Distributed PostgreSQL for AI-native workloads
YugabyteDB (yugabyte.com) scores 88 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among SaaS brands, Technology brands, in the 94th percentile of 29592 SaaS brands.
YugabyteDB, headquartered in Sunnyvale and founded in 2016, is a distributed, PostgreSQL-compatible database designed for AI-native and agentic application workloads. It allows organizations to begin with a serverless deployment and scale to mission-critical production environments without re-platforming. The database is positioned as resilient and multimodal, supporting use cases ranging from small, agent-specific databases to large-scale distributed clusters. Its target audience includes enterprises, developers, and technical teams building scalable, resilient database infrastructure for modern applications.
| Brand Name | YugabyteDB |
|---|---|
| Domain | yugabyte.com |
| Industry | SaaS, Technology |
| Founded | 2016 |
| Headquarters | Sunnyvale |
| Main Competitors | CockroachDB (76/100), Google Cloud Spanner, Amazon Aurora, TiDB (84/100), Neon (90/100), Supabase (88/100), PlanetScale (80/100), MongoDB (93/100) |
Moz Domain Authority 45/100 vs category average 37 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #105,507 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
YugabyteDB has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "The distributed PostgreSQL database for agents and AI-native workloads. Start serverless and grow to mission-critical. Never re-platform." (Meta description: 17 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 2 JSON-LD block(s), Organization schema, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Cloudflare, WordPress, Ghost.
Social footprint: verified profiles on GitHub, X (Twitter), LinkedIn, YouTube, Facebook, Instagram - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is YugabyteDB?", Claude could identify the brand as of October 2026. YugabyteDB is an open-source distributed SQL database designed to be PostgreSQL-compatible while providing horizontal scalability, resilience, and geo-distribution similar to systems like Google Spanner. It's built by Yugabyte, a company that also offers a managed cloud database Best known for A distributed, PostgreSQL-compatible SQL database built for horizontal scalability and high availability across regions.
When asked "Best brands similar to YugabyteDB?", Claude would recommend YugabyteDB as of October 2026. It's a well-known player in the distributed SQL database space, often mentioned alongside CockroachDB and Google Spanner when discussing scalable relational databases.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
YugabyteDB's main competitors in SaaS: CockroachDB (76/100), TiDB (84/100), Neon (90/100), Supabase (88/100), PlanetScale (80/100).
Sources: Brand Analyzer scan
YugabyteDB is a distributed, PostgreSQL-compatible transactional SQL database built for AI-native and agentic workloads. It is designed to let organizations start with a serverless deployment and scale up to mission-critical, large-scale production use without needing to switch database platforms. Founded in 2016 and headquartered in Sunnyvale, it positions itself as a resilient, multimodal database bridging serverless simplicity with enterprise-grade scalability.
Sources: YugabyteDB official site
YugabyteDB has moderate AI-search visibility, scoring 65/100 on Brand Analyzer's AI visibility composite (visibility 60, trust 68, recommendation 71). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: YugabyteDB official site
YugabyteDB was founded in 2016. YugabyteDB operates in the SaaS category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
YugabyteDB is headquartered in Sunnyvale. YugabyteDB operates in the SaaS category.
Sources: Wikidata
YugabyteDB offers a distributed, transactional SQL database that is compatible with PostgreSQL. Its offering spans from serverless, fractional, agent-specific database deployments to large-scale distributed clusters designed for mission-critical enterprise use, allowing customers to scale without switching database platforms.
Sources: YugabyteDB official site
YugabyteDB provides a distributed, PostgreSQL-compatible database that enables businesses to build applications ranging from small, agent-specific databases to the world's largest distributed clusters. It supports transactional workloads while offering resilience, multimodal data handling, and the ability to grow from serverless starting points to mission-critical production systems without re-platforming.
Sources: YugabyteDB official site
YugabyteDB scores 71/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest SaaS options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: YugabyteDB official site
YugabyteDB can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: YugabyteDB official site
YugabyteDB is used by enterprises, developers, and technical teams that build AI-native and agentic applications requiring scalable, resilient, and PostgreSQL-compatible database infrastructure. Its target audience includes organizations that need to move from serverless-scale deployments to mission-critical production systems.
Sources: YugabyteDB official site
YugabyteDB is known for being a distributed, PostgreSQL-compatible database that allows businesses to start serverless and scale to mission-critical workloads without re-platforming. It is positioned specifically for AI-native and agentic application use cases, combining PostgreSQL compatibility with distributed, resilient architecture.
Sources: YugabyteDB official site
YugabyteDB scores 65/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
YugabyteDB has a moderate AI-visibility profile at 65/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (71/100) and its weakest is visibility (60/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #105,507 (Tranco). In a live check, Claude could already identify YugabyteDB from memory (October 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to YugabyteDB: Yubico (88/100), Yellowfin (88/100), Zed (88/100), Zeotap (88/100).
A step up - brands to learn from: Zuken (91/100), ZoneAlarm (91/100).
Category leader: Hostinger (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.