Data profiling tools for Vertica

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

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.

Access control: Yes
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

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

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: 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,Mac OS,Windows
Sensitive data discovery: No
SQL sources: Yes
Statistics of data: Avg,Max,Min,Stdev
Tagging data: No

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

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.