Big Data GridNeed big data solutions?

Millersoft delivers big data solutions on the Amazon Cloud. Performing data integration across multiple sources; SQL/NoSQL databases, Hadoop and web services like Google Analytics/Kissmetrics. Providing customers with a changing view of their entire business. Millersoft  uses open source solutions, running on commodity hardware, to drive down the cost of Big Data analytics.

 

Pentaho

Pentaho ResellerMillersoft has been a Pentaho Partner since 2010, being the longest serving partner in the UK. Millersoft used Pentaho Business Intelligence solutions to transform all company data into dashboards, reports and KPIs. Using commodity databases and cloud compute power, Millersoft delivers real-time business insight at lowest possible price point.

Amazon

AWS Partner NetworkMillersoft has been developing with Amazon Web Services since 2009 and are members of the AWS Partner Network (APN) offering; managed services, helping our clients to design, architect, migrate, manage their workloads, and deploy their applications on the Amazon Cloud using Redshift, DynamoDB and Amazon RDS.

Out of the box, Amazon provides a wide range of storage and compute environments, monitoring, scalability, no hassle databases, analytics, access management, and networking capability like never before. Entire warehouses filled with server racks, noisy cooling fans, on site security, and men in white coats to manage all this hardware 24/7 are no longer needed.

WARNING: If your IT department is not on the Cloud then they could be running your company into the ground.

Neo4J

Neo4J Solution PartnerMillersoft is one of the 1st Neo4j partners in the UK Millersoft and we specialise in combining Neo4j with Amazon Web Services to service truly massive graphs.

Neo4j is an open-source, highly scalable, robust (fully ACID) native graph database and used in mission-critical apps by thousands of leading startups, enterprises, and governments around the world.

Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. Graph databases store data in a graph, the most generic of data structures, capable of visually representing your data in a highly accessible way compared to the traditional structured databases most people have been using in the past.

Neo4J Kevin Bacon example