Available worldwide · Popular in: US
What is Deep Lake?
GPU-native vector and tensor database engine designed to keep AI agents grounded, versioned, and queryable with serverless compute.
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
- Disk-backed
- Multi-tenancy (namespaces / collections / tenants)
- ✓
- Horizontal scale
- -
- Consistency
- -
- Licence class
- Proprietary
- Purpose-built vs feature-of-parent
- Dedicated DBMS
Platform & deployment
Independently observed- Web
- Cloud / SaaS
Deep Lake alternatives
Other vector databases we track, ranked by the same independent score.
The Vioscale 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 | 0.09 | 8.5 | ✓ |
| Pricing Transparency | 100 | 0.06 | 6.1 | ✓ |
| Capabilities | 46 | 0.13 | 5.9 | ✓ |
| Github Stars | 75 | 0.05 | 4.0 | ✓ |
| Reliability | 50 | 0.08 | 3.8 | ✓ |
| Package Downloads | 58 | 0.04 | 2.6 | ✓ |
| Price Level | 25 | 0.04 | 1.1 | ✓ |
| Integrations | 0 | 0.06 | 0.0 | - |
| Github Activity | 0 | 0.15 | 0.0 | - |
| Security Posture | 5 | 0.14 | 0.0 | - |
| Stackoverflow Activity | 0 | 0.15 | 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
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | {"deployment":"managed","serverless":true,"storage_tier":"disk_backed","licence_class":"proprietary","multi_tenancy":true,"product_class":"dedicated_dbms"} | mediumsource · 2026-08-05 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | C++ | mediumsource · 2026-07-31 · 63% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-07-31 · 95% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | {"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]} | mediumsource · 2026-08-05 · 50% |
Pricing
Release
| Attribute | Value | Evidence |
|---|---|---|
| Cadence days | 11 | mediumsource · 2026-07-31 · 70% |
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-08-05 · 60% |
Security
| Attribute | Value | Evidence |
|---|---|---|
| Gdpr | Yes | highsource · 2026-08-05 · 75% |