the engineering side, we could give our stakeholders access to Algolia to adjust the indices themselves, which would allow us to focus on other work.
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.
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
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.
