Data profiling tools for Greenplum
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.
IBM InfoSphere Information Analyzer
IBM InfoSphere Information Analyzer provides data profiling and analysis to accurately evaluate the content and structure of your data for consistency and quality. 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.
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): | Linux,Windows |
Sensitive data discovery: | |
SQL sources: | |
Statistics of data: | Avg,Stdev |
Tagging data: |
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.
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,Stdev |
Tagging data: |
Toad Data Point
Toad Data Point is a multi-platform database query, data prep, and reporting tool. It lets you visually profile and sample database tables and data sets for patterns, unique values, duplicates, missing information, min./max. values and more.
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: |
Trillium Discovery
Trillium Discovery provides industry-leading data profiling at scale, designed specifically to meet the challenges presented by today’s data environments, with native connectivity to cloud and big data sources to execute data profiling tasks. It lets you visually assess the quality of your data and support data governance with comprehensive profiling, customized to your business
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: | - |
Tagging data: |
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.
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): | Linux |
Sensitive data discovery: | |
SQL sources: | |
Statistics of data: | - |
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: | |
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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: | - |
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.