The all-in-one platform for modern data workloads across data engineering, machine learning and analytics.
Modern data workloads incorporate diverse modalities stored in various formats and systems. Eventual simplifies this with a Python-native platform that integrates seamlessly with existing tools, supports scalable data processing, and interoperates with diverse data types.
OUR OPEN SOURCE ENGINE
Amazon uses Daft to manage exabytes of Apache Parquet in our Amazon S3-based data catalog. Daft improved the efficiency of one of our most critical data processing jobs by over 24%, saving over 40,000 years of Amazon EC2 vCPU computing time annually.
Patrick Ames
Principal Engineer @ Amazon
Daft has dramatically improved our 100TB+ text data pipelines, speeding up workloads such as fuzzy deduplication by 10x. Jobs previously built using custom code on Ray/Polars has been replaced by simple Daft queries, running on internet-scale unstructured datasets.
Maurice Weber
PhD AI Researcher @ Together AI
Daft was incredible at large volumes of abnormally shaped workloads - I pointed it at 16,000 small Parquet files in a self-hosted S3 service and it just worked! It's the data engine built for the cloud and AI workloads.
Tony Wang
Data @ Anthropic, PhD @ Stanford
Daft as an alternative to Spark has changed the way we think about data on our ML Platform. Its tight integrations with Ray lets us maintain a unified set of infrastructure while improving both query performance and developer productivity. Less is more.
Alexander Filipchik
Head Of Infrastructure at City Storage Systems (CloudKitchens)
OUR TEAM
Eventual is built by experts in distributed data systems, machine learning, and high performance computing.
Sammy Sidhu
CEO & Co-Founder
High performance computing, prev. CTO @ DeepScale
Jay Chia
Co-Founder
Prev. Cloud data systems for ML Infra @ Freenome & Lyft
Kevin Wang
Software Engineer
Prev. Quant research @ Akuna & Arrowstreet
Colin Ho
Software Engineer
Prev. Software Engineer @ Stripe & Coinbase
Cory Grinstead
Software Engineer
Contributor of Polars, Apache DataFusion, & LanceDB
Desmond Cheong
Software Engineer
Query Processing, prev. Photon @ Databricks
ChanChan Mao
Developer Relations
Prev. Developer Advocate & Community @ Alluxio
Raunak Bhagat
Software Engineer
Prev. Simulations Software Engineer @ Tesla
Join us today.
We’re a fun loving team that’s passionate about building awesome systems. Come join us in our office in San Francisco!
See Open Roles