lancedb.com traffic, backlinks, authority, and more

LanceDB is a machine learning infrastructure project and company offering a high-performance vector database and embedding storage/retrieval tools targeted at developers, ML engineers, and data scientists working on AI applications. The site is moderately recognized within the AI developer and research community but remains niche to general audiences, known among practitioners for its performance and tooling with estimated daily visits in the dozens.

Domain Authority
Authority score: 32/100
32/100

Score assigned based on the strength of the domain online

Monthly Traffic-14.6%
2K

Estimated monthly organic traffic from search engines

Backlinks
58.1K

Total number of links from other websites pointing to this domain

Traffic Analysis

-14.6% vs last month

The site's traffic has declined by 17% year-over-year with over 2,035 monthly visits driven primarily by interest in advanced LLM and vector-database capabilities, tooling for inspecting and productionalizing embeddings and databases, and research/implementation signals around memory-augmented models and modern table/format integrations. Traffic is overwhelmingly concentrated in North America (≈83.7%), with a smaller but notable presence in Europe (≈9.9%) and Asia‑Pacific (≈4.4%), reflecting a product audience and industry footprint focused on U.S.-centered AI and developer markets with growing adoption in Western Europe and pockets of APAC interest.

Domain Preview & WHOIS Information

Domain Preview
https://lancedb.com/
Designed for Multimodal.  Built for Scale.

Designed for Multimodal. Built for Scale.

From agents to models, from search to training, one platform for all your AI data and workloads

WHOIS
Namelancedb.com
Registrarnamecheap inc
Registered OnMar 18, 2023
Expires OnMar 18, 2027
Updated OnFeb 16, 2026
Name Serversns-240.awsdns-30.com
DNSSECunsigned

The domain lancedb.com was registered on March 18, 2023, through namecheap inc and uses AWS for DNS and security. At 3 years old, the domain sits in a mid-age range indicating a developing presence and growing authority, which typically translates into growing authority, increasing trust signals, and accumulated SEO benefits that can boost search visibility and credibility over time.

Domain Authority & SEO Metrics

Authority Metrics
32
Domain Authority
57
Page Authority
32
Trust Score

LanceDB shows solid page-level strength but moderate overall authority and moderate trust signals, meaning it can perform well for targeted pages and content-driven queries yet still needs focused backlink diversification, trust-building and domain-level SEO improvements to close the gap with more established competitors and move into a more competitive positioning.

Keyword Rankings

Top Ranking Keywords

lancedb viewer
50/moSearch Volume
#1Position
lancedb vector store
40/moSearch Volume
#1Position
lens db
170/moSearch Volume
#2Position
langchain chunking
110/moSearch Volume
#2Position
lancedb vector database
40/moSearch Volume
#1Position

The domain lancedb.com demonstrates a focused keyword portfolio centered on vector database tooling and developer-focused utilities, ranking in top positions for branded and technical queries with generally low competition and mixed commercial signals. The top keyword 'lancedb viewer' attracts daily searches in the dozens with a $0 CPC, indicating solid brand recognition. The other keywords — lancedb vector store (position 1, 40 SV, 14% competition), lens db (position 2, 170 SV, 0% competition), langchain chunking (position 2, 110 SV, 1% competition), and lancedb vector database (position 1, 40 SV, $4.75 CPC, 19% competition) — sit in the low-competition range (0–33%) which reveals a niche, technically savvy audience and room to capture commercial intent especially where the higher $4.75 CPC signals monetizable interest. The site’s current footprint reflects strong organic visibility and a healthy keyword portfolio indicating competitive SEO performance.

Technology Stack

Frontend
React
jQuery
Emotion
GSAP
Infrastructure
Amazon
Amazon CloudFront
Amazon S3
Amazon Route 53
Analytics & Tools
Google Analytics
Google Analytics 4
Google Tag Manager
Hubspot
Security
LetsEncrypt
HSTS
DMARC
SPF

The site is built on a modern frontend stack that combines React, legacy jQuery, the CSS-in-JS library Emotion, and high-performance animation tooling GSAP, giving a component-driven codebase with fast rendering and strong developer ergonomics for styling and animations. On the backend and hosting side lancedb.com runs on Amazon infrastructure with Amazon CloudFront for CDN edge delivery, Amazon S3 for durable asset storage, and Amazon Route 53 for DNS, together providing global distribution, high availability and scalability for static and dynamic content delivery.

The security and DNS layer uses LetsEncrypt for TLS, HSTS to enforce HTTPS, and email protection standards DMARC and SPF, combining to ensure encrypted connections, secure DNS/anti‑spoofing, and reliable content delivery across regions. Analytics and tooling such as Google Analytics, Google Analytics 4, Google Tag Manager, and Hubspot provide actionable monitoring and user insights, while the presence of Emotion as a modern CSS solution underscores maintainable styling and improved developer experience (with TypeScript or GraphQL able to be integrated for type safety and efficient data fetching where needed).

Competitive Landscape

lancedb.com competes in the vector database and developer data infrastructure space against established players like Weaviate and newer alternatives such as tontinton.com, lancedb.github.io, and basementprogrammer.com. Compared with more established players, lancedb shows a modest but focused traffic footprint (2,035 organic visits versus Weaviate's 6,474) and a comparable backlink profile, positioning it as a developer-centric, lightweight open-source alternative that leverages strong technical documentation and integrations to capture niche adoption rather than broad enterprise share.

The site has a Domain Authority score of 32, which sits in parity with direct peers in the vector database industry but remains moderate relative to large incumbents, indicating similar SEO strength across these niche projects but room to grow for broader visibility. lancedb targets developers and ML engineers with simple APIs, self-hosting options, and low-latency vector search, a combination that has driven organic visibility and strong word-of-mouth growth and enabled measurable market penetration within technical user segments.

FAQ on lancedb.com

Everything you need to know about lancedb.com.

What is lancedb.com's primary business model?

LanceDB is primarily an open-source software project that offers a lightweight, Parquet/Arrow-native vector store and developer SDKs. The project is community-driven and emphasizes free, local-first usage while the broader ecosystem and ecosystem participants explore paid cloud, hosting, or enterprise integrations around the core technology.

Is lancedb.com considered a market leader, a challenger, or a niche player?

Challenger. LanceDB is a rising project in the vector database space with distinctive technical choices, but it is not yet at the scale or broader commercial footprint of established market leaders; it competes with and complements other specialized vector DBs and tooling.

What makes lancedb.com unique compared to its competitors?

LanceDB’s differentiators include a Parquet/Apache Arrow-native storage approach that targets efficient, low-cost disk-based vector operations and easy integration with data lakes. It emphasizes local-first usage, lightweight SDKs for Python and Node, and design choices that prioritize interoperability with existing data tooling rather than a closed, fully managed stack.

What are the most recent major updates or strategic shifts seen on lancedb.com?

Recent activity has focused on improving performance, expanding client SDKs, and deepening Parquet/Arrow integration to make the project practical for both local and cloud workflows. Public signals and repository updates indicate an emphasis on indexing options, LLM integration patterns, and growing community contributions rather than a sudden pivot to a different business model.