Feldera

Run monster SQL pipelines incrementally: 217 joins, 250M rows, about 200ms on one machine. Formally verified. Open source (MIT) or Enterprise.

Technical posts on incremental view maintenance, incremental computation, and real-time analytics from the team behind DBSP. About 90 posts and counting.

Z-sets model tables and their changes with signed row weights, letting core SQL operators (SELECT, WHERE, JOIN, UNION, aggregates) run on them directly.

What is incremental computation in a database

A quick overview of what's new in v0.21.

Feldera's incremental view maintenance engine is open source under MIT. Enterprise adds multi-node deployment, fault tolerance, and disaster recovery.

Feldera is up to 6.2 times faster than Flink for Nexmark queries.

Feldera was founded by the PhD team behind DBSP, a theory of incremental view maintenance recognized with the VLDB 2023 Best Paper.

Feldera provides a community on Slack and Discord and can be contacted about incremental view maintenance, pricing, or a demo.

Feldera provides incremental view maintenance for lakehouses and keeps SQL fresh in milliseconds. It handles 10x the data in the same 200 ms without batch jobs or rewrites.

Feldera secures **$21.5 million** in Series A funding, led by Inovia, to advance its **incremental view maintenance engine** for enterprises. The startup claims its technology can cut database compute costs by **95%** through a mathematical breakthrough. Feldera targets efficiency gains in enterprise data infrastructure by optimizing real-time data processing.

Sep 2026CXO DigitalpulseNews article

Feldera secures **$21.5 million** in combined Series A (led by Inovia Capital) and Seed (led by Costanoa Ventures) funding. The company aims to reduce database compute costs by **95%**, targeting efficiency gains for data-intensive workloads. Early backing highlights investor confidence in its cost-saving approach for cloud-based databases.

Sep 2026feldera.comNews article

Feldera secures **$21.5 million** in funding to address rising cloud costs for AI-driven enterprises. The company targets inefficiencies in maintaining real-time data pipelines, a growing pain point as businesses scale AI agent deployments. Executives cite escalating expenses from outdated data infrastructure as a critical challenge in AI adoption.

Sep 2026citybizNews article

Feldera secures $15.4 million in Series A funding to enhance enterprise data processing capabilities. The company, led by CEO Lalith Suresh, focuses on improving data infrastructure for businesses. The funding aims to support further development and expansion of its data solutions.

Sep 2026AxiosNews article