Apache Lucene vs. IBM Watson Discovery

Apache Lucene offers great full-text search library that makes it easy to add search functionality to a website or other applications. Lucene is ideal if you want low-level access to the indexes and its APIs. For general purposes, Apache Solr, the web application built atop of Lucene can be used instead. Apache Solr comes with caching, HTTP/ JSON APIs and a simple web administration console.

Incentivized

Whether using it as a standalone search tool, integrating with other IBM Watson products, or using the API to integrate with proprietary or third-party systems and applications, Watson Discovery addresses these and many other scenarios where document search is required -- understand- if here documents can be pdf, doc, txt files, websites, among other formats --, don't confuse Watson Discovery with EDRMS (Electronic document and records management system) software, Discovery goes further, allowing text search to be done within a context using natural language (NLU) and returning not only the search term but also insights and related issues. File indexing works very well, and training Discovery so that documents and technical terms are learned a bit of work, but it can be reduced by using some of the learning models already trained and available for use.

Incentivized

• Fast indexing, with proper optimization I can index a Gig of data in 2 mins.
• Easy integration with web crawlers
• Quick and Accurate Results
• Flexible sorting option for results based on the search field and relevance

Incentivized

• Help us analyse and extract useful data points and insights.
• Powerful API which is both fast and accurate.
• Can analyse almost every type of file including word, pdf, excel, txt etc.
• No need to hire anyone or a freelancer to extract the data.

Incentivized

• We had difficulty porting the project to a cluster based environment on the cloud.
• For our particular use case of retrieving documents based on text pattern matching, the program worked efficiently however, we did not find many resources for image pattern recognition based on their metadata.

Incentivized

• 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.

Incentivized

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.

Incentivized

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.

Incentivized

The search and index performance of [Apache] Lucene is excellent and the quality of results is good, if not better. For implementing it with small scale applications it is a no brainer, Lucene is the best and most cost effective solution. Learning curve is not too steep either.

Incentivized

To be entirely honest, in my review, I have used Elasticsearch in the past, but not in a way similar to that I am using Discovery, and I cannot honestly say that I can compare the two because I used Elasticsearch in infrastructure management and monitoring setup while using the ELK stack (Elasticsearch - Logstash and Kibana).

Incentivized

• Very good at using minimal hardware sets saving money on hosting.
• Very good at housing multiple cores or instances.

Incentivized

• IBM Watson Discovery has had only positive impacts on our overall business objective of providing quality customer service and timely resolutions for our clients.
• The use of this integration has made life easier for our customer service team, who can now resolve cases for customers quicker and easier.
• Our company prides itself on the service and expertise we're able to provide for our customers and IBM Watson Discovery has only made that task easier for our employees to perform.

Incentivized