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October 15, 2024

Introducing Bigeye’s SSIS Connector: Bringing Data Observability to SSIS Workloads

Discover how Bigeye’s SSIS Connector brings data observability to SSIS packages.

Egor Gryaznov
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Many enterprises rely on SQL Server Integration Services (SSIS) to support critical data pipelines. But managing SSIS often feels like flying blind—especially when complex SQL tasks or stored procedures are involved. That changes today. Bigeye is now the first data observability platform to support SSIS, bringing powerful lineage enabled data observability  to your entire data stack. When paired with Bigeye's Dependency Driven Monitoring, you can use the SSIS integration to automatically deploy precise, targeted data quality monitoring on data pipelines in SSIS environments.

Why SSIS Matters

Despite the shift to the cloud, tools like SSIS continue to play a critical role for enterprise data teams. Built for managing ETL tasks, SSIS is a workhorse in on-prem environments. While its role is foundational, its complexity and lack of transparency can create significant challenges. This is where Bigeye’s ability to provide visibility into  SSIS data flows comes in—coupled with Bigeye’s Dependency Driven Monitoring you can ensure you’re not just tracking your data but automating monitoring of data quality issues  across your legacy, on-prem and hybrid systems.

What Does the SSIS Connector Do?

Our new SSIS connector integrates seamlessly with Bigeye, automatically mapping data flows across your SSIS packages. Here's what makes it special:

  • Lineage Enabled Data Observability for SSIS Packages: Say goodbye to manually tracing SQL tasks. Bigeye’s SSIS connector generates detailed lineage graphs, giving you full visibility into complex SQL queries and stored procedures.
  • Support for Both Database Tables and Flat Files: Whether your SSIS packages are using database tables or flat files, Bigeye’s SSIS connector provides complete lineage tracking across these sources.
  • Transparency Into Complex SQL Logic: Bigeye supports automated lineage for SQL tasks using complex queries or stored procedures within SSIS. Detailed lineage graphs are built that map dependencies and transformations, giving you full visibility into how your data flows through even the most intricate SQL operations.
  • Targeted Monitoring with Dependency Driven Monitoring: Dependency Driven Monitoring optimizes your data observability efforts by automatically deploying monitoring only where it’s needed—on the columns and data flows actively used by your analytics dashboards or business processes.

Why This Is this Important for Bigeye Users

For organizations that still depend on SSIS, keeping track of these pipelines can be tough. The SSIS connector makes it easy to see what’s happening within your legacy data flows—providing the same level of transparency Bigeye delivers for your cloud and modern data tools. Here’s how this helps you:

  • No more data blind spots—you’ll know exactly where your SSIS data is flowing and when there’s an issue.
  • Troubleshoot with confidence—quickly pinpoint where data issues are happening inside your SSIS pipelines.
  • Stay compliant—with clear, automated data observability that keeps your SSIS workflows audit-ready.
  • Reduce alert fatigue—Dependency Driven Monitoring ensures you focus on the most critical data, drastically reducing noise from irrelevant alerts and enabling faster resolution.
  • Get ahead of issues—By monitoring for anomalies in real time, you’ll be able to address potential data problems before they impact your business operations.

Bigeye ensures you can monitor, understand, and optimize your data environment, no matter where it lives.

How to Get Bigeye’s SSIS Connector

If you’re already a Bigeye customer, the SSIS connector is ready to deploy today for automated  tracking of your SSIS data flows. You’ll get visibility over both database tables and flat files. Best of all, Dependency Driven Monitoring will ensure your monitoring is as efficient as possible, targeting only the most important parts of your data pipeline without needing to manually configure complex SQL or stored procedures.

Whether you’re managing on-premise systems, hybrid environments, or transitioning to the cloud, we’re here to make sure you’re covered every step of the way.

Ready to get started with Bigeye? Request a demo to see the SSIS connector in action and discover how Bigeye can help you manage your legacy systems with confidence.

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Resource
Monthly cost ($)
Number of resources
Time (months)
Total cost ($)
Software/Data engineer
$15,000
3
12
$540,000
Data analyst
$12,000
2
6
$144,000
Business analyst
$10,000
1
3
$30,000
Data/product manager
$20,000
2
6
$240,000
Total cost
$954,000
Role
Goals
Common needs
Data engineers
Overall data flow. Data is fresh and operating at full volume. Jobs are always running, so data outages don't impact downstream systems.
Freshness + volume
Monitoring
Schema change detection
Lineage monitoring
Data scientists
Specific datasets in great detail. Looking for outliers, duplication, and other—sometimes subtle—issues that could affect their analysis or machine learning models.
Freshness monitoringCompleteness monitoringDuplicate detectionOutlier detectionDistribution shift detectionDimensional slicing and dicing
Analytics engineers
Rapidly testing the changes they’re making within the data model. Move fast and not break things—without spending hours writing tons of pipeline tests.
Lineage monitoringETL blue/green testing
Business intelligence analysts
The business impact of data. Understand where they should spend their time digging in, and when they have a red herring caused by a data pipeline problem.
Integration with analytics toolsAnomaly detectionCustom business metricsDimensional slicing and dicing
Other stakeholders
Data reliability. Customers and stakeholders don’t want data issues to bog them down, delay deadlines, or provide inaccurate information.
Integration with analytics toolsReporting and insights

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