DQOps
DQOps is a data quality operations platform designed for data teams to automate data quality checks, monitor incidents, and visualize data quality dashboards. It supports integrations, a REST API, and a CLI for flexible deployment and management of data quality across the data lifecycle.
Overview
8 featuresIn the Observability & monitoring space, DQOps takes a focused approach. It automates and manages data quality monitoring and checks for data teams. It is built as a B2B product for data engineers. It runs on the web, the command line, and API.
DQOps first shipped in 2022. The project is developed in the open on GitHub with 193 stars. Among its 8 catalogued features are data quality checks, data quality dashboards, and REST API. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
- Data quality checks
- Data quality dashboards
- REST API
- Python client
- Command-line interface
- Incident management
- Customizable checks
- Integrations
Built with & integrations
- WordPress
- /wp-content/ in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about DQOps
- What does DQOps do?
- DQOps automates and manages data quality monitoring and checks for data teams. It is catalogued under Observability & monitoring on PulseGate.
- Who should use DQOps?
- DQOps is a B2B product built for data engineers.
- What platforms does DQOps run on?
- DQOps runs on the web, the command line, and API.
- Is DQOps still maintained?
- Unverified. DQOps has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
- How long has DQOps been around?
- DQOps first shipped in 2022.
- Is DQOps open source?
- DQOps has a public GitHub repository.
- Does DQOps have an API or integrations?
- Yes — DQOps exposes a public API.
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