Scalable. Reliable. MySQL-compatible. Cloud-native.
Vitess (vitess.io) scores 70 out of 100 on Brand Analyzer, placing it in the Developing tier among SaaS brands, Technology brands, in the 25th percentile of 29610 SaaS brands.
Vitess is a database clustering system designed to make MySQL databases scalable, reliable, and compatible with cloud-native application environments. It allows organizations to horizontally scale MySQL deployments without losing reliability or compatibility. As a graduated project of the Cloud Native Computing Foundation, Vitess benefits from established community support and governance. It targets developers, database administrators, and engineering teams who require high-performance, scalable database infrastructure for large-scale, cloud-native applications.
| Brand Name | Vitess |
|---|---|
| Domain | vitess.io |
| Industry | SaaS, Technology |
| Main Competitors | PlanetScale (80/100), CockroachDB (76/100), TiDB (84/100), YugabyteDB (88/100), Amazon Aurora, Citus (74/100) |
Moz Domain Authority 47/100 vs category average 37 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #718,543 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "To provide a scalable, reliable, and MySQL-compatible database solution for cloud-native applications." (No meta description) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:image, og:type, Twitter cards, canonical. Adding Organization and 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: HubSpot.
Social footprint: verified profiles on GitHub, X (Twitter), LinkedIn, Facebook, Instagram, YouTube - 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 Vitess?", Claude could identify the brand as of October 2026. Vitess is an open-source database clustering system for horizontal scaling of MySQL, originally built at YouTube to handle massive scale and later donated to the CNCF. It sits as a layer on top of MySQL shards, handling sharding, connection pooling, query routing, and failover so Best known for Horizontally scaling MySQL through automated sharding, used famously by YouTube and now a CNCF graduated project.
When asked "Best brands similar to Vitess?", Claude would recommend Vitess as of October 2026. It's one of the most proven solutions for scaling MySQL horizontally and is a natural mention alongside other distributed database or scaling tools like PlanetScale, CockroachDB, or TiDB.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Vitess's main competitors in SaaS: PlanetScale (80/100), CockroachDB (76/100), TiDB (84/100), YugabyteDB (88/100), Citus (74/100).
Sources: Brand Analyzer scan
Vitess is a database clustering system that provides a scalable, reliable, and MySQL-compatible solution for cloud-native applications. It is a graduated project of the Cloud Native Computing Foundation (CNCF).
Sources: Vitess official site
Vitess has limited AI-search visibility, scoring 34/100 on Brand Analyzer's AI visibility composite (visibility 22, trust 29, recommendation 60). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Vitess official site
Vitess enables horizontal scaling of MySQL databases while maintaining reliability and compatibility, allowing organizations to manage large-scale, cloud-native database deployments efficiently.
Sources: Vitess official site
Vitess offers a database scaling and management solution that provides MySQL compatibility for cloud-native application environments, enabling horizontal scaling of MySQL databases.
Sources: Vitess official site
Vitess scores 60/100 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.
Sources: Vitess official site
Vitess is known for enabling horizontal scaling of MySQL databases in cloud-native environments without sacrificing reliability or compatibility, and for being a graduated CNCF project.
Sources: Vitess official site
Vitess is backed by its status as a graduated project of the Cloud Native Computing Foundation, which implies a level of community vetting, governance, and enterprise-grade reliability standards.
Sources: Vitess official site
Vitess 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: Vitess official site
Vitess is used by developers, database administrators, and engineering teams at organizations that require scalable, high-performance, and reliable database infrastructure for cloud-native applications.
Sources: Vitess official site
Vitess is popular among organizations that need to scale MySQL databases for cloud-native applications because it offers horizontal scalability without compromising reliability or MySQL compatibility, and it has the backing of the CNCF.
Sources: Vitess official site
Vitess scores 34/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Vitess has a weak AI-visibility profile at 34/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (60/100) and its weakest is visibility (22/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #718,543 (Tranco) and a Moz Domain Authority of 47/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Vitess 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 Vitess: VisionMAX (70/100), Vision InfoSoft (70/100), Vitest (70/100), VoiceAttack (70/100).
A step up - brands to learn from: Zocket (71/100), ZeroTrusted.ai (71/100).
Category leader: Hostinger (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.