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Data profiling tools for Google Big Query
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.
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| Commercial: | Commercial |
| Desktop/Cloud: | Desktop |
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| Runs on: (for desktop): | Windows |
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| Statistics of data: | Avg,Max,Min,Stdev |
| Tagging data: | - |
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.
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| Commercial: | Commercial |
| Desktop/Cloud: | Cloud |
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| Statistics of data: | Avg,Stdev |
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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.
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| Commercial: | Commercial |
| Desktop/Cloud: | Desktop |
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| Runs on: (for desktop): | Linux |
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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.
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| Commercial: | Commercial |
| Desktop/Cloud: | Desktop |
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| Runs on: (for desktop): | Windows |
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| Statistics of data: | Avg,Max,Min |
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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.
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| Commercial: | Commercial |
| Desktop/Cloud: | Cloud |
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| Statistics of data: | Avg,Max,Min,Stdev |
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OpenDQ
OpenDQ integrates data profiling, standardization, enhancement, fuzzy matching, and de-duplication components with enterprise-class data extraction, transformation, and loading software, to create a comprehensive and complete view of enterprise data. It lets you identify your data’s current state, resolve missing values/erroneous values, discover formats and patterns, reveal hidden business rules, report on column minimums, averages, and maximums, measure business rule compliance across data sets, and provide point in time data profiling history.
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| Commercial: | Free |
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| Statistics of data: | Avg,Max,Min |
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Trifacta
Trifacta is an open and interactive cloud platform for data engineers and analysts to collaboratively profile, prepare, and pipeline data for analytics and machine learning. For ease of data profiling, Trifacta automatically identifies dataset formats, schemas, specific attributes, and relationships across attributes and datasets, along with associated metadata for each dataset.
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| Commercial: | Commercial |
| Desktop/Cloud: | Cloud |
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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.
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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.