SpiralDB
Develops the Vortex columnar format implementing Cascading Compression, a recursive data-driven approach that chains mul
Our Take
SpiralDB is building a columnar format called Vortex that stacks multiple compression encodings per column in a recursive way, which is honestly a pretty standard technique in the OLAP space — DuckDB and ClickHouse have been doing similar things for years. The question isn't whether recursive compression sounds cool, it's whether their specific implementation actually moves the needle on query performance against established players who've had years to optimize. Give me a benchmark before I'm impressed.
Key Facts
Links
Browse by category
Similar products worth knowing
Pierre Computer
AI-native git platform designed for AI agents pushing code, handling massive scale (15,000+ repos per minute) compared t
vLLM
Open-source inference serving engine for LLMs, with day-0 support for Gemma 4 across GPU/TPU
Cognichip
Startup building deep learning models that work alongside engineers to design new computer chips, potentially cutting ch
Paragon
Integration platform that helps AI companies accelerate product roadmaps with tools like ActionKit for agent tools and M
Want products like this in your inbox every morning?
Five products. Every morning. Written by someone who actually cares whether they're good or not. Free forever, unsubscribe whenever.