10 Best Data Cleaning Services: In-depth Analysis

on Data Integration, ETL • February 6th, 2021 • Write for Hevo

Do you wish to understand what data cleaning is and how it works? Do you want an in-depth analysis of the best Data Cleaning Services? If yes, then you’ve come to the right place.

Today, most industries rely on data for decision-making. Industries like banking, insurance, telecom, retail, and others generate a lot of data. This data is typically analyzed to draw insights that can be good for predicting future trends. To draw accurate insights from data, companies must ensure that their data is error-free and hence, require some form of data cleansing to handle incomplete, poorly formatted, duplicate, or noisy data. It is impossible for any company to scan through zillions of records of data manually to solve such issues. This explains the importance of having Data Cleaning Services in your company. 

This article will give an in-depth analysis of various Data Cleaning Services that you can use to clean your data.

Table of Contents

Introduction to Data Cleaning

Data Cleaning Cycle
Image Source: http://www.datacleansing.net.au/

Insights from any analysis are only as good as the data you’re using. Garbage data in means garbage insights out. Data cleansing, also known as data scrubbing or data cleansing, is an essential step for your enterprise if your goal is to cultivate a culture around quality evidence-based decision making. 

It is the process of fixing or removing incorrect, duplicate, incorrectly formatted, corrupted, or incomplete data within a dataset. When gathering data from multiple data sources into a data warehouse, there are high chances for the data being mislabeled or duplicated. If the data is incorrect, algorithms and outcomes will be unreliable. Note that there is no absolute way to prescribe the data cleaning process since it will always vary from one dataset to another. However, it will be vital for you to come up with a template on how to perform data cleaning in your enterprise to ensure that you’re doing it the right way. 

The following are some of the common practices in data cleaning:

  • Removal of duplicate/irrelevant observations. 
  • Fixing structural errors. 
  • Filtering unwanted outliers. 
  • Handling missing data.

Accelerate ETL with Hevo’s No-code Data Pipeline

Hevo is a No-code Automated Data Pipeline that offers a fully managed one-stop solution for all your ETL needs. Reducing data cleaning, wrangling & formatting time, Hevo seamlessly sets up data integration from 100+ data sources (including 40+ free sources) and lets you directly load clean data to your data warehouse. It will automate your data flow in minutes without requiring you to write any line of code. Its fault-tolerant architecture makes sure that your data is secure and consistent. Hevo provides you with a truly efficient and fully-automated solution to manage data in real-time and always have analysis-ready data.

Hevo’s Transformations make it easy for you to Clean, Filter, Transform and Enrich both Structured and Unstructured Data on the fly through a simple Python Coding and Drag & Drop interface. It also allows you to load a sample event from your source with a click of a button and write quick Python Transformations to Clean, Aggregate, and Enrich your data. A preview window lets you test the transformation before deploying the same ensuring that the right output is written on the destination.

Let’s look at Some Salient Features of Hevo

  • Fully Managed: It requires no management and maintenance as Hevo is a fully automated platform.
  • Data Transformation: It provides a simple interface to perfect, modify, and enrich the data you want to transfer. 
  • Schema Management: Hevo can automatically detect the schema of the incoming data and map it to the destination schema.
  • Incremental Data Load: Hevo allows the transfer of data that has been modified in real-time. This ensures efficient utilization of bandwidth on both ends.
  • Live Monitoring: Advanced monitoring gives you a one-stop view to watch all the activities that occur within pipelines.
  • Live Support: Hevo team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.

Hevo can help you Reduce Data Cleaning & Preparation Time and seamlessly replicate your data from 100+ sources with a no-code, easy-to-setup interface.

LEARN MORE ABOUT HEVO

Best Data Cleaning Services

The following are the best Data Cleaning Services that can help you keep your data clean and consistent for proper analysis and decision making. 

Some of the Data Cleaning Services are free, while others are priced with free trial periods:

1) OpenRefine

Formerly called Google Refine, OpenRefine is a powerful tool for dealing with messy data, cleaning, and even transforming it.

OpenRefine
Image Source: res.cloudinary.com

You can also use it to transform data from one format to another, allowing you to match and reconcile data, explore big data sets with ease, and clean and transform data faster. 

OpenRefine Pricing

It’s a free and open-source tool, and hence, you can use it or modify its source code without paying anything.

2) Trifacta Wrangler

Trifacta Wrangler was developed by the makers of Data Wrangler, and it’s an interactive tool for data cleaning and transformation.

Trifacta Wrangler
Image Source: res.cloudinary.com

Some of its best features include a larger focus on analyzing data and less formatting time. It helps data scientists and analysts to clean and prepare messy and diverse data more accurately and quickly. It comes with machine learning algorithms that suggest the common transformations and aggregations for you to use.

Trifacta Wrangler Pricing

Trifacta Wrangler Pricing
Image Source: res.cloudinary.com

Trifacta Wrangler offers a free version with basic functionality, a Pro version costing $419/month per user, and an Enterprise version, cost for which can be negotiated with the Trifacta team depending on the business and data requirements.

3) Drake

Drake is an extensible and simple tool to use. Its text-based data workflow has data processing steps with defined inputs and outputs, with the ability to resolve their dependencies and determine the command to execute and the order of execution. Drake was designed for data workflow management, and it organizes command execution around data and its dependencies. 

Drake Pricing

Drake is a free open-source tool so you can easily access it and perform the required data cleaning operations.

4) Tibco Clarity

Tibco Clarity is a great platform for interactive data cleansing.

Tibco Clarity
Image Source: res.cloudinary.com

It utilizes a visual interface to streamline data discovery, data quality improvements, and data transformation. You can process your raw data through Tibco Clarity, and it will be converted to a form suitable for analysis. Besides data cleaning, you can perform deduplication operations and inspect addresses before transferring information to the destination. You can also use Tibco Clarity to visualize your data during data cleansing and get a clear view of the data. 

Tibco Clarity Pricing

Tibco Clarity offers a 30-day free trial following which the user has to choose between the Standard Edition costing $100 per month or the Premium Edition costing $225 per month depending on the requirements. An analysis of the editions offered can be seen below.

Tibco Clarity Pricing
Image Source: res.cloudinary.com

5) Winpure

It is considered to be one of the most affordable out of all Data Cleaning Services and can help you clean a massive volume of data, remove duplicates, standardize and correct errors effortlessly.

Winpure
Image Source: res.cloudinary.com

You can use it to clean data from databases, CRMs, spreadsheets, and more. Some of its great features include fuzzy matching and advanced data cleaning, super-fast data scrubbing, and a multi-language edition.

Winpure Pricing

Winpure offers a free community version with basic functionality along with three paid versions depending on the size of the business using it. The edition for small business will cost $999 and for medium and large-sized business will cost $1999. For enterprises, the pricing will vary depending on the business and data requirements. An analysis of all the editions offered by Winpure can be seen below.

Winpure Pricing
Image Source: res.cloudinary.com

6) DemandTools

This is a data quality suite developed to help enterprises improve their data in Salesforce CRM and Microsoft Dynamics 365 CRM.

DemandTools
Image Source: res.cloudinary.com

If your data cleansing use case is narrow and mainly focuses on your CRM, then DemandTools is the right tool for you. The DemandTool’s Cleansing Tools module helps improve the quality of data by stopping and fixing duplicate records and managing lead conversions without duplicate contacts. 

DemandTools Pricing

DemandTools offers a 5-day free trial. Once the trial period is over, the pricing varies depending on the number of users in the business. The business is charged a base charge of $1200 for 10 users + $120 per user.

DemandTools Pricing
Image Source: res.cloudinary.com

7) Data Cleaner

Quadient Data Cleaner is a powerful data profiling tool for determining and analyzing data quality for better decision-making.

DataCleaner
Image Source: res.cloudinary.com

The tool can find patterns, missing values, character sets, and other characteristics in a dataset to provide better results. It uses fuzzy logic to detect duplicates and create a single version of them. 

Data Cleaner Pricing

The community version is free; otherwise, its price is on request depending on your business and data needs.

8) Cloudingo

Cloudingo is a Salesforce data cleansing tool that cleans records, eliminates duplicates, and maintains the quality of data all in one place.

Cloudingo
Image Source: res.cloudinary.com

It is suitable for businesses of all sizes in which data updates are made in bulk, and the imported files are cleansed before accessing Salesforce. It has automation capabilities that ensure that data is scanned for any errors.

Cloudingo Pricing

Cloudingo offers three subscription plans depending on the business and data needs starting from a Standard version costing $2,500 per year to an Enterprise version costing $10,000 per year.

Cloudingo Pricing
Image Source: res.cloudinary.com

9) Reifier

It’s a tool developed by Aficx, formerly Nube Technologies, and it uses Spark for deduplication, distributed entity resolution, and record linkage.

Reifer
Image Source: res.cloudinary.com

Some of its great features include high accuracy, fast deployment, and runtime performance. It relies on machine learning algorithms to offer the best entity resolution and fuzzy data matching, and a scale-out distributed architecture. 

Reifier Pricing

The pricing will vary based on the business requirements and can be finalised after discussion with the Aficx team.

10) IBM InfoSphere Quality Stage

It’s a tool developed to support data quality, and it’s one of the most popular Data Cleaning Services that support full data quality. 

IBM InfoSphere Quality Stage
Image Source: res.cloudinary.com

It allows for the cleansing and management of databases with ease, and it facilitates the building of consistent views for the most critical units like vendors, customers, products, locations, etc. It helps deliver quality data for business intelligence, big data, master data management, data warehousing, etc.

IBM InfoSphere Quality Stage Pricing

The pricing will depend on the business and data requirements and can be negotiated upon discussion with the IBM team.

Limitations of Using Data Cleaning Services

  • Some Data Cleaning Services are not smart. Hence, they may mishandle some observations in the dataset. 
  • The best Data Cleaning Services are expensive, and their cheaper or free versions only offer basic features. 
  • For using these Data Cleaning Services, you have to expose your data, however sensitive it may be, without knowing what the tool may be doing in the background. 
  • Data cleaning can be a time-consuming process even if the best Data Cleaning Services are used, especially when you’re dealing with a large dataset.

Conclusion

This article provided you with an in-depth understanding of what data cleaning is, how it’s done, and an analysis of the best Data Cleaning Services available allowing you to make the right decision based on your business needs. Since there is no right process for data cleaning, the process should have maximum flexibility depending on the condition of the data.

For a complete Business Performance Analysis , you need to extract & consolidate data from all your data sources. To achieve this efficiently, you require to invest a section of your Engineering Bandwidth to Integrate, Clean, Transform & Load data to your Data Warehouse or a destination of your choice. This is a Time-Consuming & Resource Intensive task. A good alternative is automating the whole process by employing a Cloud Based ETL Tool like Hevo Data.

Hevo provides a No-Code Data Pipeline that allows accurate and Real-Time Replication of Data from 100+ Data Sources (Including 40+ Free Sources) and lets you directly load data into a Data Warehouse or a destination of your choice. It is a fully automated, secure and reliable service that offers high flexibility for Data Cleaning and Transformation.

Want to take Hevo for a spin? Sign up for a 14-day free trial and experience the feature-rich Hevo suite first hand. 

No-code Data Pipeline For Your Data Warehouse