Data Quality (DQ) Tools

Data Quality

What is Data Quality Tools?

Data quality tools are used to profile data, monitor data completeness through the use of dashboards, remove duplicate records through fuzzy matching, verify the correctness of customer and contact data, and fix other data quality issues.

Common Features

  • Record Deduplication
  • Record Management
  • Data Enrichment
  • Dashboard
  • Data Cleansing
  • Data Monitoring and Administration
  • Data Matching
  • Data Integrity
  • Data Profiling
  • Geocoding
  • Reporting Components
  • Data Source Connectivity
  • Usability

Top Data Quality (DQ) Tools

2024 Data Quadrant Awards

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At SoftwareReviews, we take pride in recognizing excellence. Each year, we present the Data Quadrant Awards to top-performing software products based solely on authentic user reviews, without any paid placements or analyst opinions. These awards highlight software products that excel in terms of features, vendor capabilities, and customer relationships, earning them the highest overall rankings.

At SoftwareReviews, we take pride in recognizing excellence. Each year, we present the Emotional Footprint Awards to top-performing software products based solely on authentic user reviews, without any paid placements or analyst opinions. These awards shine a spotlight on software vendors who excel in crafting and nurturing strong customer relationships.

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Products: 14
Next Award: Apr 2025

Top Data Quality Tools 2024

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Composite Score
9.4 /10
CX Score
9.6 /10

PiLog's Intelligent Data Quality Management solution provides end-to-end Data Quality Management for enterprises. it automates standardization, cleansing & management of unstructured/free text data by utilizing ASA (Auto Structured Algorithms) built on PiLog's taxonomy and the catalog repositories of master data records. It also provides pre-configured templates, Auto Assignment of Class & Characteristics, and is fully compliant with ISO 8000, UNSPSC, and various other standards.

Scorecard
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Pros

  • Helps Innovate
  • Continually Improving Product
  • Reliable
  • Performance Enhancing
Badge Winner
Badge Winner
SAS Institute Inc.

SAS Data Quality

Composite Score
9.0 /10
CX Score
9.2 /10

Since SAS puts data quality at the core of everything, you know you’re getting the best technology on the market.

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Scorecard

Pros

  • Trustworthy
  • Efficient Service
  • Respectful
  • Acts with Integrity
Badge Winner
Badge Winner
Composite Score
8.7 /10
CX Score
9.0 /10

Talend Data Quality delivers trusted data everywhere with easy onboarding, standards and rules application across all Talend integration platforms. Data is enriched, protected, and available.

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Pros

  • Helps Innovate
  • Trustworthy
  • Unique Features
  • Efficient Service
Badge Winner
Badge Winner
Composite Score
8.3 /10
CX Score
8.3 /10

Melissa Data Quality Suite leverages 35+ years of deep domain expertise in address management, data quality and identity verification to ensure your data is clean, accurate and fit for purpose. Easily validate, parse, standardize, match, and enrich customer data with global address verification, email validation, phone verification and name verification. With flexible on-premise and Cloud/SaaS deployment models, the Data Quality Suite is customizable to every environment and will empower your organization to unlock the full potential of your data.

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Pros

  • Enables Productivity
  • Respectful
  • Performance Enhancing
  • Reliable
Badge Winner
Badge Winner
ZoomInfo Technologies Inc

Zoominfo OperationsOS

Composite Score
8.2 /10
CX Score
8.4 /10

RingLead offers a complete end-to-end suite of products to clean, protect and enhance company and contact information, leading to improved organizational efficiency, reliable business intelligence, and maximized ROI on CRM and marketing automation investments.

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Pros

  • Performance Enhancing
  • Enables Productivity
  • Saves Time
  • Respectful
Badge Winner
Badge Winner
Composite Score
8.0 /10
CX Score
8.2 /10

Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data resulting in trustworthy master data that integrates with applications to improve business insight.

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Pros

  • Respectful
  • Enables Productivity
  • Friendly Negotiation
  • Trustworthy
Composite Score
8.0 /10
CX Score
8.3 /10

Ensure end-to-end support for growing data quality needs across users and data types with AI-driven automation.

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Pros

  • Enables Productivity
  • Security Protects
  • Reliable
  • Unique Features
Alteryx

Alteryx

Composite Score
8.0 /10
CX Score
8.5 /10

Alteryx provides a single workflow for data blending, analytics, and reporting. This workflow allows the seamless blending of internal, third party and cloud-based data, and simple analysis using 60+ prebuilt tools for spatial and predictive analytics.

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Pros

  • Reliable
  • Performance Enhancing
  • Enables Productivity
  • Trustworthy
Composite Score
8.0 /10
CX Score
8.1 /10

SQL Server Data Quality Services (DQS) is a knowledge-driven data quality product. DQS enables you to build a knowledge base and use it to perform a variety of critical data quality tasks, including correction, enrichment, standardization, and de-duplication of your data. DQS enables you to perform data cleansing by using cloud-based reference data services provided by reference data providers. DQS also provides you with profiling that is integrated into its data-quality tasks, enabling you to analyze the integrity of your data.

Pros

  • Helps Innovate
  • Reliable
  • Trustworthy
  • Unique Features
Composite Score
7.8 /10
CX Score
8.0 /10

Unlock meaning from all of your organization’s data – structured or unstructured – with SAP Data Services. This data management software provides best-in-class functionality for data integration, quality, cleansing, and more. Ensure end-to-end support for growing data quality needs across users and data types with AI-driven automation.

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Pros

  • Caring
  • Efficient Service
  • Saves Time
  • Reliable
Badge Winner
Badge Winner