Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your....
At oobe, intelligent search and content analytics is not just about helping people find things, it is about helping organisations unlock the full potential of their unstructured data – text, images, voice, and video. We combine machine learning and natural language processing with search and analytics to transform the way people work.
Lucidworks Fusion is a platform for intelligent search and analytics. It is built with Apache Solr — an open source search engine that sits on an Apache Spark framework. This combination provides customers with instant, scalable and reliable processing for customised search and analytics. This software-based search solution is popular and powerful and delivers a superior enterprise and customer experience.
New challenges need agile solutions. Microsoft Azure provides you with the right set of tools that can give you an unfair competitive advantage and help push the boundaries of innovation. Whether on-premises or in the cloud, Azure has 200+ products and services you can rely on to build, manage, and deploy your ideas so your business can thrive.
Over the course of many years, and experience gleaned from many and varied search and analytics engagements, we understand the strengths of our commercial partners as well as open source search platforms. We also understand the gaps. To address these issues, we have developed a collection of search engine-independent technology assets to fill in the gaps in clients' search and big data analytics projects. By eliminating the need to reinvent the wheel for some repeatable use cases, like enterprise search, these assets can accelerate project timelines and increase speed-to-value.
Create an end-to-end analytics and search system in days, not weeks, and bring immediate business value. Deploy enterprise-scale, intelligent search and content analytics solutions in the cloud or on-premises. Fill in the gaps in open source and commercial search engine platforms using search engine independent, complementary technology assets
Our technology assets work with a range of search engines, including Azure Search, Solr, Elasticsearch, and others. Each component can be deployed individually or together to complement and optimise your organisation's search architecture.
- Empathyc content processing. A content processing engine designed specifically for the enrichment of unstructured / semi-structured data.
- Content connectors. Search engine independent connectors with built-in early-binding security and metadata capture capabilities.
- Search application UI. An end-user search interface with full source code and can be customised for specific requirements.
- Staging repository. Our staging repository allows for more efficient content reprocessing without having to reach back to the source for every iteration.