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Measured Search Launches Enhanced Capabilities to Accelerate Cloud Adoption and Search Management in the Enterprise at Lucene/Solr Revolution 2017
Wednesday, September 13, 2017

Measured Search Provides Unparalleled Ease of Use, Performance, Security, Support, and Actionable Analytics For Apache Solr Users in AWS, Microsoft Azure and Google Cloud.

LAS VEGAS, Sept. 13, 2017 /PRNewswire-iReach/ -- September 13, 2017 - Measured Search Inc, provider of the leading open source search-as-a-service solutions, today announced the availability of several new products to help Enterprises accelerate and optimize their Apache Solr deployments in the cloud: SearchStax Cloud Private - AWS, SearchStax Cloud Private - Azure, and A/B Relevance Testing

Measured Search's SearchStax Solr-as-a-Service platform offers key features focused on the needs of enterprise customers:

SearchStax Cloud Private - AWS
SearchStax Cloud Private - AWS is a fully managed, alway-on, cost optimized Apache Solr service available in private environments within AWS. It utilizes a dedicated Virtual Private Cloud (VPC) that is connected to your applications with VPC Peering. Based on Apache Solr and amplified by SearchStax, SearchStax Cloud Private - AWS delivers high security, availability, and scalability for your AWS hosted search infrastructure needs that also reduces your overall operational overhead.

SearchStax Cloud Private - Azure
SearchStax Cloud Private - Azure is a fully managed, alway-on, cost optimized Apache Solr service available in private environments within Microsoft Azure Cloud. It utilizes a dedicated Virtual Network (VNet) that is connected to your applications with Virtual Network Peering. Based on Apache Solr and amplified by SearchStax, SearchStax Cloud Private - Azure delivers high security, availability, and scalability for your Microsoft Azure hosted search infrastructure needs that also reduces your overall operational overhead.

A/B Relevance Testing
Relevance optimization is hard. We want to make it easier. We want to give non-technical people the ability to tweak and tune their search relevancy models. Product managers, merchandisers, and marketers want to be able to tune the relevance of their search algorithms, but until now they have not had the tool set that would enable this level of optimization. With A/B Relevance Testing, SearchStax enables the testing of text match and numeric match boosts and then the comparison of key search metrics like click thru rates, average click position, mean reciprocal rank, and no result percentage.

"SearchStax Cloud Private enables enterprises to securely and cost effectively deploy their search applications in the cloud. By utilizing private cloud peering between SearchStax and our client's private clouds, we effectively wall off all outside traffic to optimize our customer's security profile and network throughput which is ideal for mission critical search applications.

Our A/B Testing feature brings search relevance tuning to the people who know their content the best and enables them to tune the relevance model to lift the metrics that they care about the most. We're excited to get this new feature into the hands of our customers and see them move the needle for their organizations."
-Sameer Maggon, CEO Measured Search

About Measured Search
Measured Search® enables companies to elevate the experience of Apache Solr or Elasticsearch based search applications faster and with more confidence. SearchStax® by Measured Search is a leading cloud orchestration, management, and analytics platform for Open Source Search. Delivering cloud agnostic search as a managed service, Measured Search offers software and services that automate Solr or Elasticsearch management and administration in the cloud, improves stability and performance, provides comprehensive end-user search analytics, and on demand Search expertise.

Media Contact: Bing Gin, Measured Search, Inc., 310-426-2351, bing@measuredsearch.com

News distributed by PR Newswire iReach: https://ireach.prnewswire.com

SOURCE Measured Search, Inc.



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