DQOps
Warsaw data quality tool with 150+ checks, YAML data contracts and KPI scores, offered as SaaS or on-premise
At a glance
| Company | Documati sp. z o.o. |
|---|---|
| Category | Data Observability Platforms |
| Headquarters | Warsaw, Poland |
| Founded | Not stated |
| EU Presence | Yes - Poland (EU) |
| Data Location | not stated on the pages we read |
| Open Source | No |
| GDPR Compliant | Yes |
| Self-Hosting | On-premise and hybrid on the Enterprise plan |
| Main Features | Data profiling, rule mining, 150+ built-in checks, YAML data contracts, custom checks in Jinja2 and Python, anomaly and schema drift detection, incidents, KPI scores |
| Pricing | Personal $600 per month; Team $2,000 per month (billed annually); Enterprise custom |
| Best For | Data engineers who keep checks as code next to pipelines |
| Replaces | Monte Carlo, Great Expectations, Bigeye |
Our review
DQOps is a data quality platform that profiles new data sources, proposes checks and monitors tables with data observability. The terms and privacy policy name Documati sp. z o.o., Konstruktorska 11, 02-673 Warsaw, Poland, as the company and GDPR data controller.
DQOps keeps its checks as configuration. The home page describes data contracts in YAML files with code completion in Visual Studio Code.
What does DQOps check?
DQOps lists more than 150 built-in table and column checks covering completeness, timeliness, validity, consistency, reasonableness and accuracy. A rule mining engine proposes the configuration of common checks.
Custom checks and rules can be written with Jinja2 and Python. Issues are grouped into incidents that can be assigned to a team.
How is DQOps deployed and priced?
The pricing page lists Personal at $600 per month for a single user and 200 monitored tables, and Team at $2,000 per month for 5 users and 2,000 monitored tables, both billed annually.
Enterprise has a custom price with SaaS, on-premise or hybrid deployment. The page footer on our copy reads 2024, so confirm current prices.
How does DQOps fit into pipelines?
DQOps can run checks from data pipelines, verify data contracts of source tables and prevent corrupted data from being loaded. It measures data quality with KPI scores that can be shared with business sponsors.
The home page links to a GitHub repository named dqops/dqo; the licence is not shown on the pages we read.
Points against
Prices are in US dollars and the page we read carries a 2024 footer. The Personal plan covers one user. The pages we read show no hosting region, no certifications and no open-source licence. DQOps has no catalog or lineage views of the kind Sifflet lists.
Best suited to users of DQOps
Data engineers who want checks stored as code and a public monthly price. Teams that want lineage and a catalog in the same product may prefer Sifflet or Collibra.
What works, what does not
Pros
- Prices published for two plans
- More than 150 built-in checks
- Data contracts in YAML with VS Code support
- SaaS, on-premise and hybrid options
- Polish sp. z o.o. named in terms and privacy policy
Cons
- Personal plan covers one user
- Prices in US dollars on a page with a 2024 footer
- Licence and hosting region not stated
- No lineage views listed
Pros and Cons
Pros
- Two plan prices printed in full
- More than 150 checks shipped with the product
- YAML data contracts with editor support in VS Code
- SaaS, on-premise and hybrid deployment options
- Warsaw company named in both the terms and the privacy policy
Cons
- The Personal plan is limited to one user
- Dollar prices on a page with a 2024 footer
- Licence and hosting region are not stated
- No lineage views among the listed features
Alternatives to DQOps
Alternatives from Europe in the data observability platforms group:
See all European data observability platforms or compare them directly against Monte Carlo on our alternatives page.
Questions buyers ask
Documati sp. z o.o. at Konstruktorska 11, 02-673 Warsaw, Poland is named as the Company in the DQOps terms and as data controller in its privacy policy.
The pricing page lists Personal at $600 per month and Team at $2,000 per month, both billed annually, and Enterprise at a custom price. Prices are in US dollars.
Yes. The Enterprise plan lists SaaS, on-premise or hybrid deployment, while Personal and Team list a SaaS version.