Infobahn’s Data Analytics services help clients to extract valuable insights from their historical or real-time data to help them in making better business decisions to disprove or verify existing models or theories.
Following an interdisciplinary approach, we incorporate techniques from database management, pattern recognition, machine learning, data visualization and statistics in our work.

Our solution Sparkflows (sparkflows.io) enables building end to end Big Data Applications to help users perform complex Analytics, Machine Learning & Data Pipelines on Apache Spark. All organizations dealing with Big Data have the challenge of extracting enough value out of them quickly. We provide a powerful solution in that direction. Use the drag and drop user interface to interactively build end-to-end data pipelines and application workflows, connecting datasets to transformation operations to machine learning modeling. Build new workflows using the functional building blocks or edit existing workflows to extend and customize the functionality.

Easily incorporate SQL, Spark/Scala, Jython custom code in your workflows. It does so by providing 180+ Operators on Data Profiling/Cleaning, Machine Learning, NLP, OCR and Visualization. The operators are brought together into a very Intelligent Workflow Editor. It also provides Dashboards for rich visualizations and has both batch and streaming engines running on Apache Spark. It connects to various big data sources (HDFS, HIVE, HBase, Kafka, Elasticsearch, etc.) and seamlessly handles both structured and unstructured data.