One platform for data and AI
Databricks (okera.com) scores 87 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among SaaS brands, Technology brands, in the 94th percentile of 37099 SaaS brands.
Databricks is an American technology company founded in 2013 and headquartered in San Francisco. It provides a unified Data + AI Platform based on a lakehouse architecture that combines data engineering, warehousing, governance, and artificial intelligence tools. The company targets enterprise data teams, developers, executives, and startups seeking to build data-driven applications and AI solutions. Ali Ghodsi serves as CEO.
| Brand Name | Databricks |
|---|---|
| Domain | okera.com |
| Industry | SaaS, Technology |
| Founded | 2013 |
| Headquarters | San Francisco |
| CEO | Ali Ghodsi |
| Main Competitors | Snowflake (93/100), Amazon Web Services (AWS), Google Cloud Platform, Microsoft Azure, Cloudera (83/100), Palantir (88/100), IBM (85/100), Teradata (56/100) |
Moz Domain Authority 33/100 vs category average 37 / leader 99 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Databricks has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Pl…" (Meta description: 30 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, 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: Cloudflare, Gatsby.
Social footprint: verified profiles on LinkedIn, X (Twitter), YouTube, Instagram, GitHub; no detected presence on Facebook - 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 September 2026.
When asked "What is Databricks?", Claude could identify the brand as of September 2026. This appears to be a mismatch: okera.com belongs to Okera, a data governance and access control company that was acquired by Databricks in 2024, not Databricks itself. Best known for Okera was known for fine-grained data access control and governance software, later absorbed into Databricks' Unity Catalog offering.
When asked "Best brands similar to Databricks?", Claude would not surface Databricks as of September 2026. Since Okera no longer operates as an independent product and its technology has been folded into Databricks, I'd point users to Databricks directly rather than the old Okera brand.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Databricks's main competitors in SaaS: Snowflake (93/100), Cloudera (83/100), Palantir (88/100), IBM (85/100), Teradata (56/100).
Sources: Brand Analyzer scan
Databricks offers a Data + AI Platform built on a lakehouse architecture. This includes tools for data engineering and ETL, data warehousing, data governance, and AI/machine learning development, all unified within a single platform designed for enterprise data teams and developers.
Sources: Databricks official site
Databricks is an American technology company, founded in 2013 and headquartered in San Francisco, that offers a unified Data + AI Platform. It is led by CEO Ali Ghodsi and is categorized as a SaaS/technology provider focused on enterprise data and artificial intelligence infrastructure.
Sources: Databricks official site
Databricks has limited AI-search visibility, scoring 49/100 on Brand Analyzer's AI visibility composite (visibility 65, trust 12, recommendation 65). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Databricks official site
Databricks was founded in 2013. Databricks operates in the SaaS category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Databricks is headquartered in San Francisco. Databricks operates in the SaaS category.
Sources: Wikidata
Databricks provides a unified platform that combines data engineering, data warehousing, governance, and AI development into a single lakehouse architecture. This allows enterprises to simplify ETL processes, manage data governance, and build AI applications without relying on multiple fragmented tools.
Sources: Databricks official site
Databricks scores 65/100 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: Databricks official site
Databricks 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: Databricks official site
Databricks is used by enterprise data teams, developers, executives, and startups who need to build data-driven applications and AI solutions. Its platform is designed for organizations seeking to unify data engineering, warehousing, governance, and AI development.
Sources: Databricks official site
Databricks is known for pioneering the 'lakehouse' architecture, which merges data lake and data warehouse capabilities into a single platform. It is recognized as a leading provider of unified data and AI infrastructure for enterprises seeking to streamline analytics and AI development.
Sources: Databricks official site
Databricks is popular because it offers a unified platform that eliminates the need for fragmented data tools, combining ETL, data warehousing, governance, and AI development into one lakehouse architecture. This data-centric approach appeals to enterprises and developers looking to build AI applications more efficiently at scale.
Sources: Databricks official site
Databricks scores 49/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Databricks has a limited AI-visibility profile at 49/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (65/100) and its weakest is trust (12/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: a low Moz Domain Authority of 33/100, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Databricks from memory (September 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 Databricks: Officevibe (87/100), O.C. Tanner (87/100), Oktopost (87/100), Olark (87/100).
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.