e6data
Vishal Masali is an experienced engineering professional with over 15 years in complex technology projects, specializing in data analysis and software engineering. Currently serving as Founding Engineer and Head of QA at e6data since July 2023, Vishal contributes to the development of a high-performance data Lakehouse compute engine, acclaimed by NASDAQ listed enterprises and unicorns for enhancing query speeds and achieving significant cost savings. Previously, as a Principal Consultant at Thoughtworks from November 2015 to July 2023, Vishal focused on technical program management, emphasizing strategic goal development. Earlier roles include Engineering Manager and various testing positions at Subex, as well as a brief tenure as a Software Engineer at Honeywell Technology Solutions, Inc.
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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