Our Top Picks

Informatica
Informatica Cloud Data Quality
  • Deployment: Web-based, cloud, SaaS
  • Customer Service: Phone during business hours, online
  • Metadata management

Informatica Cloud Data Quality is an integrated data quality system with a self-service interface that lets users cleanse, certify, and examine data. The software solves data challenges for businesses by consistently automating and scaling data profiling.

Informatica Cloud Data Quality offers a data profiling feature that enables users to review source data and understand structure and interrelationships. Data profiling involves collection of descriptive statistics such as min, max, and sum. It also offers a comprehensive data deduplication feature whose aim is to remove duplicate information from a dataset to free up storage space. It helps minimize hidden costs associated with data backup.

Pros & Cons

Pros

  • Integration capabilities
  • Free trial and demo available

Cons

  • Lacks master data management
  • Doesn’t have data discovery

Summary

Informatica
Informatica Cloud Data Quality
  • Starting Price
    • Starting at $2
    • 000/per month
  • Free Trial/Demo
    30-Day Free Trial
    Free Demo
  • Deployment
    Web-Based, Cloud, SaaS
  • Support Options
    Business Hours
    Online
  • Reports
    yes
Features
  • Deployment: Web-based, cloud, SaaS
  • Customer Service: Phone during business hours, online
  • Metadata management
Melissa Clean Suite
Melissa Clean Suite
  • Deployment: Windows, web-based, cloud, SaaS
  • Customer Service: Phone during business hours, 24/7 (live rep), online
  • Data deduplication

Melissa Clean Suite helps clean up data by verifying, standardizing, correcting, and appending users' customer contact records. It improves the quality of CRM data and enriches the company list's contacts. Cleaning up data helps add valuable demographic and firmographic data for effective lead targeting, scoring, and segmentation.

The software offers a comprehensive master data management that improves efficiency by eliminating problems such as unreadable data. This elimination of problems ensures the team has fast and reliable access to any data whenever they want. The integration feature allows businesses to combine data from different sources and offers users a real-time view of their performance.

Pros & Cons

Pros

  • Comprehensive reports
  • Offers a free trial and demo

Cons

  • Lacks metadata management tools
  • Complex pricing structure involving "credits"

Summary

Melissa Clean Suite
Melissa Clean Suite
  • Starting Price
    • Tier 0 (1,000 Credits): Free
    • Tier 1 (10,000 Credits): $30
    • Tier 2 (30,000 Credits): $90
    • Tier 3 (100,000 Credits): $285
    • Tier 4 (500,000 Credits): $1,395
    • Tier 5 (Enterprise Volume): Custom Quote
  • Free Trial/Demo
    30-Day Free Trial
    Free Demo
  • Deployment
    Installed - Windows
    Web-Based, Cloud, SaaS
  • Support Options
    24/7 (Live Rep)
    Business Hours
    Online
  • Reports
    yes
Features
  • Deployment: Windows, web-based, cloud, SaaS
  • Customer Service: Phone during business hours, 24/7 (live rep), online
  • Data deduplication
Sap
SAP Data Management
  • Deployment: Web-based, cloud, SaaS
  • Customer Service: Online
  • Master data management

SAP Data Management offers to manage enterprise data efficiently to optimize analytics and insights and improve business decisions. The software helps companies build a strong foundation for data-driven intelligence with solutions that govern, integrate, and manage company data.

SAP Data Management offers its users a metadata management feature that simplifies data discovery and data heritage. The feature allows companies to create an inventory of data and learn about its transformation across the life cycle. Data discovery allows for pattern detection through analysis.

Pros & Cons

Pros

  • Seamless integration with third-party applications
  • Comprehensive data profiling

Cons

  • Lacks a 24/7 live representative

Summary

Sap
SAP Data Management
  • Starting Price
    • Custom Quote
  • Free Trial/Demo
    Free Demo
  • Deployment
    Web-Based, Cloud, SaaS
  • Support Options
    Online
  • Reports
    yes
Features
  • Deployment: Web-based, cloud, SaaS
  • Customer Service: Online
  • Master data management
Sap
SAS Data Quality
  • Deployment: Web-based, cloud, SaaS
  • Customer Service: Phone during business hours, online
  • Integrations

SAS Data Quality is web-based quality software that lets businesses and companies correct data, organize it in profiles, create custom data rules, and more. It helps users address data quality issues without having to move it. The software gives users the power to update and tweak data if they wish.

The tool offers a data profiling feature that allows the user to validate data against standard measures and customized business rules. The feature helps uncover relationships across tables, databases, and source applications. It also offers a data integration feature that allows the user to transfer information to different locations while improving data consistency.

Pros & Cons

Pros

  • Comprehensive reporting
  • Accurate master data management feature

Cons

  • Lacks a data discovery tool
  • Doesn’t have a data duplication function

Summary

Sap
SAS Data Quality
  • Starting Price
    • Custom Quote
  • Free Trial/Demo
    Free Demo
  • Deployment
    Web-Based, Cloud, SaaS
  • Support Options
    Business Hours
    Online
  • Reports
    yes
Features
  • Deployment: Web-based, cloud, SaaS
  • Customer Service: Phone during business hours, online
  • Integrations
Talend
Talend Open Studio
  • Deployment: Mac, Windows, web-based, cloud, SaaS
  • Customer Service: 24/7 (live rep), phone during business hours, online
  • Data deduplication

Talend Open Studio provides a tool for building quick data pipelines using a drag-and-drop approach. The software is an open source ETL tool for data integration and big data that offers multiple options for connecting different data sources.

The software has a data discovery feature that allows users to access data from anywhere at any time. The module identifies, locates, and classifies data to protect and gain insights from it. It also has a metadata management feature that reinforces consistency through data reuse and redundancy, increasing productivity and reducing the time needed for project implementation.

Pros & Cons

Pros

    • Can be installed on both Mac and Windows
    • Comprehensive master data management

Cons

    • Price is higher compared to other options

Summary

Talend
Talend Open Studio
  • Starting Price
    • Free Trial/Demo
      Free Version
      14-Day Free Trial
    • Deployment
      Installed - Mac
      Installed - Windows
      Web-Based, Cloud, SaaS
    • Support Options
      24/7 (Live Rep)
      Business Hours
      Online
    • Reports
      yes
    Features
    • Deployment: Mac, Windows, web-based, cloud, SaaS
    • Customer Service: 24/7 (live rep), phone during business hours, online
    • Data deduplication

    How We Chose the Best Data Quality Software

    Data quality software is designed to ensure business data is reliable, allowing for better decision-making. The software analyzes different sets of information and identifies incomplete and improperly formatted data. It then profiles the data based on previously set guidelines. The tool ensures businesses maintain high standards of data quality and that the data adheres to industry standards. There are numerous data quality software in the market claiming a host of features and benefits, but not all of them deliver what they promise. We've ranked the top five data quality software of 2021 based on the methodology criteria that matters most to most users, including:

    Data Quality Features

    We recommend software that includes a variety of features for managing data quality, including master data management, data profiling, and data deduplication. Data profiling capabilities are essential for assessing and monitoring data.

    Integrations

    The best software has pre-built integrations for CRM systems and other tools often used together with data quality software. Seamless connectivity to multiple data sources is essential in ensuring as much data as possible is collected.

    Reports

    The best software comes with pre-built reports and scorecards. Detailed reports help the user measure and improve data quality.