Deep Lake
Serverless multimodal data platform designed for AI and LLM applications, offering unified storage, search, and management of diverse data types including embed
- Vendor
- Activeloop
- Also known as
- deep-lake
Available worldwide
What is Deep Lake?
A cloud-based data management system for storing and organizing multimodal data (embeddings, images, videos, audio, text, PDFs, and other formats) with integrated vector search and querying capabilities, enabling scalable machine learning model training and deployment.
Deep Lake pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
From $99/seat/month (Team) or pay-as-you-go Basic with $15 credit. 7-day free trial available.
Basic
FreeTesting & starter projects with pay-as-you-go pricing
- storage
- 500 GB
- compute_credit
- $15
- Pay as you go compute
- Daily backups with 1-day retention
- SSO (Google/Microsoft)
- MFA
- 1 business day support
Team
Per-seat collaboration for teams
- storage
- 500 GB
- traces_per_month_per_seat
- 1M
- queries_per_month_per_seat
- 10M
- 1M traces/month per seat
- 10M queries/month per seat
- Daily backups with 1-day retention
- SSO (Google/Microsoft)
- MFA
- 1 business day support
- 7-day free trial
Enterprise
Contact salesAdd-ons
- Data Transfer (Egress)$0.09 per GB
What Deep Lake does
The capabilities that matter for vector databases, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Deployment
- Managed
- Serverless / consumption pricing
- ✓
- ANN index (HNSW / IVF / DiskANN / ScaNN / flat)
- -
- Distance metrics (cosine / dot / Euclidean)
- -
- Metadata filtering
- -
- Hybrid search (dense + sparse fusion)
- ✓
- Built-in BM25 / lexical
- ✓
- Quantization
- -
- On-disk vs in-memory
- Tiered
- Multi-tenancy (namespaces / collections / tenants)
- -
- Horizontal scale
- -
- Consistency
- -
- Licence class
- Source-available
- Purpose-built vs feature-of-parent
- Dedicated DBMS
Platform & deployment
Independently observed- Web
- Cloud / SaaS
- Hybrid
- Self-hosted
Integrations (3)
Independently observed- LangChain•
- LlamaIndex•
- Weights & Biases•
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Deep Lake FAQ
Common questions about Deep Lake, answered from independent, dated evidence.
What is Deep Lake?
Deep Lake is a data engine optimized for AI that combines vector and tensor storage with GPU acceleration, offering versioned data, full-text search, and serverless query capabilities for machine learning and AI agent applications. It is indexed under Vector Databases.
Source: https://www.activeloop.ai
Is Deep Lake free to use?
Deep Lake is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. A commercial or hosted edition starts at $99 per user per month. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.
Source: https://www.activeloop.ai
What platforms does Deep Lake support?
We have confirmed browser-based access to Deep Lake. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.
Source: https://www.activeloop.ai
Can Deep Lake be self-hosted?
We have only confirmed a cloud / SaaS deployment for Deep Lake, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.
Source: https://www.activeloop.ai
What security certifications does Deep Lake have?
We have independently confirmed GDPR for Deep Lake. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Deep Lake not holding them. Always confirm compliance directly before you rely on it.
Is Deep Lake open source?
Yes. Deep Lake is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Deep Lake alternatives
Other vector databases we track, ranked by the same independent score.
- Zilliz CloudA fully managed cloud service for storing, indexing, and searching high-dimensional vector data at scalemedium · 74%
- PineconeManaged vector database infrastructure for machine learning applicationshigh · 75%
- TurbopufferA database combining vector similarity and text search built on cloud storagemedium · 61%
- EpsillaCreate AI agents without needing engineering resourceslow · 30%
- Chromamedium · 70%
- WeaviateA vector database platform designed for building AI-powered semantic search applicationshigh · 75%
Compare Deep Lake
Side by side against other vector databases, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Deep Lake, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Release cadence | 94 | 0.08 | 7.6 | ✓ |
| Capabilities | 58 | 0.10 | 5.7 | ✓ |
| Pricing transparency | 100 | 0.05 | 5.4 | ✓ |
| Stars | 75 | 0.05 | 3.5 | ✓ |
| Reliability | 50 | 0.07 | 3.4 | ✓ |
| Price level | 80 | 0.04 | 3.3 | ✓ |
| Dependent projects | 52 | 0.05 | 2.8 | ✓ |
| Package downloads | 55 | 0.04 | 2.2 | ✓ |
| Integrations | 17 | 0.05 | 0.9 | ✓ |
| Development activity | 0 | 0.14 | 0.0 | - |
| Security posture | 5 | 0.12 | 0.0 | - |
| Security score | 0 | 0.05 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 6 items | mediumsource · 2026-09-10 · 68% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Deployment: managed · Serverless: Yes · Storage tier: tiered · Hybrid search: Yes · Licence class: source_available · Product class: dedicated_dbms | mediumsource · 2026-09-14 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 3 | mediumsource · 2026-09-14 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | C++ | mediumsource · 2026-09-10 · 63% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-09-10 · 95% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-14 · 75% |
Pricing
Release
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-08-05 · 60% |
Security
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