SQL Server
Oracle
MySQL
PostgreSQL
Amazon Redshift
Azure SQL Database
DBT
Google Big Query
IBM DB2
MariaDB
SAP HANA
Snowflake
SQLite
Teradata
Vertica
Data quality tools for SAP ASE / Sybase
Data quality tools measure how good and useful a data set is to serve its intended purpose. High quality data can lead to better decision-making and faster insights as well as reduce the costs of identifying and dealing with bad data in the system. It can also save time and allow companies to focus on more important tasks.
Dataedo
Dataedo is a data governance & data catalog tool that helps you ensure data quality while documenting data. It allows you to understand where your data is coming from through data lineage, peak into values itself to validate quality with data profiling, and gather invaluable feedback from the community.
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Trillium Quality
Trillium Quality rapidly transform high-volume, disconnected data into trusted and actionable business insights with scalable enterprise data quality. It has been designed to run natively in cloud or on-premises big data environments, ensuring your business information is integrated, fit-for-purpose, and accessible across the enterprise, regardless of volume.
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SAS Data Quality
SAS Data Quality is a comprehensive tool that meets all the data quality requirements of a business. It makes it easy to profile and identify problems, preview data, and set up repeatable processes to maintain a high level of data quality.
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SAP Master Data Governance
SAP Master Data Governance improves the quality and consistency of information across your organization by consolidating and centrally governing the master data lifecycle. It empowers you to collaboratively describe, catalog, and implement rules for data quality evaluation. Initiate and schedule quality evaluations and manage evaluation results. In addition, you can overview current data quality status and KPIs. In short, it lets you define, monitor, improve data quality.
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Aperture Data Studio
Aperture Data Studio combines self-service data quality with globally curated data sets into a single data quality platform. This empowers modern data practitioners to build a consistent, accurate, and holistic view of their consumer data quickly and effortlessly. It lets you set custom workflows for data profiling, cleansing, validation, transformation, enrichment, and deduplication.
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MIOvantage
MIOvantage is a data quality platform that works alongside your existing systems to provide the best data quality possible. With a single solution, you can profile data, run rules, deduplicate data, identify entities, generate reports, and more.
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CloverDX
CloverDX's data quality features offer you automated data quality and error handling for your workflows. With CloverDX's data quality features, you can discover and deal with bad data fast. You can automate bad data identification & correction, rule definitions, and reports on data quality. In short, CloverDX gives you the ability to make better decisions with more trustworthy data.
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Data quality tools are the scripts that support the data quality processes and they heavily rely on identification, understanding, and correction of data errors. Data quality tool enhances the accuracy of the data and helps to ensure good data governance all across the data-driven cycle.
The common functions that each data quality tools must perform are:
• Data profiling
• Data monitoring
• Parsing
• Standardization
• Data enrichment
• Data cleansing
Choosing the right data quality tool is essential and impacts the final results. To help you with the right selection, we prepared a list of tools that will assist you with maintaining a high level of data quality.