Best Data Quality Software - Page 4
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Compare the Top Data Quality Software as of December 2025 - Page 4
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1
IBM Databand
IBM
Monitor your data health and pipeline performance. Gain unified visibility for pipelines running on cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. An observability platform purpose built for Data Engineers. Data engineering is only getting more challenging as demands from business stakeholders grow. Databand can help you catch up. More pipelines, more complexity. Data engineers are working with more complex infrastructure than ever and pushing higher speeds of release. It’s harder to understand why a process has failed, why it’s running late, and how changes affect the quality of data outputs. Data consumers are frustrated with inconsistent results, model performance, and delays in data delivery. Not knowing exactly what data is being delivered, or precisely where failures are coming from, leads to persistent lack of trust. Pipeline logs, errors, and data quality metrics are captured and stored in independent, isolated systems. -
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Zaloni Arena
Zaloni
End-to-end DataOps built on an agile platform that improves and safeguards your data assets. Arena is the premier augmented data management platform. Our active data catalog enables self-service data enrichment and consumption to quickly control complex data environments. Customizable workflows that increase the accuracy and reliability of every data set. Use machine-learning to identify and align master data assets for better data decisioning. Complete lineage with detailed visualizations alongside masking and tokenization for superior security. We make data management easy. Arena catalogs your data, wherever it is and our extensible connections enable analytics to happen across your preferred tools. Conquer data sprawl challenges: Our software drives business and analytics success while providing the controls and extensibility needed across today’s decentralized, multi-cloud data complexity. -
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NetOwl NameMatcher
NetOwl
NetOwl NameMatcher, the winner of the MITRE Multicultural Name Matching Challenge, offers the most accurate, fast, and scalable name matching available. Using a revolutionary machine learning-based approach, NetOwl addresses complex fuzzy name matching challenges. Traditional name matching approaches, such as Soundex, edit distance, and rule-based methods, suffer from both precision (false positives) and recall (false negative) problems in addressing the variety of fuzzy name matching challenges discussed above. NetOwl applies an empirically driven, machine learning-based probabilistic approach to name matching challenges. It derives intelligent, probabilistic name matching rules automatically from large-scale, real-world, multi-ethnicity name variant data. NetOwl utilizes different matching models optimized for each of the entity types (e.g., person, organization, place) In addition, NetOwl performs automatic name ethnicity detection as well. -
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mediarithmics
mediarithmics
mediarithmics is the modern Customer Data Platform that helps enterprise players revolutionize growth by re-architecting consumer engagement at scale. We power real-time marketing personalization, cookie-less audience monetization, and agile data collaboration within a single technology solution. By de-siloing data across your business, we enable marketing, monetization, product, and data teams to action insights to create more compelling customer experiences. -
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Acceldata
Acceldata
Acceldata is an Agentic Data Management company helping enterprises manage complex data systems with AI-powered automation. Its unified platform brings together data quality, governance, lineage, and infrastructure monitoring to deliver trusted, actionable insights across the business. Acceldata’s Agentic Data Management platform uses intelligent AI agents to detect, understand, and resolve data issues in real time. Designed for modern data environments, it replaces fragmented tools with a self-learning system that ensures data is accurate, governed, and ready for AI and analytics. -
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Secuvy AI
Secuvy
Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via AI-driven workflows. Best in class data intelligence especially for unstructured data. Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via ai-driven workflows. Best in class data intelligence especially for unstructured data. Automated data discovery, customizable subject access requests, user validations, data maps & workflows for privacy regulations such as ccpa, gdpr, lgpd, pipeda and other global privacy laws. Data intelligence to find sensitive and privacy information across multiple data stores at rest and in motion. In a world where data is growing exponentially, our mission is to help organizations to protect their brand, automate processes, and improve trust with customers. With ever-expanding data sprawls we wish to reduce human efforts, costs & errors for handling Sensitive Data. -
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Ab Initio
Ab Initio
Data arrives from every direction, growing in scale and complexity. Hidden in the data is knowledge and insight that is full of potential. Such potential is only fully realized when it permeates through to every decision and action the organization takes, second by second. As the business changes, so does the data itself, resulting in new knowledge and insight. A cycle is formed, learn and adapt. Industries as far ranging as financial services, healthcare, telecommunications, manufacturing, transportation, and entertainment have recognized the opportunity. Getting there is both challenging and exciting. Success demands new levels of speed and agility in understanding, managing, and processing vast amounts of continuously changing data. Complex organizations require a high performance data platform that is built for automation and self-service, that thrives amid change and adapts to new realities, and that can solve the toughest data processing and data management challenges. -
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Q-Bot
bi3 Technologies
Qbot is an Automated test engine, purpose build for data quality. It enabling large, complex data platform but environment & ETL or Database technology agnostic. It can be used for ETL Testing, ETL platform upgrades, Database Upgrades, Cloud migration or Big Data migration Qbot deliver trusted quality data at the speed you never seen before. One of the most comprehensive Data quality automation engines built with: data security, scalability, speed and most extensive test library. Here the user can directly pass the SQL Query while configuring the test group. We currently support the below database servers for source and target database tables. -
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Datactics
Datactics
Profile, cleanse, match and deduplicate data in drag-and-drop rules studio. Lo-code UI means no programming skill required, putting power in the hands of subject matter experts. Add AI & machine learning to your existing data management processes In order to reduce manual effort and increase accuracy, providing full transparency on machine-led decisions with human-in-the-loop. Offering award-winning data quality and matching capabilities across multiple industries, our self-service solutions are rapidly configured within weeks with specialist assistance available from Datactics data engineers. With Datactics you can easily measure data to regulatory & industry standards, fix breaches in bulk and push into reporting tools, with full visibility and audit trail for Chief Risk Officers. Augment data matching into Legal Entity Masters for Client Lifecycle Management. -
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CLEAN_Data
Runner EDQ
CLEAN_Data is a collection of enterprise data quality solutions for managing the challenging and ever changing profiles of employee, customer, vendor, student, and alumni contact data. Our CLEAN_Data solutions are crucial in managing your enterprise data integrity requirements. Whether you are processing your data in real-time, batch, or connecting data systems, Runner EDQ has an integrated data solution your organization can rely on. CLEAN_Address is the integrated address verification solution that corrects and standardizes postal addresses within Oracle®, Ellucian® and other enterprise systems (ERP, SIS, HCM, CRM, MDM). Our seamless integration provides address correction in real-time at the point of entry and for existing data via batch and change of address processing. Real time address verification in all address entry pages using native fields in your SIS or CRM. Integrated batch processing corrects and formats your existing address records. -
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Shinydocs
Shinydocs
Across industries and around the world, organizations are struggling to get a handle on their data. Don’t fall behind; stay ahead of the curve with intelligent solutions. Shinydocs makes it easier than ever to locate, secure and understand your data. We simplify and automate records management processes so people can find what they need when they need it. Most importantly, your employees won’t need additional training or have to change the way they work. Our cognitive suite analyzes all of your data at machine speeds. With its many robust built-in tools, you can demystify your data and get meaningful insights so you can make better business decisions. Our flagship product, Shinydrive helps organizations realize the full potential of its ECM investment and extract 100% of the value of its managed data. We deliver on the promise of ECM and provide the same exceptional execution into Data Management in the cloud. -
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TruEra
TruEra
A machine learning monitoring solution that helps you easily oversee and troubleshoot high model volumes. With explainability accuracy that’s unparalleled and unique analyses that are not available anywhere else, data scientists avoid false alarms and dead ends, addressing critical problems quickly and effectively. Your machine learning models stay optimized, so that your business is optimized. TruEra’s solution is based on an explainability engine that, due to years of dedicated research and development, is significantly more accurate than current tools. TruEra’s enterprise-class AI explainability technology is without peer. The core diagnostic engine is based on six years of research at Carnegie Mellon University and dramatically outperforms competitors. The platform quickly performs sophisticated sensitivity analysis that enables data scientists, business users, and risk and compliance teams to understand exactly how and why a model makes predictions. -
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Typo
Typo
TYPO is a data quality solution that provides error correction at the point of entry into information systems. Unlike reactive data quality tools that attempt to resolve data errors after they are saved, Typo uses AI to proactively detect errors in real-time at the initial point of entry. This enables immediate correction of errors prior to storage and propagation into downstream systems and reports. Typo can be used on web applications, mobile apps, devices and data integration tools. Typo inspects data in motion as it enters your enterprise or at rest after storage. Typo provides comprehensive oversight of data origins and points of entry into information systems including devices, APIs and application users. When an error is identified, the user is notified and given the opportunity to correct the error. Typo uses machine learning algorithms to detect errors. Implementation and maintenance of data rules is not necessary. -
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Datafold
Datafold
Prevent data outages by identifying and fixing data quality issues before they get into production. Go from 0 to 100% test coverage of your data pipelines in a day. Know the impact of each code change with automatic regression testing across billions of rows. Automate change management, improve data literacy, achieve compliance, and reduce incident response time. Don’t let data incidents take you by surprise. Be the first one to know with automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds. Save hours spent on trying to understand data. Use the Data Catalog to find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidation of metadata in one place. -
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Understanding the quality, content and structure of your data is an important first step when making critical business decisions. IBM® InfoSphere® Information Analyzer, a component of IBM InfoSphere Information Server, evaluates data quality and structure within and across heterogeneous systems. It utilizes a reusable rules library and supports multi-level evaluations by rule record and pattern. It also facilitates the management of exceptions to established rules to help identify data inconsistencies, redundancies, and anomalies, and make inferences about the best choices for structure.
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PurpleCube
PurpleCube
Enterprise-grade architecture and cloud data platform powered by Snowflake® to securely store and leverage your data in the cloud. Built-in ETL and drag-and-drop visual workflow designer to connect, clean & transform your data from 250+ data sources. Use the latest in Search and AI-driven technology to generate insights and actionable analytics from your data in seconds. Leverage our AI/ML environments to build, tune and deploy your models for predictive analytics and forecasting. Leverage our built-in AI/ML environments to take your data to the next level. Create, train, tune and deploy your AI models for predictive analysis and forecasting, using the PurpleCube Data Science module. Build BI visualizations with PurpleCube Analytics, search through your data using natural language, and leverage AI-driven insights and smart suggestions that deliver answers to questions you didn’t think to ask. -
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Great Expectations
Great Expectations
Great Expectations is a shared, open standard for data quality. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. We recommend deploying within a virtual environment. If you’re not familiar with pip, virtual environments, notebooks, or git, you may want to check out the Supporting. There are many amazing companies using great expectations these days. Check out some of our case studies with companies that we've worked closely with to understand how they are using great expectations in their data stack. Great expectations cloud is a fully managed SaaS offering. We're taking on new private alpha members for great expectations cloud, a fully managed SaaS offering. Alpha members get first access to new features and input to the roadmap. -
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Accurity
Accurity
With Accurity, the all-in-one data intelligence platform, you get a company-wide understanding and complete trust in your data — speed up business-critical decision making, increase your revenue, reduce your costs, and ensure your company’s data compliance. Equipped with timely, relevant, and accurate data, you can successfully satisfy and engage with your customers, elevating your brand awareness and driving sales conversions. With everything accessible from a single interface, automated quality checks, and data quality issue workflows, you can lower personnel and infrastructure costs, and spend time utilizing your data rather than just managing it. Discover real value in your data by revealing and removing inefficiencies, improving your decision-making processes, and finding valuable product and customer information to boost your company’s innovation. -
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DQ for Dynamics
DQ Global
DQ For Dynamics is a complete data management solution for MS Dynamics CRM. Specifically built to provide you with customer data you can trust. Our software has been designed to provide Dynamics 365 users and CRM admins with the ability to manage and maintain CRM data quality when the out-of-the-box Dynamics tool is just not up to the job and you need more help. DQ for Dynamics works right inside Dynamics 365 to make cleansing Dynamics CRM records easy, you can capture, cleanse and consolidate the records in your system to provide you with a single customer view and make your data fit for business use. Reduce your duplicate review time by up to 4 times when compared to the out-of-the-box merge review. Configure rules, find and then review duplicates with ease in our multi-record review screen. Increase the effectiveness of your marketing campaigns, sales tracking, and end-to-end reporting. Fix the route cause problem to allow for easy segmentation of your CRM data. -
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DQ on Demand
DQ Global
Native to Azure, DQ on Demand™ is architected to provide incredible performance and scalability. Switch data providers with ease and enhance your customer data on a pay-as-you-go basis by plugging straight into our DQ on Demand™ web services, providing you with an easy-to-access data quality marketplace. Many data services are available including data cleansing, enrichment, formatting, validation, verification, data transformations, and many more. Simply connect to our web-based APIs. Switch data providers with ease, giving you ultimate flexibility. Benefit from complete developer documentation. Only pay for what you use. Purchase credits and apply them to whatever service you require. Easy to set up and use. Expose all of our DQ on Demand™ functions right within Excel for a familiar, easy-to-use low-code no-code solution. Ensure your data is cleansed right within MS Dynamics with our DQ PCF controls. -
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DQ for Excel
DQ Global
Improve your customer data in a familiar and easy-to-use context. Simply download your customer data into Microsoft Excel and use our plugin, available in the office store to improve your data quality. Transform data (abbreviate, elaborate, exclude or normalize) in 5 spoken languages and from 12 entity categories. Compare records by scoring their similarity and choose from multiple comparison methods, including Levenshtein, Jaro Winkler, and more. Generate phonetic match keys used for deduplication, including DQ Fonetix™, Soundex, Metaphone, and more. Classify data to identify what a piece of data represents. i.e Brian or Sven is a person name, Road, Strasse or Rue are address elements and Ltd or LLC are company legal suffix. Derive data to obtain a gender from a given name and segment contact data by job roles and decision-making levels derived from a job title. DQ for Excel™ works right inside Microsoft Excel, it’s familiar and simple to use! -
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Firstlogic
Firstlogic
Validate and verify your address data by checking them against official Postal Authority databases. Increase delivery rates, minimize returned mail and realize postal discounts. Connect address datasources to our enterprise-class cleansing transforms. Then, you'll be ready to validate and verify your address data. Increase delivery rates, minimize returned mail and realize postal discounts. Identify individual data elements within your address data and break them out into their component parts. Eliminate common spelling mistakes & format address data to comply with industry standards & improve mail delivery. Confirm an address’s existence against the official USPS address database. Check whether the address is residential or business and if the address is deliverable using USPS Delivery Point Validation (DPV). Merge validated data back to multiple disparate data sources or produce customized output files to use in your organization's workflow. -
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Experian Data Quality
Experian
Experian Data Quality is a recognized industry leader of data quality and data quality management solutions. Our comprehensive solutions validate, standardize, enrich, profile, and monitor your customer data so that it is fit for purpose. With flexible SaaS and on-premise deployment models, our software is customizable to every environment and any vision. Keep address data up to date and maintain the integrity of contact information over time with real-time address verification solutions. Analyze, transform, and control your data using comprehensive data quality management solutions - develop data processing rules that are unique to your business. Improve mobile/SMS marketing efforts and connect with customers using phone validation tools from Experian Data Quality. -
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rudol
rudol
Unify your data catalog, reduce communication overhead and enable quality control to any member of your company, all without deploying or installing anything. rudol is a data quality platform that helps companies understand all their data sources, no matter where they come from; reduces excessive communication in reporting processes or urgencies; and enables data quality diagnosing and issue prevention to all the company, through easy steps With rudol, each organization is able to add data sources from a growing list of providers and BI tools with a standardized structure, including MySQL, PostgreSQL, Airflow, Redshift, Snowflake, Kafka, S3*, BigQuery*, MongoDB*, Tableau*, PowerBI*, Looker* (* in development). So, regardless of where it’s coming from, people can understand where and how the data is stored, read and collaborate with its documentation, or easily contact data owners using our integrations.Starting Price: $0 -
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datuum.ai
Datuum
AI-powered data integration tool that helps streamline the process of customer data onboarding. It allows for easy and fast automated data integration from various sources without coding, reducing preparation time to just a few minutes. With Datuum, organizations can efficiently extract, ingest, transform, migrate, and establish a single source of truth for their data, while integrating it into their existing data storage. Datuum is a no-code product and can reduce up to 80% of the time spent on data-related tasks, freeing up time for organizations to focus on generating insights and improving the customer experience. With over 40 years of experience in data management and operations, we at Datuum have incorporated our expertise into the core of our product, addressing the key challenges faced by data engineers and managers and ensuring that the platform is user-friendly, even for non-technical specialists. -
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Union Pandera
Union
Pandera provides a simple, flexible, and extensible data-testing framework for validating not only your data but also the functions that produce them. Overcome the initial hurdle of defining a schema by inferring one from clean data, then refine it over time. Identify the critical points in your data pipeline, and validate data going in and out of them. Validate the functions that produce your data by automatically generating test cases for them. Access a comprehensive suite of built-in tests, or easily create your own validation rules for your specific use cases. -
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Qualytics
Qualytics
Helping enterprises proactively manage their full data quality lifecycle through contextual data quality checks, anomaly detection and remediation. Expose anomalies and metadata to help teams take corrective actions. Automatically trigger remediation workflows to resolve errors quickly and efficiently. Maintain high data quality and prevent errors from affecting business decisions. The SLA chart provides an overview of SLA, including the total number of SLA monitoring that have been performed and any violations that have occurred. This chart can help you identify areas of your data that may require further investigation or improvement. -
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Aggua
Aggua
Aggua is a data fabric augmented AI platform that enables data and business teams Access to their data, creating Trust and giving practical Data Insights, for a more holistic, data-centric decision-making. Instead of wondering what is going on underneath the hood of your organization's data stack, become immediately informed with a few clicks. Get access to data cost insights, data lineage and documentation without needing to take time out of your data engineer's workday. Instead of spending a lot of time tracing what a data type change will break in your data pipelines, tables and infrastructure, with automated lineage, your data architects and engineers can spend less time manually going through logs and DAGs and more time actually making the changes to infrastructure. -
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DQE One
DQE
Customer data is omnipresent in our lives, cell phones, social media, IoT, CRM, ERP, marketing, the works. The data companies capture is overwhelming. But often under-leveraged, incomplete or even totally incorrect. Uncontrolled and low-quality data can disorganize any company, risking major opportunities for growth. Customer data needs to be the point of synergy of all a company’s processes. It is absolutely critical to guarantee the data is reliable and accessible to all, at all times. The DQE One solution is for all departments leveraging customer data. Providing high-quality data ensures confidence in every decision. In the company's databases, contact information from multiple sources pile up. With data entry errors, incorrect contact information, or gaps in information, the customer database must be qualified and then maintained throughout the data life cycle so it can be used as a reliable repository. -
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DataGalaxy
DataGalaxy
DataGalaxy is a next-generation data governance and intelligence platform designed to help organizations manage, understand, and maximize the value of their data. Built around a unified interface, it empowers everyone—from executives to data consumers—to collaborate seamlessly across data assets, strategies, and analytics. The platform’s automated data catalog, governance hub, and AI co-pilot reduce manual work while ensuring compliance and data quality across systems. With over 70+ integrations, including Snowflake, Databricks, Power BI, and AWS, DataGalaxy connects your data ecosystem into a single source of truth. Its value tracking center and strategy cockpit align data initiatives with business goals, driving measurable outcomes and enterprise-wide visibility. Loved by users, DataGalaxy turns governance into a strategic advantage for the modern enterprise.
