Software Alternatives & Reviews

DQOps VS Melissa Data Quality

Compare DQOps VS Melissa Data Quality and see what are their differences

DQOps logo DQOps

Increase confidence in your data by tracking the data quality

Melissa Data Quality logo Melissa Data Quality

Melissa helps companies to harness Big Data, legacy data, and people data (names, addresses, phone numbers, and emails).
  • DQOps Checks in DQOps can be quickly edited with intuitive user interface
    Checks in DQOps can be quickly edited with intuitive user interface //
    2024-01-19
  • DQOps DQOps dashboards enable quick identification of tables with data quality issues
    DQOps dashboards enable quick identification of tables with data quality issues //
    2024-01-19
  • DQOps With DQOps, you can conveniently keep track of the issues that arise during data quality monitoring
    With DQOps, you can conveniently keep track of the issues that arise during data quality monitoring //
    2024-01-19
  • DQOps DQOps dashboards simplify monitoring of data quality KPIs
    DQOps dashboards simplify monitoring of data quality KPIs //
    2024-01-19
  • DQOps DQOps enables quick data profiling
    DQOps enables quick data profiling //
    2024-01-19
  • DQOps DQOps supports the most popular data sources
    DQOps supports the most popular data sources //
    2024-01-19

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.

  • Melissa Data Quality Landing page
    Landing page //
    2023-09-27

Category Popularity

0-100% (relative to DQOps and Melissa Data Quality)
Analytics
100 100%
0% 0
Customer Support
0 0%
100% 100
Data Quality
100 100%
0% 0
Delivery Management System

User comments

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Social recommendations and mentions

Based on our record, Melissa Data Quality seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

DQOps mentions (0)

We have not tracked any mentions of DQOps yet. Tracking of DQOps recommendations started around Nov 2022.

Melissa Data Quality mentions (1)

  • What’s going on with my address? Never seen a problem like this.
    USPS isn't the only address validation. In fact, many businesses use Melissa. Check your address on USPS.com and also on melissa.com. If melissa doesn't have your address, you can submit a "suggestion" and hopefully they'll get that fixed for you. If it's USPS that doesn't recognize your address, then (I believe) your carrier has to correct it in his route book and then (eventually) it'll work it's way to usps.com. Source: over 2 years ago

What are some alternatives?

When comparing DQOps and Melissa Data Quality, you can also consider the following products

DQLabs.ai - The Modern Data Quality Platform.

Webnexs POS - Webnexs POS is a world’s most leading and comprehensive POS (point of sale) solution designed to let you sell from your one e-commerce website.

Collibra - Collibra automates data management processes by providing business-focused applications where collaboration and ease-of-use come first.

Loqate - The Standard in Global Address Verification

Metaplane - Metaplane is the Datadog for Data — a data observability tool that continuously monitors your data stack, alerts you when something goes wrong, and provides relevant metadata to help you debug.

Smarty - Smarty provides address validation, autocomplete, geocoding and reverse geocoding services covering addresses in over 240+ countries.