# dlt

> Build with dlt. Ship with dltHub.

- **Canonical URI:** https://www.vioscale.ai/software/dlt
- **Category:** Data Engineering Tools
- **Homepage:** https://dlthub.com
- **Also known as:** dlt
- **Profile claimed by vendor:** no
- **Last updated:** 2026-08-03T14:31:27.879Z

## Vioscale score

**57.1 / 100**, confidence 48% (low).

Composite of weighted, independently-sourced signals (no user reviews, no vendor payment).

| Signal | Score | Weight | Contribution | Evidence present |
|---|--:|--:|--:|:--:|
| price_level | 25 | 10 | 250 | ✓ |
| reliability | 50 | 14 | 700 | ✓ |
| capabilities | 81.2 | 16 | 1298.4 | ✓ |
| integrations | 35.4 | 30 | 1061.6 | ✓ |
| security_posture | 5 | 14 | 0 | - |
| pricing_transparency | 100 | 16 | 1600 | ✓ |

## Pricing

_As of 2026-08-03, [verify at source](https://dlthub.com). Independently observed._

from $1190/mo · Hybrid · Free tier · 14-day trial

> Free open-source tier. dltHub from $1,190/month. 14-day free trial included. Usage-based overage billing beyond 500 included credits per month with progressive volume discounts.

| Plan | Price | Free | Commitment |
|---|---|:--:|---|
| dlt | Free | ✓ | - |
| dltHub | $1,190/month (monthly) or $11,900/year (17% discount). 14-day free trial with $30 credits, no card required. 500 credits/month included; additional usage $1.00/credit with tiered discounts down to $0. | - | monthly |
| Enterprise | Contact sales | - | annual |

### dlt

Open-source Apache 2.0 licensed Python library for data pipelines

- Open source Apache 2.0 licensed
- Code-first ingestion library
- Reliable ingestion and loading
- Limited verified OSS connectors
- AI help and community support
- Schema inference and incremental loading
- Normalization included
- Portable workflows across self-managed and managed runtime

### dltHub

Managed runtime, observability, data quality, and collaboration for production teams

**Included limits:** credits: 500/month

- Managed runtime
- Hosted Marimo notebooks
- AI Workbench (Claude Code, Codex, Cursor)
- Data quality metrics & checks
- Observability dashboard
- Collaboration workflows for teams
- Eligible for volume discounts
- Source-available: AI workbench, MSSQL Change Tracking, Iceberg, transformations

### Enterprise (Contact sales)

Custom pricing and governance for security-focused organizations

- Custom credits and volume pricing
- Enterprise security and governance controls
- Role-based access control (RBAC)
- Audit logs
- SLA and tailored support options
- Custom onboarding and architecture guidance

## About

dlt is an open-source Python library for data pipelines that handles schema inference, incremental loading, and normalization. dltHub is an AI-native managed platform that deploys, monitors, and scales dlt pipelines with observability, data quality, and collaboration features.

_Independently observed._

## Platform & deployment

- **Platforms:** CLI, Web
- **Deployment:** Cloud / SaaS, On-premise, Self-hosted

## Integrations (16)

_Independently observed._

- Salesforce
- Postgres
- HubSpot
- REST APIs (5000+)
- SQL databases
- S3
- GCS
- Azure
- SFTP
- Snowflake
- Databricks
- BigQuery
- MotherDuck
- Claude
- Codex
- Cursor

## Capabilities

_The capabilities that matter for Data Engineering Tools. "-" = undocumented, not absent._

| Capability | Supported |
|---|:--:|
| **Core** | |
| Tool role | ELT / ingestion |
| Processing paradigm | Batch + streaming |
| **Connectivity** | |
| Connector count | 5000+ |
| CDC / log-based replication | - |
| **Transformation** | |
| In-warehouse transformation (push-down) | - |
| dbt-native orchestration | - |
| **Deployment** | |
| Self-hosted / open-source available | ✓ |
| Managed cloud available | ✓ |
| **Governance** | |
| Data lineage / asset catalog | ✓ |
| **Authoring** | |
| Python-first authoring | ✓ |
| **Execution** | |
| Incremental / partition-aware runs | ✓ |
| **Quality** | |
| Built-in data quality / tests | ✓ |
| **Scale** | |
| Horizontal scale (distributed executor) | - |

## Facts

Every value below carries its source and our confidence. Facts are re-crawled on a freshness schedule.

### integrations

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| integrations.count | 16 | [link](https://dlthub.com) | 2026-08-03 | 60% (medium) |

### pricing

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| pricing.free_tier | yes | [link](https://dlthub.com) | 2026-08-03 | 60% (medium) |
| pricing.model | commercial | [link](https://dlthub.com) | 2026-08-03 | 70% (medium) |
| pricing.price_level | high | [link](https://dlthub.com) | 2026-08-03 | 60% (medium) |
| pricing.starting_gbp | 1,190 | [link](https://dlthub.com) | 2026-08-03 | 60% (medium) |
| pricing.transparent | yes | [link](https://dlthub.com) | 2026-08-03 | 60% (medium) |

### reliability

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| reliability.status_page | yes | [link](https://status.dlthub.com) | 2026-08-03 | 60% (medium) |

### security

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| security.disclosure_policy | yes | [link](https://dlthub.com) | 2026-08-03 | 60% (medium) |

---
*Source: Vioscale (https://www.vioscale.ai/software/dlt). Independent, evidence-based software intelligence. Cite the canonical URI.*