Data is essential for most industries, particularly those that rely on it, such as banking, insurance, retail, telecoms, and other data-intensive fields. It is important to ensure that data management is error-free. This article provides the top 10 data cleaning tools.
What is Data Cleansing?
Data cleansing or data scrubbing is essential for editing or removing data from a database. It can be difficult to go through the zillions upon zillions in data by hand. This makes data cleaning tools even more important than in analytics-driven organizations that systematically review data for flaws using algorithms, rules, and look-up tables.
This list contains 10 top data cleaning tools to help you keep your data consistent and clean so that you can make informed decisions visually and statistically. Some of the data cleaning these tools may have a free trial, but others might be charged.
Top 10 Data Cleaning Tools
This powerful tool, formerly known as Google Refine was used to clean up and transform messy data. This tool is a great choice for anyone looking for open-source data cleansing software and tools. It can also convert data from one format into another. This allows you to explore large data sets quickly, match and reconcile data, and clean and transform faster.
2 Trifacta Wrangler
It is an interactive tool that allows data transformation and cleaning. This venture was started by the Data Wrangler developers. This tool is faster in formatting and focuses more on data analysis. Data analysts can use it to quickly and accurately clean and prepare diverse and messy data. Machine learning algorithms help prepare data by suggesting common transformations or aggregations. This is also free.
This easy-to-use, extensible, text-based data workflow allows you to define data processing steps along with their inputs, outputs, and dependencies. It can then automatically resolve these dependencies and calculate which command to execute in what order. This tool is specifically designed for data workflow management. It organizes command execution around data and their dependencies.
4 TIBCO Clarity
This data cleaning tool offers on-demand software services from the web in the form of Software-as-a-service. It allows users to validate data and perform deduplication and cleaning addresses. This helps identify trends quickly and makes smarter decisions. It can standardize data from different sources, providing high-quality data that is easy to analyze.
This data cleaning tool is very popular. It can clean large amounts of data and remove duplicates. It can clean data from spreadsheets, CRMs, databases, and other formats. It is compatible with databases such as Access, Dbase, and SQL Server. It has many key features, including advanced data cleansing, fuzzy matching, fast data scrubbing software, and a multi-language edition.
6 Data Ladder
It provides DataMatch Enterprise and DataMatch Enterprise which are affordable data cleaning and data quality tools. The advanced fuzzy matching algorithms allow for the matching of up to 100,000,000 records and it has the fastest matching speed and accuracy in the industry. These tools are easy to use and can be used by businesses of any size or industry to simplify their data cleansing process.
7 Data Cleaner
Quadient Data Cleaner can be used to analyze the data quality and make better business decisions. This tool can identify missing values, patterns, and other characteristics within a data set, providing better results. It is a powerful profiling engine that can detect duplicates by fuzzy logic and create a single version. You can also create your own cleansing rules, and combine them into multiple scenarios for target databases.
The Salesforce data cleansing tool removes duplicates and cleans records. It also maintains data quality in one place. This tool is ideal for businesses of any size, as it allows bulk data updates and imports to be cleaned before Salesforce can access them. Its automation capabilities make sure that data is constantly scanned for errors. Its simplicity is one of its best features. You can delete and update old records, add new records to your database, or automate according to a schedule.
Reifier by Nube Technologies uses Spark to resolve distributed entities, deduplication, and link records. It employs machine-learning algorithms to offer the best entity resolution and fuzzy matching in a distributed architecture.
10 IBM Infosphere Quality Level
It is a data cleansing tools and software solution that supports data quality. it is easy to manage database cleansing. You can also create consistent views of the most important units, such as vendors, customers, and products. It is capable of delivering high-quality data for big data, Business Intelligence, data warehouse, master data management, etc.