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Market Presence: Augmented Data Quality Solutions, Data Observability Tools

Overview

Product Information on DQLabs Platform

Updated 16th May 2023

What is DQLabs Platform?

DQLabs is an automated modern data quality platform that delivers reliable and accurate data for better business outcomes. DQLabs automates business quality checks and resolution using a semantic layer to deliver “fit-for-purpose” data for consumption across reporting and analytics. With an automation-first approach and self-learning capabilities, the DQLabs platform harnesses the combined power of Data Observability, Data Quality, and Data Discovery to enable data producers, consumers, and leaders to turn data into action faster, easier, and more collaboratively.

DQLabs Platform Pricing

For DQLabs, modern data quality platform pricing is based on a subscription model that is billed annually. The subscription fee is determined based on the number of data source connectors they want to use. With the standard license, customers will get three data source connectors and all the capabilities within Observe, Measure, Discover, and Product support.

DQLabs Platform Product Images

Discover Page
Discover Page
Measure Page
Measure Page

Overall experience with DQLabs Platform

Data Analyst
<50M USD, Consumer Goods
FAVORABLE

“Automates Design Tasks but Lacks Comprehensive Documentation and High Complexity Handling”

4.0
Apr 6, 2026
As an analyst, I can say that the product has an outstanding ability in automating a lot of design work, so I can focus more on analyzing data and help stakeholders in giving insightful analysis.
Engineering Engineer
50M - 250M USD, Hardware
CRITICAL

“Comprehensive Data Insights Offered Despite Lack of Null Profiling and Schema Alerts”

3.0
Apr 2, 2026
It offers a comprehensive view of the data health but misses basics like null profiling and schema drift alerts.

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

Peer Discussions

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DQLabs Platform

byDQLabs
in
4.7

About Company

Company Description

Updated 24th October 2024

DQLabs is an augmented data quality and observability platform that assists organizations in delivering dependable and precise data to improve their business outcomes. The platform offers automation-first and self-learning features, combining Data Observability, Data Quality and Data Discovery. This enables data producers, consumers, and leaders to transform data into actionable insights quickly, easily, and in a collaborative manner.

Company Details

Updated 26th February 2025
Company type
Private
Year Founded
2020
Head office location
Pasadena, United States
Number of employees
51 - 200
Annual Revenue
<50M USD
Website
https://www.dqlabs.ai

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User Sentiment About DQLabs Platform
Reviewer Insights for: DQLabs Platform
Performance of DQLabs Platform Across Market Features

DQLabs Platform Likes & Dislikes

Like

1. For a basic start, even a non-coder can use the product effectively. 2. Helps identify issues such as missing data. 3. With a user-friendly UI, it becomes easy to showcase data analytics to stakeholders.

Like

They have a full-fledged data quality solution. It can get lineage out of many different systems. You can parameterize and template everything.

Like

Out the box measures. Top notch customer service experience. Continous improvement of their offerings.

Dislike

1. Initial struggle is observed when learning the tool as there is very little in-depth documentation or user support available. 2. Cannot completely rely on the product automation when it comes to handling high complexity and large data. 3. The product is a little pricey.

Dislike

The GUI's are tedious and slow. Push down optimization creates a view on the fly that requires a table lock which creates a mess. The generated SQL subqueries are not formatted which makes the analysis slow.

Dislike

User interface could be more intuitive. Greater explainability of metrics, and where quality is lacking.

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Recommended Gartner Insights

  • Critical Capabilities for Augmented Data Quality Solutions
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DQLabs Platform Reviews and Ratings

Filter Reviews
Sort By:
Most helpful
Last 12 Months
Star Rating
Reviewer Type
Reviewer's Company Size
Reviewer's Industry
Reviewer's Region
Reviewer's Job Function
  • Data Analyst
    <50M USD
    Consumer Goods
    Review Source

    Automates Design Tasks but Lacks Comprehensive Documentation and High Complexity Handling

    4.0
    Apr 6, 2026
    As an analyst, I can say that the product has an outstanding ability in automating a lot of design work, so I can focus more on analyzing data and help stakeholders in giving insightful analysis.
  • Engineering Engineer
    50M-1B USD
    Hardware
    Review Source

    Comprehensive Data Insights Offered Despite Lack of Null Profiling and Schema Alerts

    3.0
    Apr 2, 2026
    It offers a comprehensive view of the data health but misses basics like null profiling and schema drift alerts.
  • Data Analyst
    50M-1B USD
    Finance (non-banking)
    Review Source

    Top notch support team!

    5.0
    Apr 21, 2026
    The team and our main point of contact is incredibly knowledgeable about the product, its features, and how to implement it. they go beyond just setting up the tool, and help provide guidance on implementation. They are very quick to accept feedback, and help to customize the platform for our needs. also very personable.
  • Data Analyst
    50M-1B USD
    Manufacturing
    Review Source

    Clean Interface and Active Learning Features Noted, Instruction Clarity Varies

    5.0
    Apr 2, 2026
    I had a positive experience using DQ labs platform. The interface is very clean, intuitive and easy to navigate.
  • Data Analytics Strategy & Advisory, Lead
    50M-1B USD
    Banking
    Review Source

    DQLabs honest review

    5.0
    Apr 21, 2026
    Great product and very responsive team. They demo their product very well and implementation has been excellent as well
...
Showing Result 1-5 of 81

4.7

(67 Ratings)

Rating Distribution

5 Star
67%
4 Star
30%
3 Star
3%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.5

Integration & Deployment

4.6

Service & Support

4.6

Product Capabilities

4.7