Today's analytics use cases require a clean slate approach to understanding, planning, and executing queries - especially in a distributed computing paradigm. Rather than building hundreds of incremental improvements over the best existing technology, we're building almost EVERY aspect of a big data analytics engine from scratch!Core guiding beliefs that have influenced design choices at E6X:1) Embrace Open Architectures and Open file formats (i.e. no vendor lock-in),2) Performance on ANY infrastructure (any cloud provider / any deployment scenario),3) No data migration/replication / ETL into closed data warehouses (i.e. simplified architectures and lower cost compute),4) Fully transparent to end-users - viz. no changes to existing data pipelines, existing SQL queries, existing BI tools/notebooks, existing governance frameworks, etc.5) No other unfair cheat codes (i.e. no caching, no materialisation, etc.),6) Deploy fully WITHIN customer data boundaries (e.g. cloud accounts, or on-premise)7) Try before you buy, and Pay only for what you useWe believe our radically different approach will result in 40 - 100X faster speeds at 70 - 80% lower costs than both industry-leading closed platforms (like Amazon Redshift, Snowflake, Google BigQuery), as well as open architecture platforms like (Databricks / Spark, Presto, Impala, etc.).I'm reachable at rajath@e6x.io