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Data profiling tools for Snowflake
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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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.
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| Commercial: | Commercial |
| Desktop/Cloud: | Desktop |
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| Runs on: (for desktop): | Linux,Windows |
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| Statistics of data: | Avg,Stdev |
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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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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
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| Commercial: | Commercial |
| Desktop/Cloud: | Cloud |
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Datameer
Datameer is a SaaS solution for data transformation in Snowflake. It provides a rich array of data profiling features to give your users a comprehensive view on their data, including automated visual data profiling, system-generated recommendations, and system- and user-generated data profile information, which includes documentation, properties, comments, tags, and more to provide further context and profile information on the data.
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| Commercial: | Commercial |
| Desktop/Cloud: | Cloud |
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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.
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| Commercial: | Commercial |
| Desktop/Cloud: | Desktop |
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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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| Statistics of data: | Avg,Max,Min,Stdev |
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DQLabs
DQLabs platform has a data profiling platform that is AI-driven and accepts data from multiple sources in different formats if necessary. The user interface is user-friendly and will allow the user to track the data profiling process and make adjustments where they feel it’s necessary. The platform algorithms will detect deep insight into the source data and increase the quality of the profiled data.
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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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| Desktop/Cloud: | Cloud |
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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.