e6data
Vishnu Vasanth has extensive work experience in various roles and industries. Vishnu is currently the Co-Founder and CEO of e6data since March 2020. Prior to that, they worked at Equicap Asia Pte Ltd as the Director of Investments from 2017 to 2020. Vishnu also co-founded and served as the CEO of RenewGEN from 2010 to 2017. Additionally, Vishnu worked in the investment team at PremjiInvest in 2008 and held a role in business development and technical marketing at Agilent Technologies from 2005 to 2007. Vishnu started their career as a Technical Marketing Engineer at National Instruments in 2004.
Vishnu Vasanth's education history is as follows:
From 1998 to 2000, Vishnu attended Christ University in Bangalore, where they pursued an Undergrad/Pre-University degree in Science.
From 2000 to 2004, Vishnu studied at RV College Of Engineering, specializing in Electronics and Telecommunications, and obtained a Bachelor of Engineering degree.
Finally, in 2007 and 2008, Vishnu attended the Indian School of Business, where they pursued a Post Graduate Program in Finance and Strategy.
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e6data
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e6data is a hyper-performant built-from-scratch SQL analytics engine for today's complex, high concurrency workloads. Rather than building hundreds of incremental improvements over the best existing technology, we took a clean slate approach to addressing the most deep-rooted problems in distributed query processing. The result is 5 - 20X faster speeds (or 60% lower costs) compared to industry-leading managed platforms (like Amazon Redshift, Snowflake, Google BigQuery), as well as open architecture platforms like (Databricks / Spark, Starburst / Trio / Presto, Dremio, etc.). Our core guiding beliefs that have influenced design choices at e6data: 1) Embrace Open Architectures and Open file formats (i.e. no vendor lock-in), 2) Deploy fully WITHIN customer data boundaries (e.g. cloud accounts, or on-premise) 3) Performance on ANY infrastructure (any cloud provider / any deployment scenario), 4) No data migration/replication / ETL into closed data warehouses (i.e. simplified architectures and lower cost compute), 5) Fully transparent to end-users - viz. no changes to existing data pipelines, existing SQL queries, existing BI tools/notebooks, existing governance frameworks, etc. 6) No other unfair cheat codes (i.e. no caching, no materialization, etc.), 7) Try before you buy, and Pay only for what you use