Overview

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Algolia is a world leading true end-to-end native AI-First Search and Discovery Platform with an API foundation. Historical data and real-time events are processed as crucial signals to power the AI algorithms that learn automatically and continuously to create the most engaging end-user experience.
Algolia's API can handle any query containing specific keywords or using free-form natural language to understand the true intent and return the most relevant and accurate response. This results in improved click and conversion rates, more time spent on site, reduced search abandonment rate, and less time spent in customer support. Additionally, there is no longer the need for extensive language rules set up, money wasted in chasing expensive AI skills, or opportunities lost to promote and sell the entire product and content catalog.
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*Pricing listed is for US and EMEA only. Published pricing illustrates the equivalent of monthly search charges when purchased as part of a 1-year agreement.
For custom pricing, private offers, &/or custom EULA please email: marketplacehelp@algolia.com .
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ALGOLIA OFFERING(s) GROW | The Algolia Grow plan is intended for projects in production, and data which is being used by end users. Within Algolia Grow, you'll have access to Algolia's core Search & Discovery features to release a best-in-class experience, with room to grow.
PREMIUM | Premium includes AI features, expanded global hosting options, Merchandising Studio and access to professional services and add-ons. With the Merchandising Studio, business users can quickly create and modify merchandising strategies, apply running one-off updates, and let AI do some heavy lifting by enabling our powerful Dynamic Re-Ranking functionality -- all in real-time from a user-friendly, centralized environment. Contact our team to learn more about which plan is right for you.
ELEVATE | Elevate includes Algolia NeuralSearch. It's the only search engine in the world that processes both vector and keyword results in parallel and at scale in a single API using the same index. AI-powered search combined with keywords means eliminating no-result pages and getting even more relevant results from across your catalog. Better results drive higher click-throughs and conversions, while reclaiming time otherwise wasted in setting up language rules, synonyms, or esoteric ontologies. Reach out to us to learn more and discuss custom pricing options.
Highlights
- Algolia has been recognized as a Leader in the 2024 Gartner Magic Quadrant for Search and Product Discovery. Algolias AI Search was positioned furthest on the Completeness of Vision axis and Ability to Execute. https://www.algolia.com/lp/gartner-mq-2024/
- Try Algolia 90-day Premium Free Trial on AWS Marketplace.
- Customer Stories https://resources.algolia.com/customer-stories
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Free trial
Dimension | Description | Cost/12 months |
|---|---|---|
Premium | Starting Price. AI features, Merchandising Studio, pro services/add-on options. | $10,000.00 |
Elevate | Starting Price. NeuralSearch with vector & keyword results sharing a single index/ API | $50,000.00 |
The following dimensions are not included in the contract terms, which will be charged based on your usage.
Dimension | Description | Cost/unit |
|---|---|---|
addunit_premium | Additional Units Premium | $1.50 |
Additional_Units_Elevate | Additional Units Elevate: priced on search requests. | $1.95 |
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Algolia Partner Support | marketplacehelp@algolia.com |
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Customer reviews
Powerful, Fast Enterprise Search—But Complex and Support Could Improve
Very accurate and fast result - highly performant
Documentation is good but disappointing lack of customer and technical support unless expensive support packages are taken
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Powerful Insights Backed by Fast, Helpful Support
Real-time search has improved device monitoring and now needs better relevance tuning and cost clarity
What is our primary use case?
I used Algolia in a project where we built a real-time monitoring dashboard for IoT devices using React for the front end, FastAPI for the back end, and MQTT for handling data streams. Everything was in live mode, and we used web sockets in the FastAPI. We used Algolia to index device data and enable fast search and filtering of devices, logs, and events. These IoT devices were generating a large amount of data, reaching 10,000 data points in a second, so we needed a search device with indexing. This allowed users to quickly find specific device data and data points in real time without querying the back end directly for their requests.
What is most valuable?
Algolia provides extremely fast search performance, which is particularly useful for projects with big data and many data points. In my use case with IoT devices, I really needed fast search for specific data points. One of the best features is easy API integration. It was not difficult to integrate our back-end API to the search engine, which allowed us to implement real-time search functionality with minimal effort.
The positive impact of Algolia on my organization was significant because it helped us reduce the back-end load. When you have a large amount of data, it is very difficult to maintain, especially when customers need to search in real time. It saved the search performance significantly. Also, it helped save development time by avoiding the need to build a custom search system, which improved the user experience.
What needs improvement?
One area for Algolia's improvement is the relevance of tuning and configuration because it can take some time to properly configure ranking and filtering for a specific use case. If you are new to this or do not have experience with the tuning and configuration of the search, that can take some time to adapt and use this search engine.
To make it better, I would appreciate improvement in the relevance of tuning and configuration, as it takes time to properly configure ranking and filtering. I can also say that transparency for scaling usage and cost transparency for when you are scaling would be beneficial.
For how long have I used the solution?
I have used Algolia in my project a few months ago.
What do I think about the stability of the solution?
Algolia is very stable. Search queries are consistently fast and reliable, even with real-time data updates.
What do I think about the scalability of the solution?
Algolia scales very well. As the amount of indexed data grows, it continues to provide fast search performance without noticeable delays.
How are customer service and support?
Customer support is good, but most of the time, documentation and guides were sufficient for implementation.
Which solution did I use previously and why did I switch?
Previously, we relied on back-end database queries for search. We switched to Algolia to improve the performance and provide a better real-time search experience.
How was the initial setup?
The API integration with Algolia was straightforward. It was not difficult, and we did not spend a lot of time figuring out how to do it.
What was our ROI?
The return on investment was positive because it decreased the development time. We did not need to create our search engine, and we avoided hiring more back-end developers since we could use this ready, specific solution. I believe we saved development time and did not hire additional back-end developers, so we potentially saved around 700-800 euros.
What's my experience with pricing, setup cost, and licensing?
I found the pricing reasonable, especially at the smaller scales, but of course, it can increase as usage and the data volume grow.
Which other solutions did I evaluate?
We considered implementing search directly in the database but chose Algolia for better performance and scalability.
What other advice do I have?
Algolia is a great solution for fast search, but it is important to plan the indexing strategy and manage usage to control costs. I would rate this review at a seven out of ten.