Data profiling tools for SAP ASE / Sybase
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: | - |
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: |
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: | |
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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: |
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: | |
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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: |
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.
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: | - |
Tagging data: |
SAS Data Quality
SAS Data Quality gives you a single interface to manage the entire data quality life cycle: profiling, standardizing, matching, and monitoring. It lets you validate data against standard measures and customized business rules. Uncover relationships across tables, databases, and source applications. Verify that the data in your tables matches the appropriate description. Establish trends and commonalities in business information and examine numerical trends via mean, median, mode, and standard deviation.
It makes it easy to profile and identify problems, preview data, and set up repeatable processes to maintain a high level of data quality.
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,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: | |
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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.