The Modern Data Quality Platform

Deliver reliable and accurate data for better business outcomes.

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

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.

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.

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.

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…

How to Improve Your Financial Data Quality Management
How to Improve Your Financial Data Quality Management
How to Improve Your Financial Data Quality Management 1024 575 DQLabs

Financial services are a complex ecosystem built on trust and meticulous record-keeping. They undoubtedly reap significant advantages from their data resources. However, the potential business value can be diminished or even jeopardized if the data is of poor quality. Inaccurate data can lead to inefficiencies and flawed decision-making. Furthermore, financial firms risk regulatory compliance breaches when…

Improving Data Quality in Snowflake using DQLabs
Improving Data Quality in Snowflake using DQLabs
Improving Data Quality in Snowflake using DQLabs 1024 575 DQLabs

Snowflake has changed data warehousing by offering a scalable, secure, and cloud-based platform for organizations to store and analyze massive datasets. Its ease of use and performance capabilities have made it a go-to solution for data-driven businesses across industries. However, just like any powerful tool, the success of projects built on Snowflake relies heavily on…

Data quality and Catalog tools synergy
5 Key Benefits of Data Quality and Data Catalog Integration
5 Key Benefits of Data Quality and Data Catalog Integration 1024 575 DQLabs

Data catalogs and data quality tools are the two core pillars of organizations’ effective data management strategy. Data catalogs enable organizations to discover, understand, and evaluate their data assets for various data and analytics use cases. On the other hand, robust data quality practices ensure that organizations’ data is accurate, complete, consistent, and fresh. This…

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``