I find DQLabs to be a modern and innovative data quality platform that effectively caters to all core areas of data quality, which I deeply appreciate. The platform provides both basic and advanced capabilities, allowing customers to implement it methodically and scale it as needed. I love that DQLabs offers rich data quality (DQ) capabilities expected of a high-quality data quality toolset. Its extensive features ranging from data profiling to observability and real-time anomaly detection are incredibly beneficial. I am particularly impressed with its support for unstructured data of all types and seamless connectivity with both legacy and modern applications at the click of a button. The product also excels by automatically categorizing data assets using a semantic layer and domain tagging, making navigation and data quality analysis straightforward. I appreciate its user-friendly nature, which simplifies usage significantly compared to other platforms. The initial setup of DQLabs was easy, which adds to its appeal, making it an intuitive option for my team. Review collected by and hosted on G2.com.

It is good. Review collected by and hosted on G2.com.

I find DQLabs immensely valuable as it streamlines our data governance by granting full visibility into data lineage and monitoring data quality continuously. The platform's automation in identifying data quality issues and the application of remediation rules have been a significant time saver, reducing the hours spent on these tasks. I love how DQLabs learns our patterns through AI/ML-powered anomaly detection combined with predefined, out-of-the-box data quality issues, making our data reliable across the enterprise. The automation of manual tasks and the proactive identification of 'unknown unknown' issues are particularly remarkable, along with the ability to prioritise alerts based on their severity. The integration capabilities with other tools also enhance its functionality, and the support from the team from the initial setup through going live was incredibly supportive, ensuring a smooth transition from our previous product. Review collected by and hosted on G2.com.

I really cannot think of anything as DQLabs address all our company needs. Review collected by and hosted on G2.com.

I really appreciate DQLabs for its holistic approach to data quality which strategically supports my organization’s data intelligence efforts. The platform's modern data quality capabilities, particularly its automated observability, discovery, and semantic rule models, are impressive as they cater to a multitude of use cases across our organization. This ensures continuous data trust and delivers actionable insights with instant issue detection, greatly enhancing our data management efficiency. Additionally, I find DQLabs easy to use, especially with its low-code design that allows even business users to utilize it effectively. The easy initial setup, combined with excellent support from the CX team, ensures a seamless experience. Overall, DQLabs stands out as a beneficial asset in improving our data quality strategies, which is why I am very likely to recommend it to others. Review collected by and hosted on G2.com.

I need more real-time customer use cases to help the platform mature further Review collected by and hosted on G2.com.

I find DQLabs to be an incredibly user-friendly platform that caters to both technical and business users, making it accessible and intuitive for a wide range of team members. I am particularly impressed with its standout features in semantics and data governance, which significantly enhance the data management experience. One of the exceptional aspects is the anomaly detection feature, which is flexible as it does not limit me to AI or ML configurations; instead, I can manually select thresholds based on specific data quality requirements. The customization options available for data quality rules are outstanding, allowing me to tailor them to my organization's needs. In addition, DQLabs provides out-of-the-box data quality rules and no-code DQ checks, empowering me to configure these rules both at the platform and asset levels easily. Moreover, the platform consistently evolves with every release, ensuring regular improvements and new features. The initial setup was straightforward and completed within three months, thanks to the supportive customer team who assisted during the installation process. My overall experience with DQLabs has been positive, and I would highly recommend it, as reflected by my strong willingness to give it a recommendation score of 10. Review collected by and hosted on G2.com.

It is good. Review collected by and hosted on G2.com.

DQLabs' Data Observability platform, which is proficient at detecting and fixing issues before they impact my business operations. I value its capability to accelerate Data Quality frameworks, which is crucial in maintaining the integrity of data processes. The platform's out-of-the-box capabilities are excellent and offer robust dashboarding that provides insightful data visualization. Moreover, DQLabs offers a no-code experience for many of the data quality tasks, making it highly accessible without the need for complex technical knowledge. The initial setup was straightforward and simple, aided greatly by a customer support team that was helpful throughout the process. I also use DQLabs alongside tools like Airflow, which complements its functionalities well. Review collected by and hosted on G2.com.

I find that the configurations in DQLabs could be better documented\ Review collected by and hosted on G2.com.

I love DQLabs because it offers great features and functionalities. Its core data quality features, like deep profiling, are remarkable, and it seamlessly integrates with our data intelligence, expanding our data quality and observability capabilities to support our data governance and marketplace programs. The exceptional customer support provided by the DQLabs team truly stands out as they guide us from the initial stages all the way to going live, making the process smooth and stress-free. Moreover, the initial setup of DQLabs was easy, which significantly enhances our experience as it saves time and reduces the complexity typically associated with new software implementations. DQLabs also works well with Snowflake, which aligns perfectly with our data needs, and its overall effectiveness and utility make it a standout solution in the data management landscape. Review collected by and hosted on G2.com.

We did not find anything like that. It is good in the feature standpoint. Review collected by and hosted on G2.com.

I find DQLabs incredibly valuable for addressing data quality issues, as it significantly reduces manual data checks, which saves me time and effort. The platform's semantics capability is outstanding; it automatically discovers and enriches metadata with meaningful business context, ensuring a high level of data quality. I particularly like that DQLabs is an integrated platform providing observability, cataloging, and quality, making it user-friendly and suitable for both technical and business personas. Its observability features allow for comprehensive data and pipeline monitoring, and the business-level data quality checks come with out-of-the-box and no-code custom rules. Additionally, the semantic layer adds business context to datasets, facilitating easy discovery and exploration. The initial setup was also simple and quick, taking less than three weeks to complete. DQLabs seamlessly integrates with tools like dbt and Airflow for pipeline orchestration, further enhancing its utility. I appreciate the comprehensive feature set that accommodates my needs without requiring extensive manual intervention, and the platform's ability to provide strong data observability was a key reason for switching from Collibra. Review collected by and hosted on G2.com.

It is good product feature standpoint. Review collected by and hosted on G2.com.

The recommend AI suggests the most relevant quality measures for each data attributes by analyzing profiling metrics. It takes the guesswork out of rule configuration and ensures I am covering all necessary bases for key dimensions like accuracy, uniqueness or completeness. It is easy to use and it makes my team to work without any complications and the integration is also best as it work effortless. The speed an consistency gained from these AI driven capabilities have noticeably accelerated our team's ability to identify, remediate and prevent issues. Review collected by and hosted on G2.com.

Nothing major comes to mind and my experience has been positive overall. Review collected by and hosted on G2.com.

I appreciate how DQLabs provides a collaborative environment for a holistic vision of data quality. It seamlessly integrates with our data intelligence, expanding data quality and observability capabilities, enabling a comprehensive data governance and marketplace program. I love that the platform offers more than 100 rules to automatically detect semantics types, which are then evaluated based on context-appropriate measures. The data observability dashboards are incredibly useful, allowing us to easily detect quality deviations and comply with various evaluations of data quality dimensions. The initial setup was very easy due to the great assistance from their customer support team. Review collected by and hosted on G2.com.

There are many simple configurations that could benefit from better documentation. Review collected by and hosted on G2.com.

I love using DQLabs for its strong data governance capabilities which have become indispensable for us. The platform's automated data quality checks and AI-powered anomaly alerts are noteworthy, as they allow me to quickly resolve data quality issues and simplify my daily tasks significantly. It effectively streamlines workflows and enhances our team’s trust in our data. The AI-driven automation and semantic intelligence are standout features, making it a user-friendly tool even for non-technical users. Additionally, the integration of DQLabs with Snowflake is seamless, ensuring a unified and efficient data management system. Review collected by and hosted on G2.com.

I find that the product documentation for DQLabs could be more detailed. Review collected by and hosted on G2.com.