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

Analytics

e6data

Vishnu Vasanth

Srinath Prabhu

Adishesh Kishore

The Software Engineering and DevOps team at e6data is responsible for developing, deploying, and maintaining the company's hyper-performant SQL analytics engine. This team tackles complex high concurrency workloads by building scalable, efficient, and reliable software solutions. They manage cloud infrastructure, ensure seamless integration with customer data environments, and maintain high performance across multiple deployment scenarios. Additionally, the team works on performance optimization, security measures, and rigorous testing to ensure the product meets industry standards and customer expectations.

Software Engineering and DevOps

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