Data profiling tools for JSON
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.
Access control: | |
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Commercial: | Commercial |
Desktop/Cloud: | Desktop |
Excel workbooks: | |
Flat files: | |
Free edition: | |
Metadata identification: | |
NoSQL sources: | |
Runs on: (for desktop): | Windows |
Sensitive data discovery: | |
SQL sources: | |
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.
Access control: | |
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Commercial: | Commercial |
Desktop/Cloud: | Desktop |
Excel workbooks: | |
Flat files: | |
Free edition: | |
Metadata identification: | |
NoSQL sources: | |
Runs on: (for desktop): | Windows |
Sensitive data discovery: | |
SQL sources: | |
Statistics of data: | Avg,Max,Min |
Tagging data: |
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.
Access control: | |
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Commercial: | Commercial |
Desktop/Cloud: | Desktop |
Excel workbooks: | |
Flat files: | |
Free edition: | |
Metadata identification: | |
NoSQL sources: | |
Runs on: (for desktop): | Mac OS,Windows |
Sensitive data discovery: | |
SQL sources: | |
Statistics of data: | - |
Tagging data: |
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.
Access control: | |
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Commercial: | Commercial |
Desktop/Cloud: | Cloud |
Excel workbooks: | |
Flat files: | |
Free edition: | |
Metadata identification: | |
NoSQL sources: | |
Runs on: (for desktop): | - |
Sensitive data discovery: | |
SQL sources: | |
Statistics of data: | Avg,Max,Min,Stdev |
Tagging data: |
TIBCO Clarity
TIBCO Clarity is data preparation, profiling, and cleansing tool. It detects data patterns and data types for auto-metadata generation. You can profile row and column data for completeness, uniqueness, and variation. Predefined facets categorize data based on text occurrences and text patterns. You can use the numeric distributions to identify variations and outliers in the data.
Access control: | |
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Commercial: | Commercial |
Desktop/Cloud: | Cloud |
Excel workbooks: | |
Flat files: | |
Free edition: | |
Metadata identification: | |
NoSQL sources: | |
Runs on: (for desktop): | - |
Sensitive data discovery: | |
SQL sources: | |
Statistics of data: | Avg,Max,Min,Stdev |
Tagging data: |
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.
Access control: | |
---|---|
Commercial: | Commercial |
Desktop/Cloud: | Desktop |
Excel workbooks: | |
Flat files: | |
Free edition: | |
Metadata identification: | |
NoSQL sources: | |
Runs on: (for desktop): | Windows |
Sensitive data discovery: | |
SQL sources: | |
Statistics of data: | Avg,Max,Min |
Tagging data: |
DataCleaner
The heart of DataCleaner is a strong data profiling engine for discovering and analyzing the quality of your data. Find the patterns, missing values, character sets and other characteristics of your data values.
Access control: | |
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Commercial: | Free |
Desktop/Cloud: | Desktop |
Excel workbooks: | |
Flat files: | |
Free edition: | |
Metadata identification: | |
NoSQL sources: | |
Runs on: (for desktop): | Linux,Mac OS,Windows |
Sensitive data discovery: | |
SQL sources: | |
Statistics of data: | - |
Tagging data: |
CloverDX
CloverDX Data Profiler is a CloverDX module that lets you perform various analyses of your data. It is a part of CloverDX Designer and helps to do various profiling tasks, such as finding the maximum value, median, the most unique value, and many others.
Access control: | |
---|---|
Commercial: | Commercial |
Desktop/Cloud: | Desktop |
Excel workbooks: | |
Flat files: | |
Free edition: | |
Metadata identification: | |
NoSQL sources: | |
Runs on: (for desktop): | Linux,Mac OS,Windows |
Sensitive data discovery: | |
SQL sources: | |
Statistics of data: | Avg,Max,Min,Stdev |
Tagging data: |
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.
Access control: | |
---|---|
Commercial: | Commercial |
Desktop/Cloud: | Cloud |
Excel workbooks: | |
Flat files: | |
Free edition: | |
Metadata identification: | |
NoSQL sources: | |
Runs on: (for desktop): | - |
Sensitive data discovery: | |
SQL sources: | |
Statistics of data: | - |
Tagging data: |
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.