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
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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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

The State of Data Observability

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The State of Data Observability
 The State of Data Observability 750 416 dqlabs

Did you know that over 80% of organizations rely on quality data to make decisions? However, if this data is not reliable, a company can quickly make the wrong calls. Data observability is one of the most important topics in data engineering today. But what is it, and why do you need it? In this post, we’ll…

Data Observability is Irrelevant without Context
 Data Observability is Irrelevant without Context 540 300 dqlabs

With today’s rapid growth in data, a focus towards data quality is more critical than ever before. Since the first bit of digital data existed Data Quality has existed alongside it as a practice, and yet after decades gaps in the marketplace still exist as the focus towards business impact is often forgotten. We quite…

The Noise in Modern Data Quality
 The Noise in Modern Data Quality 540 300 dqlabs

The need for high-quality, trustworthy data in our world will never go away. With the growth in data, the need arises more than ever before. Even though we have evolved from data silos to pipelines (ELT/TL) to streaming to modern data stack/warehouse, multi-cloud, data mesh — still we are faced with an age-old problem of…

Gartner Data Quality Software Comparison – DQLabs Rated High
 Gartner Data Quality Software Comparison – DQLabs Rated High 540 300 dqlabs

Gartner, Inc. just released a comprehensive comparison of the leading suppliers of Data Quality Software which included DQLabs. The Connecticut-based technology research and consulting company published this report covering data management solutions for technical professionals. Gartner undertook this study after surveys with leading organizations revealed that capabilities provided by traditional data quality software require too…

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