third normal

Our expertise is finding the right mix. Spend enough to build a solid solution that profitably grows the business.

what we do

We specialize in high performance data solutions

High performance Databases

We work with the highest performing database technologies that embrace massive parallel processing:

Snowflake, BigQuery, Redshift, Teradata, Netezza, Vertica, Yugabyte

Distributed computing

We understand distributed computing architectures and technologies so your data processing, machine learning, and analytics are as fast as possible:

Spark, Databricks, Scala, Elixir, Julia, Python

HARDWARe based accelerators

Not fast enough? We can build custom hardware based accelerators to enable hyper-speed data processing using cutting edge hardware accelerators:

Computational SSD, DPUs, GPUs, FPGAs

We are obsessed with implementing end-to-end data pipelines based on high performance databases, distributed computing and machine learning.
CTO, Maker of Analytics That Work Fast

Charlie has been a technology entrepreneur, inventor and consultant for over 20 years. He is passionate about innovation and his work in the field has led to patents related to big-data, distributed computing, text analytics and emotion detection in text. Charlie is the inventor on a provisional patent for a very unique FPGA hardware accelerator that brought data processing demands from 130 servers down to four!

Lead Digital Marketing and Analytics

Amber Wardell is the founder and CEO of, as well as Amber holds her Doctorate in Cognitive Psychology with a focus on how emotion and cognition influence decision making. Her expertise lies in understanding human emotion which allows her to bring unique insights into existing digital campaigns that other marketers may not notice. She has brought this skill set to her own businesses and aims to equip large and small businesses to do the same.

Managing Director, Third Normal India

Passion for leading the architecture and implementation teams of large scale distributed systems based on Scala, Spark, Databricks and Kafka. Satendra is responsible for end to end product development, exploring new and promising technologies utilizing the best practices of distributed computing.


Chris is a maker and seller. He led the development of a Text Analytics application to pre-indicate stock prices. He also headed the data center sales team for Wipro and grew the business from $200m to $300m in two years. Chris has participated in four startups.

With origins in academia and the open source community, Databricks was founded in 2013 by the original creators of Apache Spark™, Delta Lake and MLflow. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.

Vertica’s SQL Data Warehouse is trusted by the world’s leading data-driven companies, including Cerner, Etsy, Intuit, Uber and more to deliver speed, scale and reliability on mission-critical analytics. Vertica combines the power of a high-performance, massively parallel processing SQL query engine with advanced analytics and machine learning so you can unlock the true potential of your data with no limits and no compromises.

Amazon RedShift's Price-Performance Advantage Improves as Your Data Warehouse Grows. Analyze All of Your Data with the Fastest and Most Widely Used Cloud Data Warehouse. Highly Scalable. Seamless and Scalable. Durable, Safe & Secure.

Democratize data analytics across your business so users at all levels and with varying expertise can make data-driven decisions. Create and run modern integrated data applications to best serve your customers, employees, or business partners. Develop new revenue streams based on data to help drive your business forward.