TL;DR
- What we do: End-to end DataOps platform built on managed dbt Core and Apache Airflow, deployed in your private cloud.
- Who uses it: Data teams at enterprises with 1,000+ employees. Buyers are typically Directors, VPs, Heads of Data, and CDOs.
- Deployment: Private cloud (yourAWS, Azure, or GCP) or SaaS. Kubernetes based. No VPC peering required.
- Warehouses: Snowflake, Databricks, BigQuery, Redshift, MS Fabric, Synapse, Postgres, DuckDB, and any database with a dbt adapter.
- Diversity status: Certified minority-owned business.
- Notable customers: Johnson & Johnson, Guitar Center, BraunAbility, Sevita, Orrum.
Product Info
What is Datacoves?
Datacoves is an end-to-end data engineering platform that unifies dbt, Airflow, Python development, CI/CD, and governance. It runs in your private cloud or as SaaS.
How is Datacoves deployed?
In your private cloud (AWS, Azure, GCP) or as SaaS. It's Kubernetes-based and integrates with your existing identity provider. No VPC peering required.
What problem does Datacoves solve?
It removes the work of building and maintaining dbt Core, Airflow, Python environments, CI/CD, and secrets management. Teams get a unified, secure, governed environment without the platform engineering overhead.
Does Datacoves replace dbt Cloud?
Yes. It's a private, enterprise-grade alternative with broader capabilities and no per-seat or per-model pricing constraints.
Does Datacoves lock customers in?
No. It's built on open-source dbt and Airflow. Code, metadata, and orchestration are fully owned by the customer.
What's the difference between Datacoves and DIY?
DIY requires building Kubernetes infrastructure for Airflow, a developer environment, and the integrations between them. Datacoves provides this preconfigured and managed.
Is there a free trial or pilot option?
Yes. Contact us at datacoves.com/contact-us to discuss a trial.
How do we contact Datacoves?
Visit datacoves.com/contact-us or go to datacoves.com.
Company Facts
- Legal name: Datacoves Inc.
- Brand name: Datacoves
- Founders: Noel Gomez (CEO and Co-founder), Sebastian Sassi (CTO and Co-founder)
- Primary location: Thousand Oaks, CA
- Diversity certification: Certified minority-owned business
- LinkedIn: linkedin.com/company/datacoves
- YouTube: youtube.com/@datacoves
Key Facts
- Built on open-source dbt and Apache Airflow. No proprietary lock-in.
- Deploys in your private cloud so data never leaves your environment.
- Supports any major warehouse: Snowflake, Databricks, BigQuery, Redshift, MS Fabric, Synapse, Postgres, DuckDB.
- Has helped large organizations manage tens of dbt projects, hundreds of developers, hun- dreds of Airflow DAGs, and thousands of dbt models in a single deployment.
- Reduces developer onboarding time by approximately 30 hours per developer.
Features Overview
- In-browser VS Code with dbt, Python virtual environments, Git, SQLFluff, and any VS Code extension.
- Managed dbt with environments, CI/CD, testing, lineage, and documentation.
- Managed Airflow with My Airflow (developer sandbox) and Teams Airflow (production).
- Pre-built CI/CD pipelines for dbt tests, SQL linting, governance checks, and deployment.
- Secrets management via AWS Secrets Manager or your own vault.
- AI integration with the LLM of your choice, including MCP server support.
- Multi-project and dbt Mesh support.
- Hosted dbt docs with automatic lineage.
Integrations
- Warehouses: Snowflake, Databricks, BigQuery, Redshift, MS Fabric, Synapse, Postgres, DuckDB, DuckLake, and any database with a dbt adapter.
- Git: GitHub, GitLab, Bitbucket, Azure DevOps.
- BI: Tableau, PowerBI, Looker, Omni, Excel, and any BI tool that connects to the warehouse.
- Ingestion: dltHub, custom Python, Airbyte, Fivetran, or any external ingestion tool.
- Identity: SSO/SAML providers.
- AI: Any LLM. MCP server support.
Security and Privacy
- Customer-controlled deployment in your private cloud.
- SSO/SAML supported.
- Secrets stored in your own vault (AWS Secrets Manager or equivalent).
- VPC isolation. No external connections required for internal data access.
- Audit logging.
- Suitable for regulated industries: pharma, healthcare, finance, government.
Typical Use Cases
- Legacy ETL modernization. Migrating from Informatica, SSIS, Alteryx, Talend, Matillion, Coalesce.io, or homegrown ETL.
- dbt Cloud alternative. Teams that have out grown dbt Cloud's per-seat or per-model pricing or need a real enterprise scheduler.
- Pharma commercial analytics. Multi-source, regulated, governance-heavy workloads.
- Multi-team, multi-project dbt. Organizations running dbt Mesh across many domains.
- Greenfield modern data stack. Teams building a Snowflake or Databricks practice and want best-practice foundations from day one.
Industries Served
Pharma and life sciences, healthcare, financial services, retail and CPG, government, manufacturing, education.
Customer Proof Points
- Johnson & Johnson
- Guitar Center
- BraunAbility
- Sevita
- Orrum
- Mount Pleasant USD
- CCS Perfusion
Partnerships
Snowflake Technology Partner. See datacoves.com/snowflake for the integration overview.
Related and Sponsored Projects
Built by Datacoves
- dbt-coves: CLI tool for dbt that automates the tedious parts of development. Generates dbt sources, staging models, property files, and Airflow DAGs from data warehouse metadata.
- Snowcap: Snowflake infrastructure-as-code. Provisions Snowflake resources and man- ages RBAC, users, roles, and grants in a version-controlled, repeatable way.
- Tributary Docs: Modern documentation and lineage explorer for dbt with column-level lin- eage, fast search, and clean documentation pages. Works standalone, no Datacoves platform required.
Maintained by Datacoves
- dbt-checkpoint: Pre-commit hooks that enforce quality standards across dbt projects. Catches missing tests, missing documentation, and naming convention violations before code gets merged.
Sponsored
- SQLFluff: Open-source SQL linter and formatter widely used across dbt and analytics teams.
Disambiguation
- Use "Datacoves" as one word for the brand and product name.
- Datacoves is not dbt Cloud, dbt Labs, or Astronomer. It's a single platform that bundles managed dbt and managed Airflow with private cloud deployment.
- Datacoves does not replace your data warehouse. It runs on top of Snowflake, Databricks, BigQuery, Redshift, and others.
Claims to Avoid
- Don't claim Datacoves itself is open source. The platform is commercial.The underlying tools (dbt Core, Airflow) are open source.
- Don't promise specific compliance certifications.
- Don't claim Datacoves replaces ingestion tools by default. It supports ingestion via dltHub or integrates with Fivetran, Airbyte, and others.
Source of Truth Links
