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Microsoft Data Quality Services VS Cloudingo

Compare Microsoft Data Quality Services VS Cloudingo and see what are their differences

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Microsoft Data Quality Services logo Microsoft Data Quality Services

Data Quality

Cloudingo logo Cloudingo

Cloudingo - a cloud-based SaaS, connects to Salesforce and allows system administrators to scan their entire database for similar or duplicate records.
  • Microsoft Data Quality Services Landing page
    Landing page //
    2023-10-02
  • Cloudingo Landing page
    Landing page //
    2022-10-21

Premier Salesforce deduplication solution with data quality orchestration API for lightweight MDM.

Microsoft Data Quality Services features and specs

  • Integration with Microsoft Ecosystem
    Data Quality Services (DQS) seamlessly integrates with other Microsoft products, such as SQL Server and Azure, making it easier for organizations using Microsoft technologies to manage data quality within their existing infrastructure.
  • Data Cleansing and Matching
    DQS provides tools for data cleansing and matching, helping ensure data accuracy and consistency by identifying duplicates and standardizing data formats.
  • Knowledge Base Driven
    DQS utilizes a knowledge base approach to data quality, allowing users to define domain-specific rules and reference data for identifying and correcting data issues.
  • User-friendly Interface
    It offers a user-friendly interface that allows non-technical users to manage data quality processes without extensive database or coding knowledge.

Possible disadvantages of Microsoft Data Quality Services

  • Limited Advanced Features
    Compared to standalone data quality management tools, DQS may lack some advanced features and flexibility needed by large or highly complex organizations.
  • Performance Constraints
    As a component of SQL Server, DQS can encounter performance issues when handling very large datasets, potentially impacting the speed and efficiency of data processing.
  • Dependency on Microsoft SQL Server
    Organizations using non-Microsoft databases might face integration challenges, as DQS is heavily tied to the Microsoft SQL Server ecosystem.
  • Steep Learning Curve for Complex Configurations
    While basic features are relatively easy to use, managing more complex data quality processes can be challenging and may require technical expertise.

Cloudingo features and specs

  • Data Deduplication
    Cloudingo excels at identifying and merging duplicate records, thereby ensuring data consistency and accuracy.
  • Automation
    The tool offers automated processes for cleaning and maintaining data, saving time and reducing the likelihood of human error.
  • Integration with Salesforce
    Seamless integration with Salesforce allows for easy usability and data synchronization between the two platforms.
  • Customizable Filters
    Users can create customizable filters to precisely identify duplicate records based on specific criteria.
  • User-friendly Interface
    The intuitive interface makes it easy for users to navigate and use the platform without extensive training.

Possible disadvantages of Cloudingo

  • Cost
    Cloudingo can be relatively expensive, particularly for small businesses or startups with limited budgets.
  • Learning Curve
    While the interface is user-friendly, mastering all its features and customizing filters can take some time.
  • Dependency on Salesforce
    The tool is heavily dependent on Salesforce; if you are not a Salesforce user, this product may not be useful to you.
  • Limited Functionality Outside Deduplication
    The primary focus is on deduplication; other data management features might be limited compared to more comprehensive data management platforms.
  • Performance Issues with Large Data Sets
    Some users have reported performance issues or slower processing speeds when dealing with very large datasets.

Microsoft Data Quality Services videos

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Category Popularity

0-100% (relative to Microsoft Data Quality Services and Cloudingo)

Microsoft Data Quality Services

Cloudingo

Sales Tools
57 57%
Sales Tools
43% 43
Data Hygiene
28 28%
Data Hygiene
72% 72
Data Integration
100 100%
Data Integration
0% 0
Data Analysis
0 0%
Data Analysis
100% 100

User comments

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Social recommendations and mentions

Based on our record, Cloudingo seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Microsoft Data Quality Services mentions (0)

We have not tracked any mentions of Microsoft Data Quality Services yet. Tracking of Microsoft Data Quality Services recommendations started around Mar 2021.

Cloudingo mentions (2)

  • Cloudingo Review: Top Salesforce Data Cleansing Tool
    In this article, we will take a look at Cloudingo, a top AppExchange app that can be your savior in the fight against inconsistent data in your Salesforce instance. - Source: dev.to / 2 months ago
  • Cleaning duplicates in CRM (Hubspot x Salesforce)
    We are looking into https://cloudingo.com/ because our CRM has too many duplicates to manually merge. Does anyone have experience with them? Any recommendations? Source: about 2 years ago

What are some alternatives?

When comparing Microsoft Data Quality Services and Cloudingo, you can also consider the following products

WinPure Clean & Match - WinPure Clean & Match is the worlds best data cleansing & data matching software for sophisticated matching, cleansing and deduplication.

RingLead - RingLead offers a complete end-to-end suite of products to clean, protect, and enhance company and contact information.

Openprise - Openprise is a data automation solution that automates the analysis, cleansing, enrichment, and unification of your data.

Oracle Data Quality - Overview of Oracle Enterprise Data Quality

Data Ladder - Data Ladder is a data quality software helping business users get the most out of their data through data matching, profiling, deduplication

SAS Data Quality - SAS Data Quality gives you a single interface to manage the entire data quality life cycle: profiling, standardizing, matching and monitoring.

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