Take advantage of the most popular, fastest-growing open source search technology to deliver powerful search applications through SharePoint portals
Multiply the Value of Elasticsearch
With BA Insight’s Elasticsearch support for SharePoint 2013, Elastic can be used with out-of-the-box SharePoint portals without reliance on custom software development. And, the BA Insight Software Portfolio provides a comprehensive set of capabilities:
- Applications – Smart Previews, Visual Refiners, User-Generated InfoSites, Matter Comparison, Expertise Locator, and Smart Analytics help users find relevant information faster for improved productivity.
- Classification – Auto-tagging, metadata generation, and text analytics to increase findability.
- Connectivity – Secure connectors and federation to a wide variety of content systems, enabling unified views of all knowledge assets.
The Right Tool for the Right Job
SharePoint search out of the box does not do everything desired. BA Insight integration with SharePoint adds Elasticsearch capabilities to provide the following benefits:
- No customizations needed
- Results from SharePoint search and Elasticsearch combined into a single result set and surfaced in corporate portals
- Enhanced search capabilities by taking advantage of the open source nature of Elasticsearch
- Flexibility to use the search engine within SharePoint, Elasticsearch, or a hybrid solution comprised of SharePoint search and Elasticsearch
Elasticsearch is a distributed, open source search and analytics engine based on Lucene. Elasticsearch's mission is to make massive amounts of data usable for businesses everywhere by delivering the world’s most advanced search and analytics engine. The open source ELK stack (Elasticsearch, Logstash, and Kibana) is commercially supported by the company elastic (www.elastic.co).
Use Cases For Elasticsearch
There are many use cases for Elasticsearch. People all around the world from every industry are leveraging the power of Elastic products to do incredible work — from real-time search to log analysis to customizable data visualization. Elasticsearch is inside of many popular solutions including eBay, Linkedin, Wikipedia, and WordPress – and it is the basis of Microsoft’s Azure search offering.
Already Using Elasticsearch? Add new Capabilities
A wide range of additional capabilities is added to Elasticsearch when combined with SharePoint and BA Insight:
1Connectors: surface a wide range of enterprise data from over 50 systems into your search applications via our connectors
2Item-level security: natively there is no security in Elasticsearch. BA Insight adds item-level security so that users only see what they are authorized for in each connected source system
3Auto-Classification: power better facets and joins with highly relevant, automatically-generated metadata
4Federation: mash-up queries and results and present them cleanly in SharePoint using a powerful federation framework
5Applications: instantly deploy Smart Previews, Visual Refiners, InfoSites and other applications
SharePoint is nearly ubiquitous in enterprises and has been proven to be a highly effective portal solution with a large support ecosystem. BA Insight makes Elasticsearch appear as a native search service in SharePoint, not as a remote web page or service. Reach broader audiences by allowing SharePoint users to securely consume data from your Elasticsearch cluster.
Already using SharePoint? Add new Capabilities
Here are some examples of things you can do using our Elasticsearch solution that are not possible with native SharePoint:
1Geosearch applications (ranging from counter-terrorism through sales territory management to oil exploration) are enabled by the geolocation, aggregation, and join features in Elasticsearch
2Pattern search (such as searching across complex part numbers or scanning for PII) using Elasticsearch’s queries, filters, and aggregations, which can be combined to solve the most complex matching problems
3Low-latency search applications (such as searching over news feeds, social media feeds, financial transactions, or active email and chat communications) can provide immediate insight using Real-Time Data and Real-Time Analytics in Elasticsearch
4Search on machine data (such as IT application management or sensor monitoring) can use Logstash to collect and process logs to improve operations management
5Data visualization applications (such as real-time dashboards or heatmap panels) uses Kibana to gain insights that can improve your products or streamline your business
Elasticsearch's extreme scale and distributed architecture can be applied to solve the hardest problems, from big data to the trickiest global search challenges.