The Modern Data Quality Platform

Deliver reliable and accurate data for better business outcomes.
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Modern Data Quality Platform leveraging observability

A Modern Data Quality Platform delivers the data that matters.

A centralized platform that brings both the data minds and business minds together to not only observe, measure but also visualize, remediate and collaborate on Data Quality issues in their own ways with a focus on direct outcomes and measurable business value.

The DQLabs Platform harnesses the combined power of Data Quality and Data Observability to enable data producers, consumers, and leaders to achieve decentralized data ownership and turn data into action faster, easier, and more collaboratively.

Data Observability

Data Observability

Remediation-centric

Data Relevance

Decentralized Data Ownership

Enhanced Data Collaboration

AI/ML-enabled Semantic Data Discovery

Fast, Reliable, and Scalable

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Trusted By Modern Data Teams Worldwide

Observe-Measure-Discover-Remediate
the data that matters

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.

Data Quality

Agile quality-focused assessment for known issues across domains for data leaders, producers, and consumers.
Data Discovery

Automatic identification and classification of business terms across your data for standardized quality checks and improved governance.

Unified Data Quality Approach

Regardless of your role, you need a simple, augmented data quality platform that delivers relevant data that meets your unique needs.

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DQLabs, Inc is proud to be a Top 10 Semi-Finalist in the Snowflake Startup Challenge 2023.

``Snowflake Startup Challenge 2023: DQLabs in Top 10 Semi-Finalist``
Data Reliability

Improve data trustworthiness for critical decisions using automated data monitoring and notifying data engineers of reliability issues.

Business Quality

Improve confidence in consumption using business outcome-focused checks across processes, process owners, and data stewards.

Fully Automated

Modernize your data infrastructure in minutes using ML-powered, no-code data quality checks.

Performance Delivered

Deliver millions of checks across petabytes of data across lakes and warehouses in seconds.

Security Compliant

SOC Type 2 compliant platform in a highly secure infrastructure with no customer data retrieval.

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Our Customers

DQLabs ranks as a Leader in the Everest PEAK Matrix® Assessment for Data Observability.

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Automating Data Quality in Databricks with DQLabs
Automating Data Quality in Databricks with DQLabs
 Automating Data Quality in Databricks with DQLabs 1024 575 DQLabs

Databricks is a cloud-based data platform that integrates data engineering, machine learning, and analytics into a unified workspace. Built on Apache Spark, it enables organizations to efficiently process and analyze large datasets. The platform supports a variety of data formats and provides tools for real-time data processing, making it suitable for diverse applications, including data…

MDQS 2024
Top Five Reasons To Attend The Modern Data Quality Summit 2024
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The world is experiencing a data revolution, led by AI. However, only 48% of AI projects reach production, taking an average of 8.2 months. This shows the need for AI-readiness and quality data. At the Modern Data Quality Summit 2024, we offer insights into best practices, innovative solutions, and strategic frameworks to prepare your data…

MDQS 2023
Modern Data Quality Summit 2023: Recap & Highlights
 Modern Data Quality Summit 2023: Recap & Highlights 1024 575 DQLabs

The Modern Data Quality Summit 2023 was a landmark event for DQLabs that brought together leading data experts, engineers, and thought leaders to discuss and share insights on the latest trends, technologies, and methodologies in data quality. As we gear up for this year’s event, let’s take a look back at the key highlights and…

What is Data Anomaly Detection?
What is Data Anomaly Detection?
 What is Data Anomaly Detection? 1024 575 DQLabs

Organizations that want to implement data-driven decision-making know that their business decisions are directly influenced by the quality of their data. Data and business teams are well versed with the “garbage in, garbage out” mantra that highlights the importance of quality data for enterprise data initiatives. However, organizations still follow a reactive approach to data…

Case Studies

Learn how enterprise customers worldwide leverage DQLabs to improve data quality.

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Upcoming Webinars

Stay connected to the latest webinars and information from DQLabs.

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White Paper

Insights on Modern Data Quality Approach using multiple capabilities and enabling reliable, accurate data for better business outcomes.

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CASE STUDIES

Learn how enterprise customers worldwide leverage DQLabs to improve data quality.

Read our Case Study

MDQS recordings available. Watch expert insights anytime.

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WHITEPAPER

The Convergence of Data Quality and Data Observability

Read our Whitepaper

DQLabs, Inc is proud to be a Top 10 Semi-Finalist in the Snowflake Startup Challenge 2023.

``Snowflake Startup Challenge 2023: DQLabs in Top 10 Semi-Finalist``