Rackspace Announces Data Connectors, Bridging Gap Between Disparate Data Stores
SAN ANTONIO, TX--(Marketwired - February 15, 2016) - The Rackspace data team[1] today unveiled early access for Data Connectors[2], which allows customers to intelligently move and analyze data that previously required coding and posed significant difficulties when integrating with BI and data visualization tools. With Data Connectors, and built-in automation for ObjectRocket Elasticsearch, customers can seamlessly connect MongoDB instances to Elasticsearch and Kibana.
While ObjectRocket MongoDB[3] offers a faster way to build and scale applications for a variety of use cases, including Internet of Things, mobile, personalization and content management, Elasticsearch[4] and Kibana[5] help you search and analyze data with customizable dashboards, unlocking insights and visualizations from a range of sources. Data Connectors simplify the task of moving between these data sources and tools without the time-consuming and expensive investment required at the onset.
For more information about Data Connectors, read the full Rackspace Blog post[6].
References
- ^ Rackspace data team (www.rackspace.com)
- ^ Data Connectors (objectrocket.com)
- ^ ObjectRocket MongoDB (objectrocket.com)
- ^ Elasticsearch (www.elastic.co)
- ^ Kibana (www.elastic.co)
- ^ read the full Rackspace Blog post (blog.rackspace.com)
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