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SQL Server Integration Services VS Informatica Cloud Data Quality

Compare SQL Server Integration Services VS Informatica Cloud Data Quality and see what are their differences

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NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

SQL Server Integration Services logo SQL Server Integration Services

Learn about SQL Server Integration Services, Microsoft's platform for building enterprise-level data integration and data transformations solutions

Informatica Cloud Data Quality logo Informatica Cloud Data Quality

Cloud Data Quality from Informatica is a top-notch cloud data management service that provides trusted insights for your business.
  • SQL Server Integration Services Landing page
    Landing page //
    2023-03-17
  • Informatica Cloud Data Quality Landing page
    Landing page //
    2023-03-12

SQL Server Integration Services videos

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SSIS Tutorial For Beginners | SQL Server Integration Services (SSIS) | MSBI Training Video | Edureka

More videos:

  • Tutorial - SQL Server Integration Services Tutorial: How to Create an ETL Package with SSIS (11/13)

Informatica Cloud Data Quality videos

+ Add

Informatica Cloud Data Quality Overview - Part 1

More videos:

  • Review - 01 Informatica Data Quality - IDQ - Overview
  • Review - An Introduction to Informatica Cloud Data Quality
  • Review - Overview of Informatica Cloud Data Quality

Category Popularity

0-100% (relative to SQL Server Integration Services and Informatica Cloud Data Quality)

SQL Server Integration Services

Informatica Cloud Data Quality

Data Integration
100 100%
Data Integration
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100
ETL
100 100%
ETL
0% 0
Monitoring Tools
69 69%
Monitoring Tools
31% 31

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare SQL Server Integration Services and Informatica Cloud Data Quality

SQL Server Integration Services Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
SSIS is an enterprise-level platform for data integration and transformation. It comes with connectors for extracting data from sources like XML files, flat files, and relational databases. Practitioners can use SSIS designer’s graphical user interface to construct data flows and transformations.
Source: www.datacamp.com
15 Best ETL Tools in 2022 (A Complete Updated List)
SSIS is a product by Microsoft and was developed for data migration. The data integration is much faster as the integration process and data transformation is processed in the memory. As it is the product of Microsoft, SSIS only supports Microsoft SQL Server.
Source: www.softwaretestinghelp.com

Informatica Cloud Data Quality Reviews

We have no reviews of Informatica Cloud Data Quality yet.
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What are some alternatives?

When comparing SQL Server Integration Services and Informatica Cloud Data Quality, you can also consider the following products

Matillion - Matillion is a cloud-based data integration software.

Ataccama - We deliver Self-Driving Data Management & Governance with Ataccama ONE. It’s a fully integrated yet modular platform for any data, user, domain, or deployment.

Talend Data Services Platform - Talend Data Services Platform is a single solution for data and application integration to deliver projects faster at a lower cost.

SAP Master Data Governance (MDG) - SAP Master Data Governance (MDG) is a platform that enables organizations worldwide to enhance the consistency and quality of data.

Talend Data Integration - Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.

SAS Master Data Management - SAS Master Data Management Software brings order and purpose to the enterprise through an innovative approach to master data management.

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