dltHub
- Company typePrivate
- Founded2021
- HeadquartersWilmington, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
dltHub firmographics
Firmographics- Name
- dltHub
- Legal name
- dltHub, Inc.
- Website
- https://dlthub.com
- Company type
- Private
- Founded year
- 2021
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
dltHub industry classification
Industry- Product category
- Data Integration and ETL Software
- NAICS
- Software Publishers (513210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Developer Tools & DevOps Platform Services (CI/CD, Artifacts, IaC) (HDABAAAI)
- akta.pro secondary industry
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
Keywords
Where dltHub is headquartered
LocationHeadquarters
- HQ city
- Wilmington
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
dltHub business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- dltHub Pro Subscription: Monthly subscription tier providing access to dltHub Pro platform features including AI Workbench, managed runtime, observability, collaboration features, and consumption credits. The Pro plan costs $119/month with $50 in monthly credits included.
- Usage-based Runtime Credits: Beyond included monthly credits, runtime is billed at $1/hour for compute used by pipelines running on dltHub's managed infrastructure. Customers can purchase top-up credits.
- Migration and Consulting Services: Paid professional services including migration support to move existing pipelines to dltHub and forward-deployed engineering for accelerated implementation on fixed scopes.
- Open Source Library (Free Tier): The dlt open-source library is Apache 2.0 licensed and always free to use, serving as the top-of-funnel product that drives adoption and conversion to paid dltHub Pro.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | Pro Plan: $119/month |
| Subscription | Monthly | Scale Plan: from $1k/month |
| Subscription | Multi-year contract | Enterprise: Custom pricing |
| Freemium | Pay-as-you-go | Free Trial: 14 days with $30 credits |
Go-to-market motion2 records
Distribution channels5 records
Marketing channels8 records
dltHub product offering
Product offeringCore offering
dltHub builds and sells dlt, an open-source Apache 2.0-licensed Python library used by 10,000+ companies to construct data pipelines from REST APIs, SQL databases, filesystems, and cloud storage, along with dltHub Pro, a managed commercial platform that deploys, monitors, and scales these pipelines in production with AI-native agentic workflows. The Pro platform exposes AI Workbench toolkits and an MCP server so AI coding assistants (Claude, Codex, Cursor) can autonomously generate, validate, and deploy pipelines from natural language prompts.
Product overview
dltHub is a Berlin-based company offering an open-source Python library (dlt) and a commercial managed platform (dltHub Pro) for building and deploying data pipelines with AI. The product portfolio consists of: (1) dlt - the open-source Apache 2.0 licensed Python library for data ingestion from REST APIs, SQL databases, and filesystems, with 6M+ monthly downloads and 50,000+ developers; (2) dltHub Pro - the managed production platform for deploying and scaling dlt pipelines with observability and scheduling; (3) dltHub AI Workbench - agentic toolkits (REST API pipeline, data exploration, transformation, deployment) that ship with Pro and enable AI agents to build, validate, and deploy pipelines from natural language; (4) dltHub Context - a catalog of 9,700+ REST API configurations and AI-native context assets for grounding AI coding assistants; (5) OpenAPI source generator (dlt-init-openapi) for generating pipelines from OpenAPI specs. The platform is Claude/Codex/Cursor-native, works with Snowflake and 30+ other destinations, and supports professional services including migration, forward deployed engineering, and consulting. Pricing tiers include Pro ($119/month), Scale (~$1k/month), and Enterprise.
Differentiator
Problem solved
Functional benefit
Products and services
- dlt (data load tool) Apache 2.0 licensed open-source Python library for building data pipelines from REST APIs, SQL databases, filesystems, and cloud storage. Used by 10,000+ companies and 50,000+ developers with 6M+ monthly PyPI downloads.
- dltHub Pro Managed platform for deploying, monitoring, and scaling dlt pipelines in production with managed runtime, observability, scheduling, alerting, and team collaboration. Priced at $119/month (Pro), ~$1k/month (Scale), and custom (Enterprise).
- dltHub Native App on Snowflake Marketplace Native App on Snowflake Marketplace for replicating MSSQL, MySQL, and PostgreSQL into Snowflake. Runs as a Snowflake Task with data not leaving the Snowflake environment.
- dltHub Context Hub of AI-native context assets (9,700+ REST API configurations, skills, commands, hooks, AGENT.md files, and coding patterns) that ground AI coding assistants with everything needed to build any dlt pipeline.
- dlt-init-openapi (OpenAPI Source Generator) Developer tool that generates dlt data pipelines from OpenAPI 3.x specifications, including automatic pagination discovery, primary key discovery, endpoint relationship mapping, and authentication detection.
- dltHub Migration Services Paid professional services for moving existing pipelines to dltHub on a fixed scope, including pipelines, platform, and team enablement delivered by certified partners or in-house engineers.
- dltHub Forward Deployed Engineering Service in which dltHub engineers own the migration from a legacy data stack onto dlt or dltHub Pro on a fixed scope, including pipelines, platform, and enablement.
Quantifiable outcome
- 34x year-over-year growth in pipeline creation (from 2,400 to 81,000 pipelines per month)
- +5 more outcomes
Companies that use dltHub
Customer profileNamed customers7 records
Segments4 records
Ideal customer profiles4 records
dltHub technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration31 records
AI capability9 records
Feature5 records
dltHub partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered core and minor.
- SnowflakecoreSnowflake is both a technology/integration partner and distribution channel. dltHub is a Snowflake Premier Partner with industry competencies in Financial Services, Healthcare & Life Sciences, Manufacturing, and Technology. Products include Native App on Snowflake Marketplace and Cortex Code integration. dltHub was named 2026 Snowflake Startup Program Product Partner of the Year.
- InterworksminorActive consulting partner providing implementation services for dltHub. Partners receive 25-50% discount and 10-20% referral fees on sourced deals, plus co-marketing, case studies, and private Slack support.
- Squadron DataminorSnowflake's partner bridging gap between existing systems and Openflow environment. Helps customers transition and integrates with dltHub's complementary positioning for sources beyond Openflow's 20 connectors.
- Hugging FaceminorCTO/co-founder Julien Chaumond serves as an advocate, stating 'dlt is the first tool that this new wave of people can use' for extending ML revolution into enterprise data. Represents alignment between AI/ML ecosystem and data ingestion.
Scale indicators8 records
Recent moves6 records
Expansion highlights6 records
dltHub competitors and assessment
Company assessmentDirect peers
- Fivetran: Fivetran is the leading managed data ingestion platform, providing automated pipelines from hundreds of sources into warehouses. It directly competes with dltHub Pro for enterprise data ingestion workloads, especially with Snowflake and other cloud warehouses.
- Airbyte: Airbyte is an open-source data integration platform with a large connector catalog and managed cloud offering. It is the closest direct competitor to dltHub, particularly given its open-source foundation, connector breadth, and Snowflake destination focus.
- Hevo Data: Hevo Data is a no-code data pipeline platform for ingesting and transforming data into cloud warehouses. It overlaps with dltHub Pro for organizations seeking automated, low-code ingestion into Snowflake, BigQuery, and similar destinations.
Broad incumbents
- Snowflake Openflow: Snowflake's Openflow is a native ingestion service within Snowflake's AI Data Cloud. While dltHub is a Snowflake partner, Openflow represents the warehouse vendor's own answer to data ingestion, with potential overlap on connector coverage.
- dbt Labs: dbt Labs is the standard for SQL-based data transformation and is referenced alongside dlt in the data engineering stack. While dltHub handles ingestion and dbt handles transformation, both target the same data engineer persona and increasingly compete for AI-native workflow mindshare.
- Matillion: Matillion provides a data integration and transformation platform for cloud warehouses, with deep Snowflake partnership. It is a broader incumbent competing for the same enterprise ingestion and ELT budget that dltHub targets.
- Stitch (by Talend): Stitch is a managed ETL service for replicating data from sources into cloud warehouses. It is part of the Qlik/Talend portfolio and competes with dltHub Pro on simple, managed data ingestion for mid-market customers.
Emerging players
- Kestra: Kestra is an open-source data orchestration and workflow platform that supports building data pipelines declaratively. It overlaps with dltHub's deployment and orchestration capabilities, particularly for teams wanting open-source alternatives.
- Mage AI: Mage AI is an open-source data pipeline tool with AI integration features for building pipelines with LLM assistance. It competes with dltHub in the AI-native data engineering space, particularly for teams looking for code-first pipeline tools with AI augmentation.
Others
- Prefect: Prefect is a workflow orchestration platform that integrates with dlt for scheduling and running pipelines. It is an enabling/ecosystem peer rather than a direct competitor, complementing dltHub's ingestion with orchestration capabilities.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks5 records
Key highlights7 records
Customer concentration
dltHub social profiles
Digital presencedltHub compliance and trust
Trust signalCompliance4 records
dltHub financial estimates
Financial estimateRevenue estimate
Valuation estimate
dltHub leadership team
Management profileNumber of profiles
Profiles2 records
dltHub funding detail
Funding detailFunding overview
Funding rounds4 records
Investors4 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
dltHub M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about dltHub
What does dltHub do?
dltHub builds and sells dlt, an open-source Apache 2.0-licensed Python library used by 10,000+ companies to construct data pipelines from REST APIs, SQL databases, filesystems, and cloud storage, along with dltHub Pro, a managed commercial platform that deploys, monitors, and scales these pipelines in production with AI-native agentic workflows. The Pro platform exposes AI Workbench toolkits and an MCP server so AI coding assistants (Claude, Codex, Cursor) can autonomously generate, validate, and deploy pipelines from natural language prompts.
Is dltHub a public or private company?
dltHub is a private company. It is classified as venture growth investor backed and is currently operating.
When was dltHub founded?
dltHub was founded in 2021. It employs 11 to 50 people.
Where is dltHub based?
dltHub is headquartered in Wilmington, United States, in the North America region.
How does dltHub make money?
Four revenue lines are on record. dltHub Pro Subscription is the primary driver. The others are usage-based Runtime Credits, migration and Consulting Services and open Source Library (Free Tier).
Who are dltHub's main competitors?
Direct peers on record are Fivetran, Airbyte and Hevo Data. Broad incumbents are Snowflake Openflow, dbt Labs, Matillion and Stitch (by Talend). Emerging players are Kestra and Mage AI. Prefect is listed as an others.
Does dltHub have an API?
Yes. dltHub offers an MCP (Model Context Protocol) server as part of the AI Workbench toolkits. The MCP server enables AI coding assistants (Claude Code, Cursor, Codex) to interact with dlt pipelines - pulling table previews, schema information, and enabling context-aware pipeline building. The REST API toolkit uses the MCP server to surface pipeline configurations, validation results, and table data to agents. Additionally, the dlt library itself exposes a Python API for pipeline configuration, and the dlt-init-openapi tool generates pipeline code from OpenAPI specs. The platform supports AI-native context assets including skills, commands, hooks, and AGENT.md files that ground AI agents with structured context for building dlt pipelines. Developer documentation is at dlthub.com/docs.
What industry is dltHub in?
dltHub's product category is Data Integration and ETL Software. Its primary akta.pro industry code is HDABAAAI, Developer Tools & DevOps Platform Services (CI/CD, Artifacts, IaC), with a secondary code of HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs). Its NAICS code is 513210 and its SIC code is 7372.