# Deep Lake vs txtai

| Attribute | Deep Lake | txtai |
|---|---|---|
| **Vioscale score** | 59.6 (37% (low)) | 60.4 (56% (medium)) |
| activity.commits_last_30d | - | 70 |
| adoption.dependent_repos | 1,384 | 14 |
| adoption.github_stars | 9,228 | 12,909 |
| adoption.package_downloads_weekly | 28,208 | - |
| deployment.options | `{"cloud":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | 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. | txtai is an open-source Python framework for building semantic search applications, LLM-powered agents, retrieval augmented generation systems, and language model workflows with support for multiple vector backends and integration with various LLMs. |
| features.capabilities | `{"deployment":"managed","serverless":true,"hybrid_search":true,"licence_class":"source_available","product_class":"dedicated_dbms","full_text_bm25":true}` | `{"ann_index":"HNSW, IVF, IVFSparse, milvus-lite, turbovec, zvec","deployment":"embedded","consistency":"tunable","open_source":true,"quantization":"scalar","storage_tier":"disk_backed","hybrid_search":true,"licence_class":"permissive_oss","multi_tenancy":true,"product_class":"dedicated_dbms","full_text_bm25":true,"multimodal_rag":true,"distance_metrics":"cosine","horizontal_scale":"sharded_distributed","hybrid_retrieval":true,"metadata_filtering":"pre_filter","citation_attribution":true,"llm_provider_agnostic":true,"managed_ingestion_pipeline":true,"embedding_provider_agnostic":true,"multi_hop_agentic_retrieval":true}` |
| integrations.count | - | 10 |
| integrations.list | - | `[{"name":"llama.cpp"},{"name":"LiteLLM"},{"name":"Hugging Face"},{"name":"OpenAI"},{"name":"Claude"},{"name":"AWS Bedrock"},{"name":"smolagents"},{"name":"OpenCode"},{"name":"DuckDB"},{"name":"Milvus"},{"name":"LiteRT"}]` |
| language.primary | C++ | Python |
| license.spdx | Apache-2.0 | Apache-2.0 |
| market.availability | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"web":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":true,"name":"Basic","summary":"Free $15 credit, then $0.15/compute-unit/hr + $23/TB/mo storage","features":["Pay as you go compute","Daily backups with 1-day retention","SSO (Google/Microsoft)","MFA","1 business day support"],"components":[{"kind":"one_time","amount":15,"currency":"USD"},{"per":{"qty":1,"unit":"compute-unit-hour"},"kind":"metered","amount":0.15,"currency":"USD"},{"per":{"qty":1,"unit":"TB/month"},"kind":"metered","amount":23,"currency":"USD"}],"description":"Testing & starter projects with pay-as-you-go pricing","contactSales":false,"includedLimits":{"storage":"500 GB","compute_credit":"$15"}},{"free":false,"name":"Team","summary":"$99/seat/month, 7-day free trial","features":["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"],"commitment":"monthly","components":[{"kind":"per_unit","unit":"seat","amount":99,"period":"month","currency":"USD"}],"description":"Per-seat collaboration for teams","contactSales":false,"includedLimits":{"storage":"500 GB","traces_per_month_per_seat":"1M","queries_per_month_per_seat":"10M"}},{"free":false,"name":"Enterprise","summary":"Custom pricing","contactSales":true}],"addOns":[{"name":"Data Transfer (Egress)","components":[{"per":{"qty":1,"unit":"GB"},"kind":"metered","amount":0.09,"currency":"USD"}]}],"summary":"From $99/seat/month (Team) or pay-as-you-go Basic with $15 credit. 7-day free trial available.","currency":"USD","freeTier":true,"sourceUrl":"https://www.activeloop.ai","retrievedAt":"2026-08-05T13:08:11.282Z","freeTrialDays":7,"startingPrice":{"amount":99,"period":"month","currency":"USD"},"billingPeriods":["month"]}` | `{"type":"open_source","freeTier":true,"sourceUrl":"https://neuml.github.io/txtai","retrievedAt":"2026-08-21T12:43:59.946Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | commercial | open_source |
| pricing.price_level | high | free |
| pricing.transparent | yes | yes |
| release.cadence_days | 11 | 26 |
| release.history | `[{"url":"https://github.com/activeloopai/deeplake/releases/tag/v4.5.2","date":"2026-02-11T02:06:12Z","type":"stable","version":"v4.5.2"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v4.5.1","date":"2026-02-07T05:15:26Z","type":"stable","version":"v4.5.1"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v4.5.0","date":"2026-01-22T17:07:43Z","type":"stable","version":"v4.5.0"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v4.4.5","date":"2026-01-13T18:47:57Z","type":"stable","version":"v4.4.5"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v4.4.4","date":"2025-12-14T07:20:07Z","type":"stable","version":"v4.4.4"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v4.4.3","date":"2025-12-03T02:02:54Z","type":"stable","version":"v4.4.3"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v4.4.1","date":"2025-11-21T10:52:52Z","type":"stable","version":"v4.4.1"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v4.3.3","date":"2025-09-29T07:14:30Z","type":"stable","version":"v4.3.3"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v3.9.52","date":"2025-09-05T13:50:53Z","type":"stable","version":"v3.9.52"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v4.4.0","date":"2025-10-24T19:03:18Z","type":"stable","version":"v4.4.0"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v4.3.5","date":"2025-10-10T17:50:47Z","type":"stable","version":"v4.3.5"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v4.3.4","date":"2025-10-10T15:16:47Z","type":"stable","version":"v4.3.4"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v4.3.0","date":"2025-08-29T08:50:37Z","type":"stable","version":"v4.3.0"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v3.9.51","date":"2025-08-07T07:23:51Z","type":"stable","version":"v3.9.51"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v3.9.50","date":"2025-08-01T11:57:05Z","type":"stable","version":"v3.9.50"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v3.9.46","date":"2025-07-09T14:33:09Z","type":"stable","version":"v3.9.46"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v4.2.14","date":"2025-07-08T23:03:45Z","type":"stable","version":"v4.2.14"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v4.2.12","date":"2025-07-02T11:03:04Z","type":"stable","version":"v4.2.12"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v4.2.8","date":"2025-06-10T14:39:31Z","type":"stable","version":"v4.2.8"},{"url":"https://github.com/activeloopai/deeplake/releases/tag/v3.9.45","date":"2025-06-10T10:56:59Z","type":"stable","version":"v3.9.45"}]` | `[{"url":"https://github.com/neuml/txtai/releases/tag/v9.12.0","date":"2026-07-30T19:43:23Z","type":"stable","version":"v9.12.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.11.0","date":"2026-07-01T15:07:00Z","type":"stable","version":"v9.11.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.10.0","date":"2026-06-04T10:22:48Z","type":"stable","version":"v9.10.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.9.0","date":"2026-05-12T15:21:53Z","type":"stable","version":"v9.9.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.8.0","date":"2026-04-29T15:29:38Z","type":"stable","version":"v9.8.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.7.0","date":"2026-03-20T17:10:04Z","type":"stable","version":"v9.7.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.6.0","date":"2026-02-25T17:56:31Z","type":"stable","version":"v9.6.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.5.0","date":"2026-02-12T16:44:38Z","type":"stable","version":"v9.5.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.4.1","date":"2026-01-23T17:03:50Z","type":"stable","version":"v9.4.1"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.4.0","date":"2026-01-21T15:30:33Z","type":"stable","version":"v9.4.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.3.0","date":"2025-12-22T23:35:33Z","type":"stable","version":"v9.3.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.2.0","date":"2025-11-21T15:09:50Z","type":"stable","version":"v9.2.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.1.0","date":"2025-11-04T13:23:09Z","type":"stable","version":"v9.1.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.0.1","date":"2025-09-15T13:25:58Z","type":"stable","version":"v9.0.1"},{"url":"https://github.com/neuml/txtai/releases/tag/v9.0.0","date":"2025-08-28T19:17:55Z","type":"stable","version":"v9.0.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v8.6.0","date":"2025-06-10T14:25:49Z","type":"stable","version":"v8.6.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v8.5.0","date":"2025-04-14T20:09:38Z","type":"stable","version":"v8.5.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v8.4.0","date":"2025-03-11T14:24:16Z","type":"stable","version":"v8.4.0"},{"url":"https://github.com/neuml/txtai/releases/tag/v8.3.1","date":"2025-02-12T16:51:27Z","type":"stable","version":"v8.3.1"},{"url":"https://github.com/neuml/txtai/releases/tag/v8.3.0","date":"2025-02-11T18:56:25Z","type":"stable","version":"v8.3.0"}]` |
| reliability.status_page | yes | yes |
| security.gdpr | yes | - |
| security.scorecard | - | 4.9 |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=deeplake&per_page=100","last_12m":0,"max_severity":null}` | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=txtai&per_page=100","last_12m":0,"max_severity":null}` |

## Capabilities (Vector Databases)

| Capability | Deep Lake | txtai |
|---|:--:|:--:|
| **Deployment** |  |  |
| Deployment | Managed | Embedded |
| Serverless / consumption pricing | ✓ | - |
| **Index** |  |  |
| ANN index (HNSW / IVF / DiskANN / ScaNN / flat) | - | HNSW, IVF, IVFSparse, milvus-lite, turbovec, zvec |
| Distance metrics (cosine / dot / Euclidean) | - | cosine |
| **Query** |  |  |
| Metadata filtering | - | Pre-filter |
| Hybrid search (dense + sparse fusion) | ✓ | ✓ |
| Built-in BM25 / lexical | ✓ | ✓ |
| **Storage** |  |  |
| Quantization | - | Scalar |
| On-disk vs in-memory | - | Disk-backed |
| **Scale** |  |  |
| Multi-tenancy (namespaces / collections / tenants) | - | ✓ |
| Horizontal scale | - | Sharded / distributed |
| **Consistency** |  |  |
| Consistency | - | Tunable |
| **Licensing** |  |  |
| Licence class | Source-available | Permissive OSS |
| **Classification** |  |  |
| Purpose-built vs feature-of-parent | Dedicated DBMS | Dedicated DBMS |

*Source: Vioscale. Generated 2026-09-01T17:45:10.712Z. "-" = undocumented, not absent.*