Algolia offers AI-powered solutions to improve online search and discovery experiences, with tools for business teams and APIs for developers that help to improve user engagement and conversions across websites, apps, and e-commerce platforms.
N/A
Coveo Qubit
Score 6.0 out of 10
Enterprise companies (1,001+ employees)
Qubit, now from Coveo (acquired October 2021) uses visitor history data to understand different user segments and serve personalized messages to segments using JavaScript. It is available as either a managed or self-service model. Data is collected using Qubit's own Universal Variable data model, or by integrating the user's existing model via our API. It combines quantitative data with qualitative visitor feedback to give Qubit users the ability to detect areas for optimization.
Using…
N/A
Pricing
Algolia
Coveo Qubit
Editions & Modules
Build
Free
Up to 10,000 search requests + 1 Million records
Grow Plus
Free to start, then pay-as-you-go
10,000 search requests/month and 100,000 records included; $1.75 per additional 1K search requests and $0.40 per additional 1K records
Grow
Free to start, then pay-as-you-go
10,000 search requests/month and 100,000 records included; $0.50 per additional 1K search requests and $0.40 per additional 1K records
Elevate
custom
per year
Elevate
Custom
Custom Custom search requests and records; volume-based discounts available
No answers on this topic
Offerings
Pricing Offerings
Algolia
Coveo Qubit
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
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 is a specialized tool with the largest customer base, the longest history, and the highest level of R&D investments. They provide exceptional assistance and services and are open to collaborating on feature improvement. The tool itself is very powerful, efficient, and …
Algolia gives way more control for a non-developer than AWS Elasticsearch Service. Previously we'd have to have our developers make adjustments to site search relevancy, typos, prioritizing certain attributes over others, etc. but now the marketing and website team can do that …
There are many open source search products available. Prior to Algolia, we used an in-house search system adopted from an open-source system. While this was nice in that we could modify it in any way we wanted, it also required dedicated engineering and setting up many …
Mostly for instant search capability, then because SFCC option can be easier to use, but front end capabilities where not nice at the time we implemented it. Elasticsearch is more similar with database and index management, but was more expensive at the time + Algolia cartridge …
Algolia easier to implement, whereas Amazon Cloudsearch is more technical to setup. Algolia is faster and has less latency than Amazon Cloudsearch, Algolia seemed to have more features than Amazon Cloudsearch
Offloading search logic to Algolia saved dev time and allowed our engineers to focus on higher-impact features instead of maintaining complex queries or custom search infra.
Before switching to Algolia, we were using SearchSpring. In our experience, the support was slow, the tech felt outdated, and things just didn’t work consistently. The widgets were clunky and limited, and overall it didn’t give us the flexibility or performance we needed. …
Algolia works out of the box, you don't need to setup a lot to see how it works for you. Its also pretty flexible and customizable if you need to. With elasticsearch you have to think about deployment strategies, where to host it, how to send data for it and build custom …
While we evaluated high-performance alternatives like Typesense, we ultimately selected Algolia for its superior "out-of-the-box" search intelligence and business-centric features. Typesense is an impressive, cost-effective engine—especially for developers comfortable with …
Even though CloudSearch is fully integrated into the AWS ecosystem, it is ideal for companies already using AWS services.. Algolia is much faster and focused on high-performance search experiences, with an easier-to-use API interface and better customization capabilities. …
We initially attempted an in-house search solution, which, though tailored to our preferences, demanded significant resources for upkeep. While our internally built search system allowed a deep understanding of rankings, Algolia emerged as a more efficient alternative. …
Algolia prioritizes simplicity and quick setup, excelling in user-friendly search experiences. Elasticsearch offers versatility and complexity, suitable for intricate scenarios, while Amazon CloudSearch provides essential features and seamless integration within the AWS …
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 …
There were few alternatives when we started by using Algolia and it was the better rated in terms of price & performance. Now there are more alternatives, but we keep algolia as is isolated from the rest of our stack so that we can have better performance & control.
Algolia has focused solely on site search for 10+ years, while Google has previously abandoned similar products. Algolia offers end-to-end AI processing, personalization, and automatic query categorization at scale. Deployment and usability is easier with Algolia compared to …
Algolia provides the best user experience, ease of integration and implementation, extremely high performance on large catalogs. The features offered are powerful and complete, with machine learning systems to improve result personalization. The service management can be done …
In my previous company one of the brands was using Optimizely, while the brand I was working for was using Qubit. Qubit proved to be so much more than a multi-variant platform. It was much easier to use - we didn't have to rely on the tech team to implement tests. This way we …
Key points that keep us close to Qubit are its knowledgeable resources, presentation and UI, ease of getting trained, ease of use, low time to market, analytics and reports.
We're using Qubit as a fully managed testing platform, and their account management and level of service we've received from any other contact (technical, support, sales etc) was above any of their competitors. Integration and on-boarding was well done and we feel confident …
Having previously used Maxymiser around 3 years ago, I found their setup to be geared more away from faster moving retail. While tests would be thoroughly researched and built to a high standard, the length of time to turn around a single test was too long. Qubit has allowed us …
As alternatives to Qubit, we considered: * Optimizely: more limited personalisation options, more expensive to be used across different sites. * Maxymiser: more expensive.
We've chosen Qubit because of the data driven approach, ease of use and the offered support. We like the ability to build some tests externally with the Qubit help.
At the time of taking the product, we found no comparable alternatives. Since then, the product has only grown from strength to strength, so it still does not have any comparable competitors that offer both the technical product and business knowledge that Qubit can. Google …
We previously used Monetate but that was before my time so it's tough to specifically compare. However, I think the fact that we're no longer with Monetate proves that Qubit has been a better partner overall.
Simple usability is a controlled group testing only. Qubit on the other hand allows you to run a test on a live site with traffic ranging from 5% to 95%
Qubit has a nicer UI than Google Tag Manager and offers the A/B testing that GTM doesn't - but for script management, there's not a lot to choose between them.
Qubit is probably the most powerful tool that we reviewed. The challenge is that with the power comes a large responsibility to make sure you are doing it right and not having issues. With digital tools, power and complexity seem to go together so you have to make sure that you …
I was not directly involved in the decision-making process but understand that overall functionality, data integration, and UX testing weighed against the cost of the solution were the deciding factors.
Qubit was the first CRO tool we have used, and have stuck with it, even though we've tested other platforms on our other websites. I think it's a testament to Qubit and their staff that they are still implemented on our largest website.
Primarily the strength of Qubit's data layer and therefore the ability to personalise and create seamless user journeys for our different customer segments.
The decision to use Qubit was made based on the capacity to run a 3 month test before committing for a longer term and down to a recommendation from a sister company.
We were not aware of some of the other offerings from Qubit so I think this is an area that could be improved upon. For us, Qubit is seen as an A/B testing tool more than anything else so I would say that the promotion of additional tools offered by Qubit is certainty something …
Our company decided to choose Qubit due to its perceived similarly to optimizely and promise infinite integrations through open tag. Sadly it didn't live up to its promise. The integrations were not integrations as most people would understand it. It was all very manual and you …
We opted for Qubit due to their personalisation features compared to the other market offering, as we felt their Visitor Cloud was a USP in the industry. The Visitor Cloud allows further personalisations, such as social proofs, to complement internal data we have gathered and …
We had several sales calls with Algolia to determine it was the right product for our client. Then when we entered into an agreement we had very detailed weekly onboarding sessions to teach us about the tool. The dashboard is very user friendly and there's so many different features. We're excited about the level of control we'll have with this tool compared to the default site search tools through a CMS like Drupal or Wordpress, or ElasticSearch via AWS. This is nice because we can see why a search is ranking a certain way right through the dashboard and will save us time from having to do trial and error to make the site search as relevant as possible. However, there are so many features that it can seem overwhelming to start at first. We are also one of the first clients using this in a non-ecommerce way so there were not as many uses cases we could reference. The tool is expensive but worth it so far.
Coveo Qubit is a very helpful platform mainly for organizations that need to provide a solid business model before carrying out any implementation or new functionality. In addition, it is a very good tool to generate changes and show different content to different types of clients, with their personalization and segmentation criteria.It is ideal for simultaneous testing and customization, only one of these activities individually is not recommended.
Algolia is brain-dead simple to set up. I've implemented search with Algolia in a dozen different ways now, and it never took me longer than a few minutes to get the functionality I want. With Algolia, the only challenge is designing your search UI -- if you don't want to use their baked in UI solutions.
Results come back incredibly fast. I'm not sure how Algolia does it, but every keystroke I make in a search field returns new results instantly. It's hard to believe that I'm searching large datasets on a remote server when it works so fast.
Very little customization is needed for 99% of use-cases. Algolia's out of the box setup works great, and it takes no prior knowledge to set up.
The testing platform itself is continually evolving. This means that we are always able to try new ideas as well as quickly and efficiently put others into practice.
The beta programme and the additional functionality products are both exciting to see as well as ensuring we can cherry pick the functionality we need. This means that we don't end up paying for functionality we don't need
Better integration of features (ex. synonyms feature is great but isn't respected by their re-ranking product)
Tooling to reduce spam search queries being triaged by system/logged to analytics panels
More automated summaries of analytics (ie. recommend synonyms to add, trends noticed in search volume in specific areas of site, easier ways to leverage API vs using website UI)
Some of the reporting within Qubit has been overly simplified in the past, a point they are continually addressing.
At times the syntax of experience (test) creation can be specific to Qubit and so there is a slight learning curve for developers.
Unless developers have much time to allocate to creating tests in Qubit, marketers may potentially find simple tests limited. I would recommend having someone in-house as we do.
After working 8 years and through 100+ implementations on international sites, Algolia beats the alternatives on several grounds. It offers a fair price that brings a ROI ; It has the financial backbones and the interest in investing in R&D more than any other competitors. It is a true specialized and not an add-on, and thus benefits from a very strong engineering and innovative approach. The tool is very reliable and fast
Qubit helps out immensely and lays out in plain English the profitability of each of our A-B tests. Say Qubit has provided us overall with a 5% profit increase this year (that is a completely arbitrary figure for illustration only), then if we didn't renew it could be seen as us taking a 5% loss as Qubit wouldn't be there. The results of our tests are showing no slowing down and as Qubit and Toast grow to understand each other better we can only see our performance getting better as the years go on.
Algolia is very intuitive to use, especially the Merchandising Studio. The application provides a virtually seamless view of how product will appear on the frontend and making adjustments is fluid and reflects immediately online. Some slow-down occurs when you have a lot of rules enabled or are pinning / boosting a lot of product. But overall it functions very solidly.
Overall navigation on Qubit is very user friendly and requires a minimal training to be up and running. Be it reviewing existing experiences or setting up new experiences, the process is pretty simple for business user. Add some basic development skills to your kitty, you can do magic with Qubit and make your website do wonders!
I would say that the Qubit account managers are always available for any request. We have a lot of different promotions that could always do with last minute optimizing or changes and Qubit can be relied on to get this changes up and running in an impressive amount of time, so that we don't need to patch live or wait for the next IT sprint. Invaluable to our business.
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.
Technology is good for A/B testing and personalisation - allowing any team with a dedicated developer to create test relatively easily and to report/analyse them in a fair amount of details. Some advanced features, especially on the set up of test cells, are dearly missing. Unfortunately, new features are often not free of bugs... Also, support is sub-par, which means new features are realised without proper documentation, example or training (but of our Qubit counterparts and internally).
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
Qubit are supportive and flexible in providing support. They are happy working out of usual hours, even on weekends and if I have any doubts about the set up of an experience they’re quick to respond and willing to check my work. On particularly big revenue days they monitor our account and they’re quick to identify and problem solve any issues.
The training was great, but would be great to have a script or PDF with some explanations of the qubit JS layer. Without the script you can just try to learn on your own, so the training is not as powerfull as it could be. On the other hand - would be great to have training related to reading statistics or personalisation.
Implementation couldn't be easier. All we needed to do was insert the tag. (easy) and set up the data layer. (dev required) This was pretty smooth in comparison to some of the other tools we use on our site, and was done in less than a day. Note : Data needs to be collected for a set period of time before you can accurately rely on the data that you are receiving. This is normal though with everyone else that we have used
Algolia is a specialized tool with the largest customer base, the longest history, and the highest level of R&D investments. They provide exceptional assistance and services and are open to collaborating on feature improvement. The tool itself is very powerful, efficient, and reliable. More technical and less pretty than most of its competitors who are trying to make the UI friendly, but with far more features and a continuous improvement with the latest technologies.
We're using Qubit as a fully managed testing platform, and their account management and level of service we've received from any other contact (technical, support, sales etc) was above any of their competitors. Integration and on-boarding was well done and we feel confident that the campaigns are developed and tested thoroughly.
Algolia has been a consistent product that works flawless with very few errors or downtime. With the plan options it’s very easy for us to scale especially with this usage pricing. We have 100% gotten our ROI on this product.
Our requirements change throughout the year like most E Commerce retailers. At Christmas and Peak we're dealing with around ten times the usual traffic on the site. Qubit had no problems with this at all, tests continued to fire, and stats were still reported accurately. I don't think that it is the most server intensive .js anyway, but we have seen no issues at all.