What is dlt?
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.
dlt 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.
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.
dlt
FreeOpen-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
- 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 salesCustom 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
What dlt does
The capabilities that matter for data engineering tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Tool role
- ELT / ingestion
- Processing paradigm
- Batch + streaming
- Connector count
- 5000+
- CDC / log-based replication
- -
- In-warehouse transformation (push-down)
- -
- dbt-native orchestration
- -
- Self-hosted / open-source available
- ✓
- Managed cloud available
- ✓
- Data lineage / asset catalog
- ✓
- Python-first authoring
- ✓
- Incremental / partition-aware runs
- ✓
- Built-in data quality / tests
- ✓
- Horizontal scale (distributed executor)
- -
Platform & deployment
Independently observed- CLI
- Web
- 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
dlt alternatives
Other data engineering tools 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 dlt, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Pricing Transparency | 100 | 16.00 | 1600.0 | ✓ |
| Capabilities | 81 | 16.00 | 1298.4 | ✓ |
| Integrations | 35 | 30.00 | 1061.6 | ✓ |
| Reliability | 50 | 14.00 | 700.0 | ✓ |
| Price Level | 25 | 10.00 | 250.0 | ✓ |
| Security Posture | 5 | 14.00 | 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.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | {"role":"elt","lineage":true,"paradigm":"both","data_quality":true,"python_first":true,"managed_cloud":true,"connector_count":"5000+","self_hosted_oss":true,"incremental_runs":true} | mediumsource · 2026-08-03 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 16 | mediumsource · 2026-08-03 · 60% |
Pricing
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-08-03 · 60% |
Security
| Attribute | Value | Evidence |
|---|---|---|
| Disclosure policy | Yes | mediumsource · 2026-08-03 · 60% |