LanceDB Enterprise is an AI-native lakehouse designed to unify and manage all your multimodal data in one seamless platform for search, analytics, pre-processing, and training.
LanceDB Enterprise is AI-native multimodal lakehouse that handles diverse workloads from search, analytics, processing, to training and serving all your organization's AI data. Built on top of the revolutionary Lance format, purposely designed to handle large scale multimodal data. It provides a single source of truth for all your AI workloads.
Its unique architecture separates compute from storage, making it easier to scale while reducing costs-especially when leveraging object storage solutions like Amazon S3.
Whether you're building enterprise-grade RAG pipelines, creating new features, training multimodal models, or managing large-scale AI datasets, LanceDB Enterprise delivers a unified foundation for modern AI data workflows.
LanceDB Enterprise delivers enterprise-grade security and compliance: Achieve SOC 2 Type II attestation, HIPAA compliance, and GDPR adherence, purpose-built to meet the highest standards for safeguarding your data.
Note: Purchasing LanceDB Enterprise requires an annual commitment. This lets you benefit from volume-based discounts. To get custom pricing, please contact our sales team at contact@lancedb.com before placing an order.
Highlights
AI Lakehouse: Powers end-to-end AI workflows with a rich ecosystem for data generation, analytics, training, and serving. Seamlessly integrates with your existing data lakes and tools. Decoupled storage and compute let you run local experiments using the Lance Python library and scale to production using the same codebase. Proven at billion-scale in production environments.
Multimodal Search Engine: Natively stores diverse multimodal data alongside embeddings and metadata, enabling fast hybrid search (vector + full text + SQL) and advanced metadata filtering across all data types. Offers extensive support for embedding providers and reranking models.
Best Cost/Performance Ratio: Handles thousands of queries per second with double-digit millisecond latency. Supports write throughput of hundreds of thousands of rows per second, and delivers low-latency indexing across numerous tables. Billion-vector scale in production, and easily scale-to-zero when not in use.
Access real-time vendor security and compliance information through their Trust Center powered by Drata or Vanta. Review certifications and security standards before purchase.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This annual contract covers LanceDB Enterprise, a multimodal data platform for AI teams handling curation, feature engineering, search, retrieval, and model training. Pricing works through two dimensions. The LCU dimension measures LanceDB Usage, where each unit equals 1 percent of a standard LanceDB Compute Unit, so your usage scales in small increments. The Commit Amount dimension sets your annual commitment level. Both dimensions are customizable to your requirements. You contact the vendor for a private offer before purchasing, so the final structure reflects your expected usage and commitment.
Top-of-mind questions for buyers
What does one LCU unit represent for billing purposes?
Each LCU unit equals 1 percent of a standard LanceDB Compute Unit. This lets your usage scale in small increments rather than whole units. You are billed based on the compute your workloads consume across curation, feature engineering, search, retrieval, and training.
How do the LCU and Commit Amount dimensions combine on my invoice?
The Commit Amount sets your annual commitment level. The LCU dimension meters actual LanceDB usage in 1 percent increments of a standard compute unit. Your usage draws against the commitment. Both dimensions are customized to your requirements through a private offer before purchase.
What workloads does LanceDB Enterprise usage cover under this contract?
LanceDB Enterprise is a distributed multimodal platform. Usage covers curation, feature engineering, search and retrieval, and high-throughput training data access on one table. It supports vector, full-text, and hybrid search, plus data versioning across images, video, audio, text, and embeddings.
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This is a fully managed service with technical support included. Please contact support@lancedb.com to request detailed information regarding support SLA, and the setup of support channels (Slack, email, and phone). support@lancedb.com
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This product has charges associated with it for hardening, security configuration, and support.
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MIT license - fully auditable, no vendor lock-in.
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