Partnerships


Datameer

Quite simply, we’re the only end-to-end big data analytics application purpose-built for Hadoop. We’re here to abstract the complexity of Hadoop and be the only application needed to put the power of big data analytics directly into the hands of those who know their data best. Hundreds of customers, including CIOs, CMOs, CTOs, doctors, scientists, law enforcement officials, and even olympic athletes, are all relying on Datameer to help them get from raw data to insight faster than ever.

MapR

MapR delivers on the promise of Hadoop with a proven, enterprise-grade platform that supports a broad set of mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified Big Data platform. MapR is used across financial services, retail, media, healthcare, manufacturing, telecommunications and government organizations as well as by leading Fortune 100 and Web 2.0 companies.

Talend Silver Partner

Talend is the leading open source integration software provider focused on enabling organizations to become data-driven enterprises. Talend helps companies connect data and applications ranging from on-premise to cloud systems, from Hadoop to NoSQL to sensors. And we do this at big data scale, 5x faster than our competition and at a 1/5 the cost.

Cazena

We founded Cazena with a vision to provide Big Data on Demand: data made available for access and analysis simply and immediately. Today is an exciting milestone. After two years of development, we are officially announcing Cazena’s Big Data-as-a-Service. This service essentially wires up enterprises for Big Data on Demand.

Contrado

We are a team of professionals with vast and in depth experience spread over various industries across the globe committed to the cause of helping you in growing your organisation and it’s all round productive potential thereby enabling you to grow your business in a more efficient manner and stay ahead of the curve.