Data profiling tools for Apache Hive

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: Yes
Commercial: Commercial
Desktop/Cloud: Desktop
Excel workbooks: Yes
Flat files: Yes
Free edition: No
Metadata identification: Yes
NoSQL sources: Yes
Runs on: (for desktop): Windows
Sensitive data discovery: Yes
SQL sources: Yes
Statistics of data: Avg,Max,Min,Stdev
Tagging data: -
Dataedo Data Profiling
Data Profiling in Desktop

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.

Access control: Yes
Commercial: Commercial
Desktop/Cloud: Cloud
Excel workbooks: Yes
Flat files: No
Free edition: No
Metadata identification: Yes
NoSQL sources: No
Runs on: (for desktop): -
Sensitive data discovery: Yes
SQL sources: Yes
Statistics of data: Avg,Stdev
Tagging data: Yes

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: No
Commercial: Commercial
Desktop/Cloud: Desktop
Excel workbooks: Yes
Flat files: Yes
Free edition: No
Metadata identification: Yes
NoSQL sources: Yes
Runs on: (for desktop): Linux
Sensitive data discovery: Yes
SQL sources: Yes
Statistics of data: -
Tagging data: Yes

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: Yes
Commercial: Commercial
Desktop/Cloud: Desktop
Excel workbooks: Yes
Flat files: Yes
Free edition: No
Metadata identification: Yes
NoSQL sources: Yes
Runs on: (for desktop): Linux,Windows
Sensitive data discovery: Yes
SQL sources: Yes
Statistics of data: Avg,Stdev
Tagging data: Yes

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: No
Commercial: Commercial
Desktop/Cloud: Desktop
Excel workbooks: Yes
Flat files: Yes
Free edition: No
Metadata identification: No
NoSQL sources: Yes
Runs on: (for desktop): Windows
Sensitive data discovery: No
SQL sources: Yes
Statistics of data: Avg,Stdev
Tagging data: Yes

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: No
Commercial: Commercial
Desktop/Cloud: Desktop
Excel workbooks: Yes
Flat files: Yes
Free edition: No
Metadata identification: Yes
NoSQL sources: Yes
Runs on: (for desktop): Mac OS,Windows
Sensitive data discovery: No
SQL sources: Yes
Statistics of data: -
Tagging data: Yes

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: No
Commercial: Commercial
Desktop/Cloud: Desktop
Excel workbooks: Yes
Flat files: Yes
Free edition: No
Metadata identification: Yes
NoSQL sources: Yes
Runs on: (for desktop): Windows
Sensitive data discovery: No
SQL sources: Yes
Statistics of data: Avg,Max,Min,Stdev
Tagging data: Yes

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: No
Commercial: Commercial
Desktop/Cloud: Cloud
Excel workbooks: Yes
Flat files: Yes
Free edition: No
Metadata identification: Yes
NoSQL sources: Yes
Runs on: (for desktop): -
Sensitive data discovery: No
SQL sources: Yes
Statistics of data: Avg,Max,Min,Stdev
Tagging data: Yes

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: No
Commercial: Commercial
Desktop/Cloud: Cloud
Excel workbooks: No
Flat files: Yes
Free edition: No
Metadata identification: Yes
NoSQL sources: Yes
Runs on: (for desktop): -
Sensitive data discovery: No
SQL sources: Yes
Statistics of data: -
Tagging data: No

Kylo

Kylo is an open source enterprise-ready data lake management software platform. It lets you search and explore data and metadata, view lineage, and profile statistics. In addition, it offers self-service data ingest with data cleansing, validation, and automatic profiling.

Access control: No
Commercial: Free
Desktop/Cloud: Cloud
Excel workbooks: No
Flat files: Yes
Free edition: Yes
Metadata identification: Yes
NoSQL sources: No
Runs on: (for desktop): -
Sensitive data discovery: No
SQL sources: Yes
Statistics of data: Avg,Max,Min,Stdev
Tagging data: Yes

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: No
Commercial: Free
Desktop/Cloud: Desktop
Excel workbooks: Yes
Flat files: Yes
Free edition: Yes
Metadata identification: No
NoSQL sources: Yes
Runs on: (for desktop): Linux,Mac OS,Windows
Sensitive data discovery: No
SQL sources: Yes
Statistics of data: -
Tagging data: No

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: No
Commercial: Commercial
Desktop/Cloud: Cloud
Excel workbooks: No
Flat files: Yes
Free edition: No
Metadata identification: Yes
NoSQL sources: Yes
Runs on: (for desktop): -
Sensitive data discovery: Yes
SQL sources: Yes
Statistics of data: -
Tagging data: Yes

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.