Databricks.com is the corporate website for Databricks, a cloud-based data and AI company that provides a unified analytics platform—built on Apache Spark—for data engineers, data scientists, machine learning practitioners, and enterprise analytics teams to perform data engineering, data lakes, collaborative notebooks, and model training and deployment. The site is widely recognized across the technology and enterprise markets as a leading resource for documentation, product information, training and community resources for modern data and AI workflows, and it attracts substantial usage from its target audience, with estimated daily visits in the tens of thousands.
Score assigned based on the strength of the domain online
Estimated monthly organic traffic from search engines
Total number of links from other websites pointing to this domain
The site's traffic has declined by 16% year-over-year with over 489,791 monthly visits driven primarily by interest in data platform and analytics solutions spanning data engineering, ingestion and transformation patterns, real-time and business intelligence use cases, and model/format adoption across enterprise contexts. Traffic is concentrated in North America (~52% of visits), followed by Asia‑Pacific led by India (~29%), and Europe (~15%), reflecting a strong presence in enterprise and cloud-native markets where Databricks targets large tech, finance, and digital services customers.

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 Intelligence Platform.
The domain databricks.com was registered on July 13, 2011, through amazon registrar, inc. and uses Databricks for DNS and security. At 14 years old, the domain benefits from established credibility, mature online presence, proven track record, and accumulated authority, signaling strong trust signals, valuable SEO advantages, and greater confidence from users and partners.
Databricks’ backlink profile shows a mix of strong and mid-level referring domains with notable placements from DA 70+ sources (e.g., a high-authority GitHub profile at DA 73) alongside several medium-authority (DA 40-69) links from technology publications, developer resources, and industry leaders like insideAI and Wikimedia; this blend indicates a balanced set of endorsements from both developer/community hubs and industry outlets. Such a distribution strengthens Databricks’ organic search visibility by providing topical relevance, authority signals, and referral diversity that collectively boost the domain’s overall SEO strength and trust metrics.
The sample top-link set reveals a dofollow-to-nofollow ratio of approximately 60:40, a balanced distribution where a majority of links are dofollow and the dofollow links from high-authority sources are positioned to pass meaningful link equity and authority to Databricks. Anchor text is varied and appears natural: roughly 40% branded (e.g., "Databricks"), 40% naked URLs (e.g., "databricks.com"), 10% keyword-rich/descriptive, and 10% other (e.g., "official website"), a mix that generally looks healthy for organic growth though continued monitoring of keyword-rich anchors is recommended to avoid over-optimization.
Top Ranking Keywords
The domain databricks.com presents a concentrated keyword portfolio focused on brand-driven informational and recruitment queries—covering careers, product understanding, certifications, and community access—which collectively position the site as an authoritative, intent-rich hub for data engineering and analytics professionals. The top keyword 'databricks careers' attracts daily searches in the hundreds with a $2.95 CPC, indicating solid brand recognition. The other high-ranking terms — "what is databricks" (5,400 SV, $6.41 CPC, 24% competition - low), "databricks certifications" (3,600 SV, $4.12 CPC, 43% competition - moderate), "databricks community edition" (2,900 SV, $11.31 CPC, 25% competition - low), and the navigational/brand variant "databrick" (2,900 SV, $4.76 CPC, 35% competition - moderate) — show mostly low to moderate competition, signaling strong organic visibility for foundational product and educational queries while competitive certification-related intent draws more market attention. The domain’s strengths lie in strong organic visibility, a healthy keyword portfolio, and competitive SEO performance.
databricks.com is built on a modern frontend stack that includes React, Vue, Angular JS, and Bootstrap.js, enabling component-driven development, reusable UI patterns, and faster iteration for developers while supporting optimizations like server-side rendering for improved performance and optimal SEO. The backend and delivery layer leverages Amazon EC2 for core hosting, Cloudflare for CDN and edge optimizations, nginx for efficient request handling, and Vercel for serverless deployments, together providing scalability, low-latency global distribution, and operational reliability.
The security and DNS layer uses LetsEncrypt for TLS certificates, HSTS to enforce secure connections, Okta for identity management, and reCAPTCHA to mitigate bots, delivering robust encryption, DDoS mitigation and secure DNS/content delivery that help ensure fast, trustworthy access worldwide. Analytics and tooling such as Google Analytics, Google Tag Manager, Mixpanel, and Hotjar provide deep user insights, experimentation and monitoring to improve UX and development workflows, and the stack can be complemented by technologies like TypeScript for type safety, GraphQL for efficient data fetching, or modern CSS solutions for maintainable styling when adopted.
databricks.com competes in the data analytics, data engineering, and cloud data platform (lakehouse) space against established players like Snowflake, Informatica, Apache and newer alternatives such as ChaosGenius. Compared to more established players, databricks.com shows stronger organic traffic (489,791) than Snowflake (404,159) and Informatica (72,641) and slightly ahead of Apache (448,491), indicating a robust market presence driven by product-led adoption and a niche focus on unified lakehouse architecture and AI/ML tooling that has accelerated growth and direct developer engagement.
The site holds a Domain Authority score of 57, which in the data platform and analytics industry places it on parity with key competitors (all listed domains report a DA of 57), suggesting authority is comparable even as traffic and product positioning differentiate leaders. databricks.com targets data engineers, data scientists, and enterprise architects with integrated ML pipelines, collaborative notebooks, and scalable lakehouse capabilities, a combination that has delivered strong organic visibility and market penetration through developer advocacy, partner integrations, and enterprise deals.
Everything you need to know about databricks.com.
What is databricks.com's primary business model?
Databricks operates a cloud-native software-as-a-service (SaaS) business model, selling a unified data and AI platform that combines data engineering, data warehousing, machine learning, and analytics capabilities. Revenue is generated through subscription and usage-based pricing for its Lakehouse platform and related managed services, often delivered in partnership with major cloud providers. The company also offers professional services, training, and support to help enterprises deploy and scale data and AI workloads.
Is databricks.com considered a market leader, a challenger, or a niche player?
Market leader. Databricks is widely regarded as a leader in the data and AI platform space, credited with popularizing the Lakehouse architecture and maintaining strong adoption among large enterprises. Its position is reinforced by broad cloud partnerships, a large ecosystem, and leadership in areas like Apache Spark, Delta Lake, and ML tooling.
What makes databricks.com unique compared to its competitors?
Databricks differentiates itself with its Lakehouse architecture that combines data lake scalability with data warehouse performance, backed by core technologies like Delta Lake and tight integration with Apache Spark. It emphasizes end-to-end workflows for data engineering, analytics, and machine learning, offering managed tooling such as collaborative notebooks, MLflow, and unified governance features. The company’s strong open-source heritage and deep cloud partnerships further distinguish its platform and ecosystem.
What are the most recent major updates or strategic shifts seen on databricks.com?
In recent years Databricks has increasingly focused on supporting enterprise AI and generative AI use cases, enhancing governance, model management, and real-time serving capabilities across its Lakehouse platform. The company has expanded integrations with major cloud providers and invested in features for unified governance (e.g., catalogs and access controls), performance optimizations, and managed ML tools to accelerate production AI deployments. Where specific announcements vary over time, the overall strategic direction emphasizes driving AI adoption, strengthening enterprise security and compliance, and broadening ecosystem and partnership reach.