ParadeDB vs Reducto
Side-by-side comparison of AI visibility scores, market position, and capabilities
SF YC S23 transactional Elasticsearch alternative built on Postgres with 400K+ deployments in 12 months; $14M total ($12M Craft Series A 2025) serving Alibaba Cloud/Bilt/Modern Treasury competing with Elastic for Postgres-native search.
About
ParadeDB is a San Francisco-based database company — backed by Y Combinator (S23) with $14 million in total funding including a $12 million Series A in 2025 led by Craft Ventures with Y Combinator — providing developers and data engineering teams with a transactional Elasticsearch alternative built as a Postgres extension, enabling full-text search, vector search, and analytics directly within existing PostgreSQL databases without managing a separate Elasticsearch cluster. Launched in December 2023, ParadeDB has achieved 400,000+ deployments in 12 months and serves customers including Alibaba Cloud, Bilt Rewards, and Modern Treasury — making high-performance search and analytics available within ACID-compliant Postgres transactions that Elasticsearch cannot support.
SF AI document parsing API processing 1B+ pages monthly at 20%+ higher accuracy than AWS/Google/Microsoft; $108M total ($75M a16z Series B Oct 2025) serving Scale AI, Harvey, and Fortune 10 for enterprise document intelligence.
About
Reducto is a San Francisco-based AI document intelligence company — backed by $108 million in total funding including a $75 million Series B led by Andreessen Horowitz in October 2025, plus a $24.5 million Series A from Benchmark in April 2025 and an $8.4 million seed from First Round Capital, Y Combinator, BoxGroup, SV Angel, and Liquid2 in October 2024 — providing enterprises and AI development teams with the most accurate document parsing API available for extracting structured data from PDFs, scanned documents, spreadsheets, and unstructured files at human-level reading accuracy. Reducto processes over one billion pages monthly for thousands of customers including Scale AI, Harvey, Rogo, Fortune 10 enterprises, global financial institutions, and Big Four accounting firms — delivering 20%+ higher extraction accuracy than AWS Textract, Google Document AI, and Microsoft Azure Form Recognizer.
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