Securely connect to multiple AWS S3 buckets. Easily explore and manage the data in your cloud data lake.
Fast, scalable, and iterative pre-processing of vast amounts of data. ETL, integration and enrichment completed in just minutes.
No need to wait for batch to process. Real-time and interactive analysis of any size data.
Fast data preparation combined with integration with R and Python creates an efficient pipeline for data science.
Fast feature engineering features can be combined with Amazon Sagemaker or other machine learning platforms to improve ML workflows.
Running on Amazon EC2 instances, our solutions are highly scalable and cost effective for any size workload. Easily customize to fit time, cost, and size requirements.
AGILE, SCALABLE, COST EFFECTIVE, CLOUD BASED
Pivot Billions is a visualization and analysis solution that allows any user to explore and analyze large datasets in real-time in a dynamic and familiar spreadsheet-like interface. Pivot Billions is powered by Essentia, AuriQ’s enterprise-class agile data analysis and business intelligence platform. It is a SaaS based solution that is highly cost effective and highly scalable for any size data analysis need.
CJ Path helps marketers understand exactly how well each marketing method is performing and how each method interacts with each other for a better understanding of the customer and maximizing marketing performance.
Essentia is a highly efficient and highly scalable solution for managing, processing and analyzing vast amounts of unstructured, semi-structured and structured data stored in cloud data lakes. It utilizes parallel in-memory processing so all operations can be distributed across multiple virtual machines, enabling Essentia to scale to handle any data processing workload.
AuriQ is a leading provider of data analytic software in Japan and the US. Founded in 1996, AuriQ has leveraged its expertise with databases and business analytics to make innovative solutions that have been deployed in over 400 global enterprises. Our suite of solutions addresses various steps in the data analysis process, including collection, preparation, integration, and of course analytics. Big data, varied data, complex data, and dirty data are the common problems our solutions are designed to tackle.