# What are the best tools for ensuring data quality during integration?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Hey G2 community, I’m curious. What do you think is the best software for keeping <strong>data accurate, consistent, and reliable</strong> while it moves across systems? Data quality issues can cause downstream problems in analytics, so I’m building a list of integration platforms that help teams validate and govern data during the process.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><strong>Workato – Best for Automation With Validation</strong></p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><a class="a a--md" elv="true" href="https://www.g2.com/products/workato/reviews">Workato</a> combines integration with workflow automation, and many teams use it to enforce validation rules as part of the pipeline. It helps ensure that only clean, trusted data reaches downstream systems.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><strong>Azure Data Factory – Best for Built-In Data Checks</strong></p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><a class="a a--md" elv="true" href="https://www.g2.com/products/azure-data-factory/reviews">Azure Data Factory</a> supports not just orchestration, but also data profiling and validation steps within pipelines. For enterprises in the Microsoft ecosystem, this adds an extra layer of quality control before analytics.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><strong>IBM StreamSets – Best for Continuous Data Monitoring</strong></p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><a class="a a--md" elv="true" href="https://www.g2.com/products/ibm-streamsets/reviews">IBM StreamSets</a> offers real-time monitoring of streaming data flows. Its DataOps approach gives teams visibility into pipeline health and ensures that governance rules are applied consistently.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><strong>AWS Glue – Best for Schema Enforcement and Transformation</strong></p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><a class="a a--md" elv="true" href="https://www.g2.com/products/aws-glue/reviews">AWS Glue</a> includes automated schema discovery and a central catalog to keep data consistent. With built-in transformations, it simplifies cleansing and reduces the risk of mismatched or duplicate records.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><strong>5X – Best for Data Stack Governance</strong></p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><a class="a a--md" elv="true" href="https://www.g2.com/products/5x/reviews">5X</a> helps companies manage their modern data stack with a strong focus on governance. It provides tools for orchestrating and monitoring data pipelines while ensuring compliance with data quality standards.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">What do you think of these suggestions? Have you worked with any of them, or do you rely on another tool to keep your data quality high during integration?</p>

##### Post Metadata
- Posted at: 9 months ago
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;I’ve noticed &lt;a href=&quot;https://www.g2.com/products/aws-glue/reviews&quot; rel=&quot;noopener noreferrer&quot; target=&quot;_blank&quot;&gt;AWS Glue&lt;/a&gt; is popular for schema enforcement, but &lt;a href=&quot;https://www.g2.com/products/ibm-streamsets/reviews&quot; rel=&quot;noopener noreferrer&quot; target=&quot;_blank&quot;&gt;IBM StreamSets&lt;/a&gt; seems to be better for continuous monitoring in real-time pipelines. Has anyone here compared &lt;a href=&quot;https://www.g2.com/products/5x/reviews&quot; rel=&quot;noopener noreferrer&quot; target=&quot;_blank&quot;&gt;5X&lt;/a&gt; to Azure Data Factory for governance-heavy use cases?&lt;/p&gt;

##### Comment Metadata
- Posted at: 9 months ago





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