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Data profiling tools for Salesforce
Data Profiling tools allow analyzing, monitoring, and reviewing data from existing databases in order to provide critical insights. Data profiling can help organizations improve data quality and decision-making process by identifying problems and addressing them before they arise.
Dataedo
Dataedo is a metadata management & data catalog tool with a data profiling feature. It allows you to use sample data to learn what data is stored in your data assets. You can browse min, max, average and median values, see top values, as well as value and row distribution to understand the data better before using it.
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| Commercial: | Commercial |
| Desktop/Cloud: | Desktop |
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| Runs on: (for desktop): | Windows |
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| Statistics of data: | Avg,Max,Min,Stdev |
| Tagging data: | - |
Data Ladder
Data Ladder’s DataMatch Enterprise offers one of the easiest to use data profiling tools in the market. It quickly provides enough metadata to construct a cogent profile analysis of data quality and quantifies the scope and depth of necessary add-ons to make the project successful. Once it does the profiling, it proceeds to perform data matching, cleansing, deduplication and standardization, finally achieving data validation.
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| Commercial: | Commercial |
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| Runs on: (for desktop): | Windows |
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| Statistics of data: | Avg,Max,Min |
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Aperture Data Studio
Aperture Data Studio is a powerful and easy-to-use data management suite that helps you quickly and easily profile data to understand deficiencies as an essential first step to cleansing, joining, and validating data. It profiles the complete data set and audits every step in readiness for statutory reporting and enhanced transparency of data and processes, de-risking compliance initiatives.
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| Commercial: | Commercial |
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| Statistics of data: | Avg,Stdev |
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DataRobot Data Prep
DataRobot Data Prep enables both novice and expert users to quickly and interactively explore, profile, clean, enrich and shape diverse data into AI assets ready for machine learning model development and deployment. It offers a visually interactive user interface that presents data in familiar tabular or spreadsheet style with no coding required. DataRobot provides profiles for every record and feature, including how many values are unique or missing and the statistical mean, standard deviation, median, minimum value, and maximum value.
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| Commercial: | Commercial |
| Desktop/Cloud: | Cloud |
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| Statistics of data: | Avg,Max,Min,Stdev |
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Talend Data Fabric
Talend Data Fabric combines data integration, integrity, and governance in a single, unified platform. Talend Data Fabric's capabilities allow you to extract, process, and profile data from virtually any source to your data warehouse. Data profiling lets you quickly identify data quality issues, discover hidden patterns, and spot anomalies through summary statistics and graphical representations.
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| Commercial: | Commercial |
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| Runs on: (for desktop): | Mac OS,Windows |
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Informatica Data Profiling
Informatica’s data profiling solution, Data Explorer, is available in two editions—Standard and Advanced—that employ powerful data profiling capabilities to scan every single data record, from any source, to find anomalies and hidden relationships. It works regardless of complexity or of the relationship between your data sources.
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| Commercial: | Commercial |
| Desktop/Cloud: | Cloud |
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| Statistics of data: | Avg,Max,Min,Stdev |
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WinPure Clean & Match
The Data Profiling / Statistics module within WinPure Clean & Match is a user-friendly and powerful data profiling tool that can help your business to discover patterns and meaning in your data and to check the quality of your data by analyzing formats, types, completeness, and value counts. It presents you with a complete set of statistics that you can use to help clean and correct your data, and to prepare it better for data matching.
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| Commercial: | Commercial |
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Astera Centerprise
Astera Centerprise is an end-to-end data integration software that enables you to integrate, cleanse, and transform data in a code-free environment. Its built-in data profiling feature lets you easily examine your source data and get detailed information about its structure, quality, and integrity. Custom data integration and quality rules can also be defined to validate incoming data and identify missing or invalid records.
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| Commercial: | Commercial |
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MIOvantage
MIOvantage is a single solution platform that lets you profile data, run rules, deduplicate data, identify entities, generate reports, and more. From entity resolution to complex deduplication, MIOvantage builds a better, clearer picture from your data.
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| Commercial: | Commercial |
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DQLabs
DQLabs platform has a data profiling platform that is AI-driven and accepts data from multiple sources in different formats if necessary. The user interface is user-friendly and will allow the user to track the data profiling process and make adjustments where they feel it’s necessary. The platform algorithms will detect deep insight into the source data and increase the quality of the profiled data.
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Global IDs Data Profiling Suite
Global IDs Data Profiling Suite is a data discovery and profiling tool that automates the discovery of data assets, automates data profiling, and provides an active inventory of all data assets.
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| Commercial: | Commercial |
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| Runs on: (for desktop): | Linux |
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Alation Data Catalog
Alation’s data profiling capabilities help reduce the time spent in the data exploration phase. With Alation’s data profile, data consumers have the metrics they need to easily discern the quality of any data object. Alation displays important characteristics, statistics, and numerical graphs about the data — enabling data scientists and data engineers to quickly take action. The data profiling now also includes new charts and customizations.
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Atlan
Atlan automatically profiles your data to identify missing values, outliers & other data anomalies. Data profiles are fully configurable, and admins can schedule data profile updates, run profiles on random/stratified samples or custom filters. Atlan's data profile is an open ecosystem, allowing teams to import data quality metrics from external ecosystems like data pipeline tools for key metrics, such as timeliness, or other internal tools or frameworks.
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The use of data profiling tools can lead to higher-quality, more reliable data or eliminating errors that add costs to data-driven projects. Eliminating these costly errors involve processes such as:
• Collecting descriptive statistics.
• Collecting data types, length and recurring patterns.
• Tagging data with keywords, descriptions or categories.
• Performing data quality assessment.
• Discovering metadata and assessing its accuracy.
The most efficient way of handling the data profiling process is to automate it with a data management solution. We prepared a list of open-source data profiling tools that help you carry out the analysis of your data and identify the issues.