Big Data

Big data are large sets of raw, often unstructured data. Organizations used to purge this data because it was considered low quality and storage costs were high. Now storing data is much less expensive, so companies everywhere are looking for ways to harness this information to provide better insight into customer behaviors, analyze trends, and increase revenues.

The problem is how. Traditional data infrastructures can’t handle large amounts of data cost-effectively. Big data doesn’t fit neatly into relational databases making it difficult to store, manage, and analyze.

Pythian understands that big data is part of a whole solution that includes your existing data management systems. Our expert database consultants know how to build and configure your data infrastructure, so that it can manage all of your data—structured and unstructured—cost-effectively. Our extensive expertise in relational and non-relational databases combined with our experience implementing big data technologies, like Hadoop, and NoSQL technologies, like MongoDB and Cassandra, means we can help you develop a reliable solution that enables you to capture and store big data to be used and analyzed at another time. Having both relational and unstructured data experts on-board means that you will get a solution that truly fits your requirements


Adopting new technologies is a challenge in any organization, and Pythian experts have the experience necessary to help fit MongoDB into your data architecture. Our highly skilled database administrators can work with your engineers and business owners to validate that MongoDB is a good fit for your requirements.


Apache Cassandra

Apache Cassandra is a massively scalable NoSQL database, designed to handle real-time, big data workloads. It is a proven technology used by companies such as Netflix, eBay, and Cisco. Pythian’s experts have real-world experience deploying and managing large Cassandra clusters across multiple data centers and in the cloud. Cassandra is uniquely flexible in its data model, replication, durability, and optimization capabilities.



Hadoop is the platform of choice for big data analytics; however, getting started with Hadoop can be challenging. Very few companies have the required expertise to build an Hadoop production cluster and integrate it into their existing data infrastructure.