DataHub vs Metaustral
DataHub is LinkedIn's open-source data catalog — technically capable, with push-based lineage and a highly extensible architecture.
DataHub is an open-source data catalog developed at LinkedIn and now maintained by the open-source community and Acryl Data (the commercial entity). It features a push-based lineage model where data pipelines actively emit lineage events, enabling high-accuracy, real-time lineage graphs. As an open-source platform, it offers significant extensibility and can be self-hosted or used through Acryl Data's managed cloud offering. Self-hosted deployments require infrastructure provisioning and ongoing maintenance by your team.
| Feature | Metaustral | DataHub |
|---|---|---|
| Deployment | Managed SaaS | Self-hosted or managed cloud (Acryl Data) |
| Setup time | Typically operational in minutes | Depends on deployment environment and configuration |
| Pricing model | Self-service; free plan + paid plans from $29/mo | Open-source; infrastructure and operational costs apply |
| Auto-discovery | ||
| Data lineage | (push-based; pipelines emit lineage events in real time) | |
| Business glossary | ||
| ERD diagrams | ||
| Ongoing infra maintenance | None | Your team owns it |
| Target audience | SMB & mid-market | Teams valuing open-source extensibility |
Bottom line
DataHub is a strong choice for teams that value open-source extensibility, need push-based lineage for active data pipeline environments, and have the capacity to manage deployment and ongoing maintenance. If your team prefers a fully managed SaaS option without infrastructure overhead, Metaustral offers a different trade-off.