Our Technology Partners


Alteryx Analytics provides analysts with the unique ability to easily prep, blend and analyze all of their data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks.

Analysts love the Alteryx Analytics platform because they can connect to and cleanse data from data warehouses, cloud applications, spreadsheets and other sources, easily join this data together, then perform analytics – predictive, statistical and spatial – using the same intuitive user interface, without writing any code.


Tableau helps people see and understand their data. In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Within these data are huge opportunities for human advancement. But to turn opportunities into reality, people need the power of data at their fingertips. Tableau is building software to deliver exactly that. Tableau software is transforming the way people use data to solve problems. Their software makes analyzing data fast and easy, beautiful and useful. It’s software for anyone and everyone.


Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines (physical or virtual), enabling fault-tolerant and elastic distributed systems to easily be built and run effectively. A distributed systems kernal: Mesos is built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernal runs on every machine and provides applications (e.g., Hadoop, Spark, Kafka, Elastic Search) with API’s for resource management and scheduling across entire datacenter and cloud environments.

Anaconda Python

Python, the fasted growing open data science platform. Anaconda is tuned to take advantage of modern computing environments – everything from multi-core servers, to distributed architectures and GPUs – delivering flexibility and allowing you to maximize your infrastructure investment. All of this plus the key capabilities required of an open source modern analytics platform – spanning advanced analytics, interactive visualizations, governance, security and operational support.


R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.