Do Data Different

 
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Big Data Experts

We assist companies around the world to successfully design, develop and maintain big data platforms. Our team has a plethora of industry experience including Insurance, Loyalty Marketing, Energy, Payment Systems and also the biggest games in the world including Call of Duty, Destiny and Skylanders.

 
 
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We Partner With the Best

Confluent's Kafka is an industry first stream data platform, which we have deployed since inception. There isn't a competitor to Kafka that comes close.

We love what our clients are doing with Elastic Search, we specialise in enabling real time analytics internally in companies using the Elastic, LogStash and Kibana framework.

Hadoop Experts

When we work in big data, we use Hadoop. We are vendor agnostic which enables us to pick the right flavour – be it EMR, Cloudera, Hortonworks or MapR. We even develop open source tools to make everyone's life easier with their big data journey.

Real-time

All in memory, lambda or Elastic. We have you covered when you need to access information as it happens.

Get In Contact

We would love to hear from you. We offer professional services in architecture, development, implementation and administration for companies who are on the big data journey.



 

Data EnGINEERING

We specialise in helping you build reliable and scalable data analytic environments that integrate with your companies existing production platforms.

IN CLOUD OR ON PREMISE

Where your services call home makes no difference to Needles – we have experience deploying to both cloud providers and on premise.

Data Strategy

Just starting on your analytic journey or extending an existing platform? Needles can develop a strategy that aligns to your companies short and long term goals.


About Us

Co-Founded by ex Activision-Blizzard big data engineers, Needles' big data experience is not something that many other consultancies come close to. We are super passionate about helping companies make their big data leap, which is why Needles was formed in mid 2015.