Audience

Companies looking for a data observability tool that handles data analysis

About DQOps

DQOps is an open-source data quality platform designed for data quality and data engineering teams that makes data quality visible to business sponsors.

The platform provides an efficient user interface to quickly add data sources, configure data quality checks, and manage issues. DQOps comes with over 150 built-in data quality checks, but you can also design custom checks to detect any business-relevant data quality issues. The platform supports incremental data quality monitoring to support analyzing data quality of very big tables. Track data quality KPI scores using our built-in or custom dashboards to show progress in improving data quality to business sponsors.

DQOps is DevOps-friendly, allowing you to define data quality definitions in YAML files stored in Git, run data quality checks directly from your data pipelines, or automate any action with a Python Client. DQOps works locally or as a SaaS platform.

Pricing

Starting Price:
$499 per month
Free Version:
Free Version available.

Integrations

API:
Yes, DQOps offers API access

Ratings/Reviews

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Company Information

DQOps
Founded: 2021
Poland
dqops.com

Videos and Screen Captures

Checks in DQOps can be quickly edited with intuitive user interface

Checks in DQOps can be quickly edited with intuitive user interface

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Product Details

Platforms Supported
Cloud
Windows
Mac
Linux
On-Premises
Training
Documentation
Support
Online

DQOps Frequently Asked Questions

Q: What kinds of users and organization types does DQOps work with?
Q: What languages does DQOps support in their product?
Q: What other applications or services does DQOps integrate with?
Q: Does DQOps have an API?
Q: What type of training does DQOps provide?
Q: How much does DQOps cost?

DQOps Product Features

Data Quality

Address Validation
Data Profililng
Data Deduplication
Data Discovery
Master Data Management
Match & Merge
Metadata Management

DQOps Additional Categories