Backblaze vs Exa
Side-by-side comparison of AI visibility scores, market position, and capabilities
NASDAQ-listed cloud storage with Backblaze B2 at $6/TB/month; $127.6M FY2024 revenue with 40x AI data storage growth competing with AWS S3 on price for object storage.
About
Backblaze is a cloud storage and backup company providing two primary services: Backblaze Computer Backup (unlimited personal computer backup for $99/year) and B2 Cloud Storage (S3-compatible object storage at $6/TB/month, significantly cheaper than AWS S3). Listed on NASDAQ (NASDAQ: BLZE) and headquartered in San Mateo, California, Backblaze generated $127.6 million in revenue in FY2024 (up 25% year-over-year) with B2 Cloud Storage contributing $63.3 million (up 36%) as the faster-growing segment driving the business.\n\nBackblaze B2 Cloud Storage is an S3-compatible API object storage service priced significantly below AWS S3, Google Cloud Storage, and Azure Blob Storage — making it the cost-preferred option for AI/ML data storage, media storage, and backup repositories where storage costs are significant. The AI tailwind has accelerated B2 growth: AI customers grew 70% year-over-year and AI data stored on B2 grew 40x year-over-year through 2025, as AI training datasets and model artifacts require large-scale, affordable object storage. The Computer Backup product serves 417,000+ consumers and small businesses backing up files.\n\nIn 2025, Backblaze's B2 ARR reached $81.8 million (up 26% YoY) with total ARR at $147.2 million, and the company targeted Q4 2025 free cash flow positivity as the business scales toward sustainable profitability. B2 Cloud Storage competes directly with AWS S3 (Backblaze charges no egress fees for data transferred to Cloudflare, a key differentiator), Wasabi, and DigitalOcean Spaces for the price-sensitive object storage market. The 2025-2026 strategy focuses on capturing AI infrastructure storage demand, expanding B2 as the storage backend for content delivery and media workflows, and continuing the transition from a backup-centric to a cloud storage platform company.
AI-native web search API for LLM agents and RAG applications; neural semantic search returning clean structured content competing with Tavily and Bing API for AI developer use cases.
About
Exa is a next-generation AI search engine and API designed specifically for AI agents and developers — providing LLM-optimized web search that returns clean, structured content from web pages rather than raw HTML or snippet-only results, enabling AI applications to integrate real-time web knowledge without content parsing overhead. Founded in 2022 by Will Bryk in San Francisco, Exa (formerly Metaphor) has raised approximately $22 million and targets developers building AI agents, RAG (retrieval-augmented generation) applications, and AI-powered research tools that need reliable, high-quality web data.\n\nExa's neural search API allows AI developers to search the web using natural language queries and receive full page content in LLM-friendly format, with metadata and relevance scoring. Unlike traditional web scraping or raw search API results that require significant parsing and cleaning, Exa returns semantically relevant, well-structured content that language models can process directly. Exa's index is curated for quality rather than comprehensiveness, prioritizing authoritative sources and freshness.\n\nIn 2025, Exa competes in the AI-native search and data retrieval market alongside Tavily (another AI search API), Perplexity API, and Bing Search API for AI agent web search capabilities. As AI agents that autonomously browse the web and research topics become more prevalent (Anthropic's Claude, OpenAI's GPT-4, and specialized agent frameworks like LangChain and CrewAI all need web access), the market for clean, AI-optimized web search has grown rapidly. Exa's neural search approach (using embeddings for semantic matching rather than just keyword matching) differentiates it for nuanced research queries. The 2025 strategy focuses on growing API developer adoption, expanding its index coverage, and building enterprise versions with custom crawling for proprietary content sources.
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