dlt
An AI-native data platform that automates data pipelines with built-in observability and governance, powered by Python code.
- Vendor
- ScaleVector GmbH (doing business as dltHub Inc.)
- Also known as
- dlt
Available worldwide · Popular in: US
What is dlt?
A managed data engineering platform combining an open-source Python library with a cloud runtime for building, deploying, and operating data pipelines. It integrates with AI coding assistants to help teams automate data ingestion and transformations at scale without requiring dedicated infrastructure expertise.
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 library. Hub: $11,900/month with 5,000 credits included, pay-as-you-go overages. 14-day free trial, no card required.
dlt
FreeOpen-source Apache 2.0 Python library for data pipelines
- Open source, code-first ingestion library
- Reliable ingestion and loading
- Limited verified OSS connectors
- AI help and community support
- Apache 2.0 licensed for commercial use
Hub
Managed runtime, observability, data quality checks, and team collaboration
- credits
- 5000/month
- Managed runtime for ingestion
- AI harness (Claude Code, Codex, Cursor)
- Transformations and data apps
- Data quality metrics and checks
- Observability dashboard
- Role-based access control (RBAC)
- Audit logs
- Collaboration workflows
- Source-available: AI workbench, CDC, Iceberg support, in-pipeline transformations
- Migration support included
Enterprise
Contact salesCustom pricing, governance, and support for security-focused organizations
- Custom credits and volume pricing
- Enterprise security and governance controls
- Role-based access control (RBAC) and audit logs
- SLA and tailored support options
- Custom onboarding and architecture guidance
Add-ons
- Additional credits (mid-cycle top-ups)
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
- 5,000+
- 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
- Hybrid
- Self-hosted
Integrations (42)
Independently observed- Postgres→•
- Microsoft SQL Server⇄•
- Redshift→•
- Amazon Athena⇄•
- Athena→•
- Azure Storage→•
- Delta Lake→•
- Claude Code⇄•
- Codex⇄•
- Cursor→•
- Slack→•
- GitHub⇄•
- LanceDB→
- DataHub→
- Salesforce
- PostgreSQL
- HubSpot
- Snowflake
- Databricks
- BigQuery
- MotherDuck
- DuckDB
- SQLite
- MySQL
- Amazon S3
- Google Cloud Storage
- Microsoft Azure
- SFTP
- Parquet
- Apache Delta
- Apache Iceberg
- DuckLake
- Pydantic Logfire
- Arize
- Langfuse
- LangChain
- OpenAI
- Apache Airflow
- Dagster
- AWS Lambda
- Marimo
- Hugging Face
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
dlt FAQ
Common questions about dlt, answered from independent, dated evidence.
What is dlt?
A hosted service combining the open-source dlt Python library with managed infrastructure, observability, data quality testing, and team collaboration features for building and running data pipelines. It is indexed under Data Engineering Tools.
Source: https://dlthub.com/pricing
Is dlt free to use?
dlt 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 $0.80. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.
Source: https://dlthub.com/pricing
What platforms does dlt support?
dlt supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://dlthub.com/pricing
Can dlt be self-hosted?
Yes. dlt can be deployed cloud / SaaS, hybrid and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://dlthub.com/pricing
What does dlt integrate with?
We have confirmed 28 integrations for dlt, including Salesforce, PostgreSQL, HubSpot, Snowflake, Databricks, BigQuery, MotherDuck and DuckDB, plus 20 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://dlthub.com/pricing
What security certifications does dlt have?
We have independently confirmed GDPR for dlt. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as dlt not holding them. Always confirm compliance directly before you rely on it.
Is dlt open source?
Yes. dlt 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.
Source: https://github.com/dlt-hub/dlt
Where is dlt available?
dlt is available worldwide. The vendor is headquartered in Germany.
Source: https://dlthub.com/pricing
dlt alternatives
Other data engineering tools we track, ranked by the same independent score.
- CensusAutomated data integration platform that moves and transforms data from diverse sources into analytics and AI-ready destinationsmedium · 74%
- Estuary FlowA managed platform for moving data between systems with support for real-time streaming, batch processing, and in-flight transformation.medium · 72%
- HightouchActivate your data warehouse to keep business tools updated with current customer informationmedium · 71%
- Apache AirflowOpen-source workflow orchestration engine for scheduling and monitoring data pipelines as codemedium · 67%
- Prefecthigh · 77%
- Stitchmedium · 70%
Compare dlt
Side by side against other data engineering tools, 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 dlt, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Integrations | 100 | 0.09 | 9.4 | ✓ |
| Capabilities | 100 | 0.08 | 8.4 | ✓ |
| Pricing transparency | 100 | 0.08 | 8.4 | ✓ |
| Development activity | 52 | 0.09 | 4.9 | ✓ |
| Release cadence | 93 | 0.05 | 4.9 | ✓ |
| Reliability | 50 | 0.07 | 3.7 | ✓ |
| Stars | 71 | 0.03 | 1.8 | ✓ |
| Dependent projects | 23 | 0.06 | 1.4 | ✓ |
| Price level | 25 | 0.05 | 1.3 | ✓ |
| Security posture | 10 | 0.07 | 0.0 | - |
| Package downloads | 0 | 0.14 | 0.0 | - |
| Security score | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 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.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 45 | mediumsource · 2026-09-11 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 8 items | mediumsource · 2026-09-10 · 68% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Cdc: Yes · Role: elt · Lineage: Yes · Paradigm: both · Data quality: Yes · Elt pushdown: Yes | mediumsource · 2026-09-14 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 5,000 | mediumsource · 2026-09-14 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-09-11 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-09-11 · 95% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-09-14 · 75% |
Pricing
Release
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-08-03 · 60% |
Security
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