Airbyte vs dltHub at a glance
| Airbyte | dltHub |
|---|
| What it is | Data movement platform: UI, API, Terraform, Python (PyAirbyte) | Python library (dlt) plus a managed runtime (dltHub) |
| Prebuilt connectors | 700+ maintained connectors, including databases, SaaS APIs, files and unstructured sources | "Limited verified OSS connectors"; other sources are generated or hand-written in Python |
| Custom connectors | No-code Connector Builder with AI assist, low-code CDK, or Python CDK | Python code, with AI coding assistants (Claude Code, Codex, Cursor) |
| Deployment | Self-hosted (Core), fully managed cloud, hybrid or on-prem (Enterprise Flex) | Self-managed library, or dltHub managed runtime (US or EU data plane) |
| Entry price (managed) | $20/month (Standard), 14-day trial with 400 credits | $12,000/month, 12-month minimum, billed monthly |
| Pricing model | Volume-based (Standard, Plus) or capacity-based Data Workers (Pro, Enterprise Flex) | Runtime credits (1 credit ≈ 1 hour on a 2 vCPU / 4 GB sandbox), tiered overage |
| Self-hosted option | Airbyte Core, free | dlt library, free (Apache 2.0) |
| Change data capture (CDC) | Included on every plan | Source-available feature, paid subscription required |
| Apache Iceberg destination | Available | Source-available feature, paid subscription required |
| No-code access for analysts | Yes, full UI | No, code-first |
| SSO, RBAC, audit logs | SSO from Plus; RBAC and audit logs on Pro and Enterprise Flex | RBAC and audit logs on custom Enterprise plan |
| Support SLA | 24-hour SLA from Plus; 12-hour critical on Pro; 6-hour critical add-on | SLA on custom Enterprise plan; community support on free library |
| Security and compliance | SOC 2, ISO 27001, GDPR, HIPAA conduit | Trust Center published; certifications not listed on pricing page |
| Community | 25,000+ members, 1,000+ contributors | ~5.8K GitHub stars on dlt |
About Airbyte
Airbyte is the open standard for data movement, used by 18% of the Fortune 500. It moves data from 700+ sources into warehouses, lakehouses, databases and AI context stores. You can run it self-hosted, fully managed, or in a hybrid model where data never leaves your boundary.
About dltHub
dltHub is the company behind dlt (data load tool), an Apache 2.0 Python library for loading data from APIs, files and databases. In 2026 dltHub launched a managed platform that adds a runtime, observability, data quality checks and an AI harness for Claude Code, Codex and Cursor.
Connectors: prebuilt vs. generated
Airbyte ships 700+ connectors that are versioned, tested and maintained for you. When a vendor API changes, the fix lands in the connector, not in your codebase.
dlt takes a code-first route. Its pricing page describes "limited verified OSS connectors". Everything else is Python your team writes, often with an AI assistant, and then owns. That works for a handful of sources. At 30 or 50 sources, it becomes a connector library your team must maintain.
Need something Airbyte doesn't have? The Connector Builder creates a connector from API docs with AI assist, no code required. Engineers can drop into the low-code or Python CDK.
Pricing: what production actually costs
Airbyte lets you start small and grow without a contract:
- Core: free, self-hosted.
- Standard: from $20/month, fully managed, volume-based.
- Plus: from $189/month for 40 credits, with SSO and 15-minute syncs.
- Pro and Enterprise Flex: capacity-based pricing on Data Workers. You pay for compute capacity, not rows or GBs, so a data spike doesn't spike your bill.
dltHub's library is free, but its managed platform is $12,000/month on a 12-month minimum. That's $144,000 a year before overage. Usage beyond 5,000 included credits is billed from $1.00 per credit, and dltHub notes that pipelines do not pause automatically when credits run out.
Governance and security
Airbyte includes SSO from the Plus plan, and RBAC, audit logs, row filtering, field hashing and multiple data regions on Pro. Enterprise Flex adds in-boundary, on-prem and multi-region deployment with an Airbyte-managed control plane. Airbyte holds SOC 2 and ISO 27001, is GDPR compliant and qualifies as a HIPAA conduit.
With dlt alone, security is whatever your team builds around it. On dltHub, RBAC and audit logs sit in the custom-priced Enterprise plan.
Airbyte serves the whole data team. Analysts set up syncs in the UI. Engineers automate with the API, Terraform provider, PyAirbyte, or orchestrators like Airflow, Dagster and Prefect.
dlt serves Python engineers only. There is no point-and-click setup, so every new source waits on an engineer.
When to choose Airbyte vs dltHub
| Your situation | Better fit |
|---|
| You need 10+ standard sources (Salesforce, HubSpot, Postgres, Stripe) live this quarter | Airbyte |
| Analysts or ops teams need to add sources without engineering | Airbyte |
| You must keep data on-prem or in your own VPC for compliance | Airbyte (Enterprise Flex) |
| You want managed pipelines without a $144K/year commitment | Airbyte |
| You need CDC from production databases on any plan | Airbyte |
| You're one Python engineer loading a niche internal API into DuckDB | dlt library |
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