dlt

Vendor
ScaleVector GmbH (doing business as dltHub Inc.)
Also known as
dlt

Available worldwide · Popular in: US

What is dlt?

A managed platform that enables teams to build, deploy, and monitor data pipelines with AI assistance, built on the open-source dlt library. It provides runtime management, observability, data quality monitoring, and team collaboration features for moving data from any source to any destination.

Independently observed

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.

Pricing as of verify at live pricing ↗Independently observed
from $12000/moHybridFree tier14-day trial

Free open-source tier. Hub plan from $12,000/month with 5,000 included credits. Tiered overage pricing. 14-day free trial.

dlt

Free
Free

Open-source Apache 2.0 licensed data loading library

  • Open source ingestion library
  • Reliable ingestion and loading
  • Limited verified OSS connectors
  • AI help and community support

Hub

$12,000/month with 5,000 credits included. Tiered overage pricing: $1.00–$0.80 per credit depending on volume.
annual

Managed platform with observability and team collaboration

credits_per_month
5000
  • Everything in dlt
  • AI Harness (Claude Code, Codex, Cursor)
  • Managed runtime for ingestion
  • Transformations & Data apps
  • Data quality metrics & checks
  • Observability dashboard
  • Collaboration workflows for teams
  • Unlimited pipelines and notebooks
  • Data freshness triggers
  • Automatic backfilling
  • dbt model generator
  • Data apps (marimo and Streamlit)
  • Declarative quality checks per dataset, table or row
  • Schema and data contracts
  • PII redaction before load
  • Runs, schemas and lineage in dashboard
  • Stream logs from CLI or web UI
  • Slack alerting
  • Organisation and workspace roles
  • Secrets management
  • Environment variable manager
  • Regional data plane selection
  • Role-based access control (RBAC)

Enterprise

Contact sales
Contact sales

Custom pricing with enterprise governance and support

  • 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

  • Credit bundles$100 one-time + $190 one-time + $360 one-time + $700 one-time + $1360 one-time + $2640 one-time + $5120 one-time + $9920 one-time

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.

Core
Tool role
ELT / ingestion
Processing paradigm
Batch + streaming
Connectivity
Connector count
5,000+
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)
-
Independently observed

Platform & deployment

Independently observed
Platforms
  • CLI
  • Web
Deployment
  • Cloud / SaaS
  • Hybrid
  • Self-hosted

Integrations (46)

Independently observed
database
  • Postgres→•
  • Microsoft SQL Server⇄•
  • ClickHouse→•
data_warehouse
  • Redshift→•
  • Amazon Athena⇄•
query_engine
  • Athena→•
cloud_storage
  • Azure Storage→•
data_format
  • Delta Lake→•
agentic_development
  • Claude Code⇄•
  • Codex⇄•
ide
  • Cursor→•
communication
  • Slack→•
version_control
  • GitHub⇄•
vector_database
  • LanceDB→
metadata_platform
  • DataHub→
orchestration
  • Airflow⇄•
ai_assistant
  • Claude⇄•
app_framework
  • Streamlit→•
  • 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.

Source: https://dlthub.com/privacy-policy

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.

All dlt alternatives, ranked →

Compare dlt

Side by side against other data engineering tools, attribute by attribute, with a source on every value.

Independent · unbought · dated

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.

Balanced composite 65 / 100
low · 46%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Integrations1000.099.4✓
Capabilities1000.088.4✓
Pricing transparency1000.088.4✓
Release cadence930.054.9✓
Development activity490.094.6✓
Reliability500.073.7✓
Stars710.031.9✓
Dependent projects230.061.4✓
Price level250.051.3✓
Security posture100.070.0-
Package downloads00.140.0-
Security score00.040.0-
Developer Q&A activity00.060.0-

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

AttributeValueEvidence
Commits last 30d36mediumsource · 2026-10-15 · 65%

Adoption

AttributeValueEvidence
Github stars5,969highsource · 2026-10-15 · 90%
Dependent repos23highsource · 2026-10-15 · 85%

Content

AttributeValueEvidence
Faq8 itemsmediumsource · 2026-09-10 · 68%

Features

AttributeValueEvidence
CapabilitiesCdc: Yes · Role: elt · Lineage: Yes · Paradigm: both · Dbt native: Yes · Data quality: Yesmediumsource · 2026-10-15 · 60%

Integrations

AttributeValueEvidence
Count5,000mediumsource · 2026-09-14 · 60%

Language

AttributeValueEvidence
PrimaryPythonhighsource · 2026-10-15 · 90%

License

AttributeValueEvidence
SpdxApache-2.0highsource · 2026-10-15 · 95%

Market

AttributeValueEvidence
AvailabilityPrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: …highsource · 2026-10-15 · 75%

Pricing

AttributeValueEvidence
Free tierYesmediumsource · 2026-10-15 · 60%
Price levelhighmediumsource · 2026-10-15 · 60%
TransparentYesmediumsource · 2026-10-15 · 60%
Modelfreemiummediumsource · 2026-10-15 · 60%
Starting priceAmount: 12,000 · Currency: USDmediumsource · 2026-10-15 · 60%

Release

AttributeValueEvidence
Cadence days12mediumsource · 2026-10-15 · 70%
History20 itemsmediumsource · 2026-10-15 · 70%

Reliability

AttributeValueEvidence
Status pageYesmediumsource · 2026-08-03 · 60%

Security

AttributeValueEvidence
Disclosure policyYesmediumsource · 2026-08-03 · 60%
GdprYeshighsource · 2026-08-13 · 75%
VulnerabilitiesCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=dlt&per_page=100 · Last 12m: 0highsource · 2026-10-15 · 90%
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Last updated . Canonical URI: https://www.vioscale.ai/software/dlt.