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Microsoft Data Quality Services VS Infoworks.io

Compare Microsoft Data Quality Services VS Infoworks.io and see what are their differences

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Microsoft Data Quality Services logo Microsoft Data Quality Services

Data Quality

Infoworks.io logo Infoworks.io

The Autonomous Data Engine
  • Microsoft Data Quality Services Landing page
    Landing page //
    2023-10-02
  • Infoworks.io Landing page
    Landing page //
    2023-05-05

Infoworks eliminates big data complexity by automating data engineering through the company’s Autonomous Data Engine, which has been adopted by some of the largest enterprises in the world. Using a code-free environment, Infoworks allows organizations to quickly create and manage data use cases from source to consumption. Customers deploy projects to production within days, dramatically increasing analytics agility and time to value.

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.

Infoworks.io features and specs

No features have been listed yet.

Microsoft Data Quality Services videos

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Infoworks.io videos

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Category Popularity

0-100% (relative to Microsoft Data Quality Services and Infoworks.io)

Microsoft Data Quality Services

Infoworks.io

Sales Tools
100 100%
Sales Tools
0% 0
Data Integration
52 52%
Data Integration
48% 48
Data Hygiene
100 100%
Data Hygiene
0% 0
Big Data Tools
0 0%
Big Data Tools
100% 100

User comments

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Social recommendations and mentions

Based on our record, Infoworks.io seems to be more popular. It has been mentiond 4 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.

Infoworks.io mentions (4)

  • Dilemmas of getting production data into staging
    You should check out infoworks.io - they have this concept of domains which can restrict data sets and the users that can do any transformations on it. They have a full airflow based visual orchestration engine as well as scheduler, transformation engine, ingestion, cataloging, etc. It's an end to end unified data engineering product. Source: about 4 years ago
  • Replicating data out of a production replica RDS DB into Redshift, options?
    For a simpler no-code visual config-driven (data ingest+ ELT+ airflow-based orchestration), all in a single unified platform, you may consider infoworks.io. It will even auto create a metadata catalog for you and give you lineage, audit capabilities. Source: about 4 years ago
  • Fivetan vs. Stitch vs. Singer vs. Airbyte vs. Meltano
    As long as you're truly after a lo/no-code solution that can automate your data onboarding (beyond ingestion), you'd be amiss to not try infoworks.io. Source: over 4 years ago
  • No-code data engineering solutions
    I'm alerted to another vendor, infoworks.io, that offers a unified data engineering solution. I took their free personal testdrive. I learned that they have large number of source connectors (I think I read 200+), Spark based transformation engine, and visual workflow based on airflow. Source: over 4 years ago

What are some alternatives?

When comparing Microsoft Data Quality Services and Infoworks.io, you can also consider the following products

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

Airbyte - Replicate data in minutes with prebuilt & custom connectors

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

ManageEngine EventLog Analyzer - EventLog Analyzer is an IT compliance and log management software for SIEM.

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

Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.

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