Data quality tools for Salesforce

Data quality tools measure how good and useful a data set is to serve its intended purpose. High quality data can lead to better decision-making and faster insights as well as reduce the costs of identifying and dealing with bad data in the system. It can also save time and allow companies to focus on more important tasks.

Dataedo

Dataedo provides users with a comprehensive tool for maintaining, tracking, and improving data quality. Access selection of 150+ built-in data quality rules or define bespoke data quality rules using SQL queries. Schedule data quality checks for continuous monitoring. Use a DQ dashboard for quick issue detection and trend analysis.

Commercial: Commercial
Data cleansing: No
Data Discovery & Search: Yes
Data Profiling: Yes
Data standarization: No
Free edition: No
Data Quality
Data Profiling
Data Quality insights
Data Quality rules

DQLabs

DQLabs.ai is an augmented data quality platform to manage your entire data quality life cycle. With ML and self-learning capabilities, organizations can measure, monitor, remediate and improve data quality across any type of data – all in one agile, innovative self-service platform.

Commercial: Commercial
Data cleansing: Yes
Data Discovery & Search: Yes
Data Profiling: Yes
Data standarization: No
Free edition: No

WinPure Clean & Match

WinPure Clean & Match is a complete data quality, cleansing, matching, and de-duplication software suite for your mailing lists, databases, spreadsheets, CRM's, etc. It lets you instantly fix data quality issues, as it scans each data list and provides over 30 different statistics ranging from % filled/empty cells to most common values & counts. It also features red & amber coloring to highlight potential data quality issues.

Commercial: Commercial
Data cleansing: Yes
Data Discovery & Search: No
Data Profiling: Yes
Data standarization: Yes
Free edition: Yes

BigID

BigID offers actionable data intelligence by empowering you to find, classify, catalog, profile and get context for all your data in the cloud or data-center, at-rest or in-motion, structured or unstructured at petabyte scale. It lets you identify sensitive data using hundreds of pre-built NLP, Deep Learning, and pattern classifiers.

Commercial: Commercial
Data cleansing: No
Data Discovery & Search: Yes
Data Profiling: Yes
Data standarization: No
Free edition: No

DQ*Plus

DQ*Plus data quality software cleanse data, verify addresses, find and consolidate duplicate records in batch and real-time. It accurately matches duplicate records and intelligently merges them into a single best record.

Commercial: Commercial
Data cleansing: Yes
Data Discovery & Search: No
Data Profiling: No
Data standarization: No
Free edition: No

Informatica Data Quality

Informatica Data Quality ensures end-to-end support for growing data quality needs across users and data types with AI-driven automation. It uses AI-driven insights to automate the most critical tasks and streamline data discovery to increase productivity and effectiveness. It ensures the delivery of high-quality information with data standardization, validation, enrichment, de-duplication, and consolidation capabilities.

Commercial: Commercial
Data cleansing: Yes
Data Discovery & Search: Yes
Data Profiling: Yes
Data standarization: Yes
Free edition: No

Ataccama ONE

Ataccama ONE offers self-driving data quality management by letting you quickly understand the state of your data, validate & improve it, prevent bad data from entering your systems, and continuously monitor data quality.

Commercial: Commercial
Data cleansing: Yes
Data Discovery & Search: Yes
Data Profiling: Yes
Data standarization: Yes
Free edition: Yes

Aperture Data Studio

Aperture Data Studio combines self-service data quality with globally curated data sets into a single data quality platform. This empowers modern data practitioners to build a consistent, accurate, and holistic view of their consumer data quickly and effortlessly. It lets you set custom workflows for data profiling, cleansing, validation, transformation, enrichment, and deduplication.

Commercial: Commercial
Data cleansing: Yes
Data Discovery & Search: Yes
Data Profiling: Yes
Data standarization: Yes
Free edition: No

MIOvantage

MIOvantage is a data quality platform that works alongside your existing systems to provide the best data quality possible. With a single solution, you can profile data, run rules, deduplicate data, identify entities, generate reports, and more.

Commercial: Commercial
Data cleansing: Yes
Data Discovery & Search: No
Data Profiling: Yes
Data standarization: Yes
Free edition: No

Atlan

Atlan uses DataOps to create a new paradigm for building trust in your data. It auto-generates data quality profiles which make detecting bad data dead easy. From automatic variable type detection & frequency distribution to missing values and outlier detection, Atlan offers everything.

Commercial: Commercial
Data cleansing: No
Data Discovery & Search: Yes
Data Profiling: Yes
Data standarization: No
Free edition: No

Collibra Data Quality

Collibra Data Quality lets you use predictive data quality to improve trust in your data. With predictive, continuous, and self-service data quality, you can centralize and automate data quality workflows to gain better control over your organization's end-to-end data pipelines and streamline analytics processes across the enterprise.

Commercial: Commercial
Data cleansing: Yes
Data Discovery & Search: Yes
Data Profiling: No
Data standarization: No
Free edition: No

Oracle Cloud Infrastructure Data Catalog

Oracle Cloud Infrastructure Data Catalog is a metadata management service that helps organizations find and govern data using an organized inventory of data assets across the enterprise. With this self-service solution, data consumers can easily find, understand, govern, and track Oracle Cloud data assets.

Commercial: Commercial
Data cleansing: -
Data Discovery & Search: -
Data Profiling: Yes
Data standarization: -
Free edition: No


Data quality tools are the scripts that support the data quality processes and they heavily rely on identification, understanding, and correction of data errors. Data quality tool enhances the accuracy of the data and helps to ensure good data governance all across the data-driven cycle.

The common functions that each data quality tools must perform are:

• Data profiling
• Data monitoring
• Parsing
• Standardization
• Data enrichment
• Data cleansing

Choosing the right data quality tool is essential and impacts the final results. To help you with the right selection, we prepared a list of tools that will assist you with maintaining a high level of data quality.