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.
$0
per month 10k search requests + 100k records
IBM Watson Discovery
Score 9.1 out of 10
N/A
IBM offers Watson Discovery, a natural language processing (NLP) application with options to measure sentiment, detect entities, semantic roles, and other concepts.
N/A
Laserfiche
Score 8.9 out of 10
N/A
Laserfiche has two main editions: Rio and Avante: Laserfiche Rio is designed to meet the needs of large organizations that have more than 100 users. It combines content management functionality with business process management (BPM), security and auditing, unlimited servers and a thin-client interface. Add-ons include records management functionality, public Web portals and production-level document capture and processing.
Laserfiche Avante is an ECM suite for small to medium organizations with…
$540
per year per user
Pricing
Algolia
IBM Watson Discovery
Laserfiche
Editions & Modules
Build
Free
per month Up to 10,000 search requests + 1 Million records
Grow Plus
Free / Pay as you go
per month 10K searches/month & 100K records included; $1.75 per extra 1K searches, $0.40 per extra 1K records
Grow
Free / Pay as you go
per month 10K search requests & 100K records included; $0.50 per extra 1K searches, $0.40 per extra 1K records
Elevate
custom
per year
Elevate
Custom
per year Custom search requests and records — volume-based discounts available
No answers on this topic
Starter
$540
per year per user
Starter
$600
per year per user
Professional
$710
per year per user (starts at 10 users)
Professional
$830
per year per user (starting at 5 users)
Business
$830
per year per user (starts at 25 users)
Business
$950
per year per user (starting at 25 users)
Enterprise
Custom
Offerings
Pricing Offerings
Algolia
IBM Watson Discovery
Laserfiche
Free Trial
Yes
Yes
Yes
Free/Freemium Version
Yes
No
No
Premium Consulting/Integration Services
Yes
Yes
No
Entry-level Setup Fee
Optional
No setup fee
No setup fee
Additional Details
Pay as you go, scale instantly, or upgrade anytime for advanced features and capabilities.
Algolia is both well-suited to replace Shopify's out-of-the-box search and to very large sites with millions of products in their catalog. Algolia provides a specialized solution that benefits from very large R&D budgets and ongoing investment. Algolia offers a more retail- and open-design solution than competitors such as Amazon or Google search, which offer fewer options and fewer features.
Overall, IBM Watson Discovery is an amazing technology that we use with our clients to address various business problems, but the biggest challenge has always been about ingesting, analyzing, enriching, and searching huge collections of documents and allowing our end users and SMEs to be able to search for what they need to reduce the time and efforts spent daily on a manual search through various collections of documents. We have successfully managed to reduce manual work by over 80%, and now our SMEs are being used for the skills they have to gather insights rather than do manual work.
Laserfiche is well suited to the submission of simple routine reports to create a record repository. We use it for routine transport reports, audit reports, and anonymous citizen complaints. It creates a simple chronological record of routine events that can be reviewed and easily stored and recalled. Because the reports are in PDF format, it is not well suited to anything that needs to be imported into a common database or amended after submission.
Users get instant feedback as they type, even with complex filters like brand, model, price range, and financing eligibility. This speed significantly improves engagement and reduces bounce.
A user searching for “Camry 2020” or even “Camary 20” still sees relevant Toyota Camry listings from 2020. This reduces friction, especially on mobile where spelling errors are common.
Algolia handles multi-faceted filters efficiently. For example, a user can filter by location, transmission type, color, or inspection status without any lag.
We fine-tune the ranking of search results based on what matters to our business—like prioritizing cars with higher margins or better availability in key cities.
We can experiment with different ranking formulas or UI variations to improve KPIs like lead conversion or time-to-first-interaction.
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)
I believe AI should be more flexible about providing data. However, it's understandable that you need to provide the details you need in a more specific and detailed way.
The interface could use more tweaking. Being new to the program, it was kind of hard to navigate.
Luckily, there was a customized feature of the dashboard that I could set up, and having something that you know where you are placed always feels familiar and comfortable.
While Laserfiche has some powerful development tools, it is difficult to manage configurations while promoting code across environments. For example, SQL connections and other environment specific resources have to be manually configured in each environment.
Laserfiche forms are a newer addition to the product family and could use some product maturity. While easy to use for simple forms, once your forms become more complex, you need to accomplish tasks by heavy JavaScript coding.
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.
We plan on renewing Laserfiche for the coming year but also have been considering a scanning and document management solution that can be purchased from our new accounting system company, we are implementing the accounting system this year. It will be a couple years before we make a decision to stay with Laserfiche or change.
Personally I find the Algolia integration not very complicated and the service super reactive. In terms of configuration, it's quite complete, at the end what matters is what we are able to index on Algolia. With rich data, the tool is amazing and a lot of things are possible.
IBM Watson Discovery has the best user capabilities and easily transform business decision-making portfolio. The automation system saves time used in data analysis as opposed to manual research that consumes a lot of time. The visualization across the dashboard enables my team to interpret complex data and use it to make reliable marketing decisions.
It has an intuitive design that feels very natural to any user that has ever used Outlook or Windows Explorer. There are multiple ways to perform every action in order to help users with various software experiences find the shortcuts and actions they seek quickly and effectively.
I am very satisfied with Laserfiche. I have found that certain larger jobs may are slow. This may also be related to our infrastructure environment. We have been able to tune Laserfiche to increase performance on larger jobs.
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.
Performance, of course, is largely dependent on the underlying environment. Laserfiche does its part with multi-threading, taking advantage of multi-core servers on scanning, workflows, and bots. A SQL-Server back-end is suitable for small to medium-sized company, but may not scale to large, where Oracle would be the better choice. Workflows can be poorly written and perform recursive work slowing down the system. It's better to run batch type workflows at night when possible.
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
Similar to all IBM Watson and Salesforce product solutions, the overall support would be a 10/10. Their provided FAQ's help with frequently experienced issues and if still unable to figure something out, their customer service representatives are always super responsive. With instant chat functions available, it is easy to ask a quick question rather than sitting on hold.
I have never had to wait for help from Laserfiche. If I cannot find the answer online, I can easily send an email to a customer support representative. I have always been helped the same day and my questions have always been resolved. The Empower conference is always a great learning opportunity and the online resources and webinars are top-notch.
Easily accessible 24/7 so am able to complete courseware whenever time allows: Commute to work; waiting for friends or family; at night while relaxing [with a delicious glass of wine!]; whenever and wherever time and circumstances permit. Courseware is well written and presented in an easy to follow and understand format.
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 themselves in the Algolia dashboard
Discovery differs from its competitors due to the better ease of implementation and the high level of natural language recognition, it is equal in integration resources such as API and workflow or process pipeline, but it loses in the price for a high volume of documents and/or research. If you own or plan to use other services from the IBM Watson family, there is no doubt that Watson discovery is your best option. Another important point is if you plan to use a cloud or on-premise service (local server or private cloud).
The core infrastructure of Laserfiche, and the end user experience, is vastly superior. OnBase has a TERRIBLE UI and administration console by comparison. The core architecture of OnBase is also more scattered, while all Laserfiche processes go through a single service. Overall, the Laserfiche product is easier and more intuitive to install, maintain, and use.
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.
Laserfiche has increased the efficiency of our sales reps by giving making all of the historical sales deal information very simple and fast to retrieve.
Laserfiche has increased our efficiency with our AP department and gave department heads the ability to approve invoices where ever they are.
I would say the biggest ROI came with the transparency of the order process for new deals. Before there would be numerous phone calls made daily to find out where an order was within the process, and now you can simply look at all deals at any time.
