Sold by: DQLABS
DQLabs is the Modern Data Quality Platform that enables organizations to observe, measure, discover, and remediate the data that matters. 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.
Overview
DQLabs is a unified platform that excels in automated Data Quality and Data Observability, providing in-depth insights into data health and performance along with integrated full-stack augmented data quality and metadata governance.
It delivers robust data quality measures, rich metadata management, and efficient issue resolution and remediation workflows for seamless data reliability management. The platform offers comprehensive support for automated anomaly detection (250 plus automated checks), enabling rapid identification and resolution of data issues. Alongside, its user-friendly interface and role-based functionalities cater to diverse user needs effectively. Leveraging the power of large language models (LLMs) and Generative AI (GenAI), DQLabs extends its capabilities in advanced data quality checks and enhanced metadata enrichment, consolidating its position as a leading solution in the data quality management domain. The platform is progressing towards the most modern way of data quality processing which is conversational - the platform harnesses the combined power of embedded AI models and now custom LLMs to help the citizen to most advanced users in the conversation way and automating most redundant complex tasks at the click of a button.
Our competitive advantage:
Integrated AI/ML and Semantics-Powered Platform: DQLabs leverages the combination of Observability, Measurement, Discovery, and Remediation into a cohesive AI/ML and semantics powered platform.
Diverse User Applicability: Tailored for a comprehensive audience, including Data Leaders (CDO/CDAOs), Business Stakeholders (Data Governance Leaders), Data Stewards, Data Scientists, Data Analysts, Citizen Users, Data Engineers, and DataOps professionals, DQLabs brings about transformative advantages over competitors.
Comprehensive Data insights: Platforms' primary strengths lie in deep profiling, offering comprehensive insights into data through statistical summaries, pattern analysis, and predictive measures along with quality metrics for each attribute.
Robust Issue Identification and Resolution: DQLabs Platform supports issue identification and resolution at attribute level, table level and pipeline debugging at dataset level supported with rich contextual information actively harmonized and analyzed to support data and metadata drifts. The platform offers rich dashboarding, root-cause analysis, and impact analysis using lineage and semantics.
Customizable Solution Capabilities: DQLabs is not confined to off-the-shelf solutions; it excels in empowering users to define and execute custom workflows, offering a unique blend of out-of-the-box functionalities and customizable features.
Highlights
- Data quality automation: DQLabs Modern Data Quality Platform provides more than 250 out-of-the-box data quality automatic rules that are across Volume, Schema, Freshness, Data Reliability checks, Distribution, Frequency, Statistics, and Pattern matching-based rules. The platform also allows users to define custom rules and apply common monitoring rules for data quality, including rules related to unexpected values, nulls, schema changes, data volumes, data types, value frequencies, and formats.
- AI/ML driven anomaly detection: DQLabs Modern Data Quality Platform has AI-augmented models that are leveraged for Deep profiling, display distribution across value frequency or range frequency, and pattern analysis. DQLabs Modern Data Quality Platform is designed to analyze data in real-time and perform various anomaly detections.
- Self-service data discovery: DQLabs Modern Data Quality Platform, offers a fully semantic Self-service data discovery module that is automated, flexible, and configurable with its native out-of-the-box connectors, automatically enriches business metadata such as classifications, tagging, and ontologies of data mapped to business relationships via visual lineage and upstream/downstream impact/root cause analysis.
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Description | Cost/12 months |
|---|---|---|
DQlabs | DQLabs Platform fee | $140,000.00 |
Dimensions summary
This listing bills through a single platform fee, priced by units. You pay one contract amount scoped to your environment rather than per user, per row, or per data asset. The package delivers the full platform plus one data source connector with unlimited assets, volume, and users, one workflow integration, one data catalog integration, two alert channels, and onboarding and support. You can attach add-ons at any time, such as extra data sources, tenants, cataloging, orchestration compute, or added support hours. Add-ons scale the fee based on the resources and features you choose.
Top-of-mind questions for buyers
Your scope is set by the data source connectors you bring in, not by users, rows, or assets. Each connector includes unlimited assets, volume, and users. You can add tables, datasets, models, or teammates without changing what you pay.
The base fee covers the platform, one data source connector, one workflow integration, one data catalog integration, two alert channels, and onboarding with support. Add-ons include extra data sources, app integrations, added tenants, a non-production sandbox, orchestration compute, added support hours, native cataloging, and custom development.
Any add-on attaches to your existing package at any time and scales the platform fee based on what you choose. You add capacity at your own pace without re-platforming. Assets, volume, and compute are scoped up front, so no charges appear at bill time beyond your quoted amount.
www.dqlabs.ai
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Support
Vendor support
Dedicated support channel for your enterprise clients: We have a dedicated support channel for our enterprise clients. As a global organization, providing superior customer support around the clock is essential to our success. Our Global Support Centers (GSCs), which form the heart of our Product Delivery Operations, are designed to do just that - address our clients' needs and provide high-quality, on-time service and support, irrespective of geographic location or time zone.
Our geographically distributed GSCs are located across major time zones - APAC (India), EMEA (London), and Americas (Pasadena, Boston, New Jersey City NJ, Tampa FL).
Email based support - customersupport@dqlabs.ai
Web-based self-support: DQLabs provides web-based self-support (self-help learnings, self-guided demos, videos, webinars, virtual settings within an organization level, one-on-one, and in-person trainer-led sessions.)
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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