dlt (data load tool) pricing guide details
Pricing Overview
dlt separates its open-source ingestion library from its managed platform. The core dlt library is free and Apache 2.0 licensed, including for commercial use. It is a code-first ingestion library for teams that want full infrastructure ownership, with reliable ingestion and loading, limited verified OSS connectors, and AI help and community support.
dltHub adds managed runtime, observability, data quality, and collaboration for production operations. Its published pricing starts at $12,000 per month and includes 5,000 credits per month. The plan carries a 12-month minimum billed monthly. A dltHub signup includes a 14-day free trial with $30 in credits and no card required.
dltHub includes managed runtime, hosted Marimo notebooks, AI Workbench, data quality metrics and checks, an observability dashboard, and collaboration workflows. Additional usage beyond included credits is billed in volume tiers, so buyers should confirm their expected usage and applicable volume pricing. Enterprise has custom pricing, custom credits and volume pricing, governance and security controls, RBAC and audit logs, SLA and tailored support options, and custom onboarding and architecture guidance. The supplied evidence does not list a public Enterprise price.
Plan Comparison
| Feature | dlt | dltHub | Enterprise |
|---|---|---|---|
| Price | Free | From $12,000 / month | Custom |
| Commitment | None | 12-month minimum, billed monthly | Custom contract terms |
| Included Credits/Month | N/A | 500 | Custom |
| Managed Runtime | Self-managed | Yes | Yes |
| Observability | No | Yes | Yes |
| Data Quality Metrics & Checks | No | Yes | Yes |
| Collaboration Workflows | No | Yes | Yes |
| RBAC and Audit Logs | No | Not included | Yes |
| Free Trial | N/A | 14-day free trial including $30 free usage; no card required | N/A |
The free dlt library is Apache 2.0 licensed, including for commercial use, and is intended for teams that want full infrastructure ownership. It provides code-first ingestion, reliable loading, limited verified OSS connectors, and AI help and community support.
dltHub is the managed option for production data teams. Its published price is $12,000 per month, including 5,000 credits per month, on a 12-month minimum billed monthly. The plan adds managed runtime, hosted Marimo notebooks, AI Workbench, data quality metrics and checks, an observability dashboard, and collaboration workflows. Buyers should confirm their required credit volume and any applicable volume discount.
Enterprise has custom pricing, custom credits and volume pricing, security and governance controls, RBAC and audit logs, SLA and tailored support options, plus custom onboarding and architecture guidance. The supplied pricing evidence does not state a public Enterprise price.
Hidden Costs and Considerations
The free OSS tier requires teams to manage their own infrastructure, scheduling, and monitoring, which translates to real engineering hours that should be factored into any total cost of ownership calculation. Credit-based pricing on Pro and Scale plans means heavy pipeline workloads could push teams into overage territory or force an upgrade sooner than planned. An annual commitment adds a further 5% off the per-credit overage rates, on top of the standard 12-month minimum. Teams should also consider that dltHub is still building out its managed platform, with the individual developer release coming in 2026, so feature availability may evolve as the product matures.
Cost Estimates by Team Size
The supplied pricing evidence does not define plans or prices by team size, so it cannot support team-size cost estimates or per-developer totals. Instead, use the published plan information below as a starting point and confirm the credits and usage requirements for your workload.
| Option | Published price or term | Included or disclosed details | What to confirm |
|---|---|---|---|
| dlt OSS | Free | Apache 2.0-licensed open-source ingestion library | Whether self-managed operation fits your infrastructure needs |
| dltHub | $12,000 / month on a 12-month minimum | 5,000 credits per month included; managed runtime, observability, data quality, and collaboration features | Expected credit consumption, additional usage charges, and the applicable monthly or annual commitment |
| Enterprise | Custom | Custom credits and volume pricing, with security, governance, and support options | The quoted price, credit allocation, volume terms, and support scope |
For evaluation, dltHub offers a 14-day free trial with $30 in credits and no card required. An annual commitment adds a further 5% off the per-credit overage rates; confirm the commitment terms and any usage pricing before budgeting. The supplied evidence does not provide separate Pro or Scale plans, developer caps, or a supported basis for assigning a plan to a particular team size.
How dlt Pricing Compares
| Tool | Pricing Model | Starting Price | Best For |
|---|---|---|---|
| dlt | Freemium (open-source core) | Free / from $12,000 / month (managed) | Python-first teams wanting full pipeline control |
| Airbyte | Freemium (open-source core) | Free / $10/mo (cloud) | Teams needing 600+ pre-built connectors |
| Stitch | Freemium | $25/mo | Small teams wanting simple, managed ELT |
| Hevo Data | Freemium | $25/mo | Teams needing no-code data integration |
dlt stands apart as the only Python-native library in this comparison, meaning teams write and own their pipeline code directly rather than configuring connectors through a web interface. Airbyte offers a cloud entry point at $10/month with a sizable catalog of 600+ connectors, but its managed plans can scale up to $5,000/month for heavy workloads. Stitch and Hevo Data both start at $25/month with more traditional managed approaches and row-based pricing models. We find dlt most compelling for teams already invested in Python tooling who want to avoid vendor lock-in, since the open-source core runs anywhere Python does, from Airflow to serverless functions to Jupyter Notebooks. The trade-off is clear: dlt gives you maximum flexibility and code ownership at the cost of more hands-on pipeline management, while competitors like Stitch and Hevo Data prioritize ease of setup with less customization. For teams that value Python-first workflows and want to keep infrastructure costs predictable, dlt delivers the strongest value proposition in this category.