Defog.ai vs Wasabi
Side-by-side comparison of AI visibility scores, market position, and capabilities
San Francisco enterprise text-to-SQL AI with open-source SQLCoder outperforming GPT-4 on SQL benchmarks; YC W23-backed $2.7M at $1.1M revenue competing with Vanna.ai for natural language database querying.
About
Defog.ai is a San Francisco-based enterprise data analysis company building fine-tuned language models for structured data — most notably SQLCoder, an open-source LLM that outperforms GPT-4 on text-to-SQL benchmarks and has become a widely-used reference model for natural language database query generation. Founded in 2023 by Rishabh Srivastava and backed by Y Combinator (W23) with $2.7 million total raised including a $2.2 million seed in November 2023 led by Script Capital, Defog generated $1.1 million in revenue as of June 2024 with a 7-person team serving enterprise data and analytics teams.
Cloud object storage at 80% less than AWS S3 with no egress fees; S3-compatible platform serving 50K+ customers in media, backup, and AI data storage workloads.
About
Wasabi Technologies is a cloud object storage company providing hot cloud storage at approximately 80% less cost than Amazon S3, competing on price, performance, and simplicity for customers who need to store and access large volumes of data in the cloud. Founded in 2015 in Boston, Massachusetts by David Friend and Jeff Flowers (both serial entrepreneurs who previously founded Carbonite), Wasabi has raised approximately $500 million and positioned itself as the lowest-cost alternative to AWS S3, Google Cloud Storage, and Azure Blob Storage for high-volume data storage needs.
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