Migrate from SSIS to Microsoft Fabric with Kanerika
Transform your legacy SSIS infrastructure into Microsoft Fabric's modern cloud-native platform. Kanerika's migration accelerator ensures rapid, seamless transition to Fabric with minimal disruption to your operations.
The Tech Debt
The Cost of Not Modernizing Your Data Platforms
IT budgets are spent on legacy system maintenance.
CIOs see legacy systems as growth barriers.
Developer productivity is lost due to outdated tools
Digital transformation efforts fail due to legacy systems
Experience Our
SSIS to Fabric Migration
The SSIS to Microsoft Fabric Advantage
Transform Your Data Integration with Fabric's Next-Gen Capabilities
Eliminate Infrastructure Overhead
- Eliminate server maintenance and hardware upgrade cycles
- Scale compute resources automatically based on workload demands
- Transform capital expenses into predictable operational costs
Unified Analytics Platform
- Integrate semantic modeling, data warehousing, and reporting seamlessly
- Consolidate ETL, reporting, and machine learning workflows
- Streamline data flow from ingestion to insights
Cloud-Native Performance & Scale
- Process massive datasets without performance bottlenecks
- Leverage parallel processing capabilities beyond SSIS limitations
- Distribute data globally with built-in redundancy
Modern Development Experience
- Build semantic models using intuitive web-based interfaces
- Monitor performance and usage with advanced analytics capabilities
- Collaborate through integrated version control and deployment pipelines
The Migration Process
Transform Your ETL Workflows Effortlessly with Our Migration Accelerator
Automated Package Upload & Configuration
Upload your SSIS .dtsx ZIP files to FLIP, select migration options, and configure connection settings. Our intelligent tool automatically processes your existing packages and prepares them for cloud transformation.
Metadata Extraction & Power Query Conversion
FLIP extracts comprehensive SSIS metadata and converts it into optimized Power Queries. This automated process ensures all your business logic, transformations, and data relationships are preserved during the migration.
Semantic Model & Template Generation
Upon successful execution, FLIP generates a ready-to-deploy semantic model and Power Query Template directly in your Fabric workspace. The template loads automatically with refreshed scripts for immediate use.
Dataflow Deployment & Validation
Dataflow Gen2 is produced to replicate your SSIS logic in the cloud environment. Final validation confirms that all structures, connections, and data flows are intact and ready for production deployment.
ROI YOU CAN EXPECT
Unlock Microsoft Fabric's Potential with a Cost-Effective Transition
ESTIMATED TIME SAVINGS
Average effort reduction
Simple - Fewer and straightforward activities
Less Effort
Medium - More Activities with moderate difficulty
Less Effort
Complex - all activities including the complex ones
Less Effort
Case studies
Achieving Superior Results with Automated Migrations
Migration
60% Faster Migration: Crystal Reports to Power BI
Impact:
- 60% Faster Migration
- 10x Data Scale
- 99.5% Refresh Success Rate
Migration
60% Faster Analytics with Informatica to Alteryx
Impact:
- 45% Faster Reporting Cycles
- 38% Reduction in Maintenance Costs
- 60% Improved Analytics Turnaround
Migration
74% Faster Retail Reporting with Microsoft Fabric
Impact:
- 74% Faster Reporting Cycles
- 65% Increase in Reporting Stability
- 72% Faster Access to Current Metrics
Frequently Asked Questions (FAQs)
How long does the SSIS to Microsoft Fabric migration take?
The timeline varies based on your ETL complexity, but Kanerika’s automated migration accelerator significantly reduces deployment time, completing the transition much faster than traditional manual approaches.
Do we need to retrain our development team for Microsoft Fabric?
Microsoft Fabric offers intuitive low-code/no-code interfaces that are easy to learn. Teams familiar with Azure or Microsoft tools can adapt quickly, requiring minimal training to become productive.
What are the cost benefits of migrating from SSIS to Fabric?
Microsoft Fabric eliminates server infrastructure costs and reduces operational overhead by up to 60%. You’ll save on hardware maintenance while gaining cloud-scale performance and reliability.
Will our existing data pipelines be disrupted during migration?
No. Our migration process ensures zero downtime by running parallel systems during transition, guaranteeing continuous data flow without any operational disruption.
What improvements can we expect after migrating to Fabric?
Post-migration, you’ll experience enhanced scalability, real-time processing capabilities, unified analytics, and simplified maintenance, enabling faster insights and better data governance across your organization.
Why should I migrate from SSIS to Microsoft Fabric?
SSIS requires expensive on-premises infrastructure with manual server maintenance and complex scaling. Microsoft Fabric eliminates these costs with cloud-native architecture that scales automatically. You get unified analytics combining ETL, data warehousing, and reporting in one platform. Microsoft is prioritizing investment in Microsoft Fabric while SSIS receives only maintenance updates. Kanerika’s proprietary migration accelerator, powered by FLIP, automates the entire transition, converting SSIS packages to Microsoft Fabric pipelines in days instead of months.
What are the key advantages of using Fabric Data Pipelines?
Microsoft Fabric Data Pipelines provide cloud-native scalability without infrastructure management. Built-in monitoring and error handling exceed SSIS logging capabilities. Native integration with Power BI, OneLake, and Microsoft Fabric warehouse eliminates complex connections. Real-time data processing capabilities surpass SSIS batch limitations. Parallel processing handles massive datasets without performance bottlenecks. Kanerika’s proprietary migration accelerator, powered by FLIP, ensures your SSIS packages leverage these advantages immediately after migration.
Can I reuse my SSIS packages in Microsoft Fabric?
Only partly. Microsoft offers limited options for running existing SSIS packages from Fabric Data Factory, but lifting packages as-is keeps the legacy SSIS engine and misses Fabric-native capabilities. Kanerika’s proprietary migration accelerator, powered by FLIP, automates complete conversion instead. The tool extracts SSIS metadata from .dtsx files and converts them to Microsoft Fabric-compatible pipelines and dataflows. All business logic, transformations, and data relationships transfer automatically. You avoid months of manual package recreation through intelligent automation that preserves your ETL functionality.
How do you map SSIS workflows to Fabric pipelines?
Kanerika’s proprietary migration accelerator, powered by FLIP, intelligently maps SSIS control flow tasks to Microsoft Fabric pipeline activities. Data flow tasks convert to Dataflow Gen2 or Power Query transformations. Execute SQL tasks map to stored procedure activities. File system tasks translate to Microsoft Fabric file operations. Precedence constraints become pipeline dependencies. The accelerator handles these mappings automatically while optimizing for Microsoft Fabric’s cloud-native capabilities.
What happens to SQL Agent jobs linked to SSIS?
SQL Agent job schedules convert to Microsoft Fabric pipeline triggers automatically through Kanerika’s proprietary migration accelerator, powered by FLIP. Time-based schedules map to schedule triggers. Event-driven jobs convert to event-based triggers. Job dependencies translate to pipeline orchestration. We document all job configurations and recreate equivalent scheduling in Microsoft Fabric. Your automated ETL processes continue running on the same schedules after migration.
What Microsoft Fabric capacity do we need after migrating from SSIS?
Capacity depends on data volumes, pipeline concurrency, and how many other Fabric workloads such as Power BI and warehousing share the same capacity. During the pre-migration assessment, Kanerika profiles your current SSIS run times, schedules, and peak loads to recommend a starting Fabric F SKU. After go-live we review the Fabric Capacity Metrics app, reschedule heavy pipelines to smooth peaks, and resize up or down. Kanerika’s proprietary migration accelerator, powered by FLIP, produces the package inventory that drives this sizing.
Do you support hybrid migrations (on-prem to Fabric)?
Yes. Kanerika’s proprietary migration accelerator, powered by FLIP, handles hybrid scenarios where data sources remain on-premises. We configure on-premises data gateways for secure connectivity to Microsoft Fabric. SSIS packages accessing on-prem databases convert to Microsoft Fabric pipelines using gateway connections. You can maintain hybrid architecture during phased migration. This approach eliminates forced immediate cloud data movement.
How do you ensure no data loss during migration?
Kanerika’s proprietary migration accelerator, powered by FLIP, preserves all SSIS transformation logic during conversion. We run parallel SSIS and Microsoft Fabric environments during testing. Output data is compared row by row to verify accuracy. The accelerator validates all data flows, transformations, and business rules. Comprehensive audit reports document conversion accuracy. Rollback capabilities exist at every stage to ensure complete data integrity throughout migration.
Can you migrate SSIS configurations and parameters?
Yes. Kanerika’s proprietary migration accelerator, powered by FLIP, converts SSIS package configurations to Microsoft Fabric parameters automatically. Connection managers map to Microsoft Fabric connections. Variables convert to pipeline parameters. Configuration files transform to Microsoft Fabric parameter groups. Environment-specific settings transfer to workspace configurations. The accelerator maintains all dynamic configuration capabilities that existed in SSIS.
What are the performance benefits of Fabric pipelines?
Microsoft Fabric provides cloud-native parallel processing that exceeds SSIS capabilities. Automatic scaling handles peak loads without manual intervention. Distributed architecture processes massive datasets faster than on-premises SSIS servers. OneLake integration reduces data movement overhead. Organizations typically see 40-60% improvement in ETL processing times after migration. Kanerika’s proprietary migration accelerator, powered by FLIP, optimizes pipelines for Microsoft Fabric’s performance advantages during conversion.
Does Fabric support real-time or event-driven data movement?
Yes. Microsoft Fabric handles real-time streaming through Eventstreams and Real-Time Intelligence capabilities. Event-based triggers enable event-driven architectures impossible in traditional SSIS. You can process streaming data with lower latency than SSIS batch processing. Microsoft Fabric’s continuous data ingestion supports modern real-time analytics. Kanerika’s proprietary migration accelerator, powered by FLIP, converts batch SSIS packages while enabling teams to add real-time capabilities post-migration.
Can Fabric replace Azure Data Factory and SSIS both?
Yes. Microsoft Fabric consolidates capabilities from both SSIS and Azure Data Factory into one unified platform. You get ETL functionality from SSIS plus cloud orchestration from ADF. Microsoft Fabric eliminates the need to manage separate services. OneLake provides centralized storage that both platforms lacked. Kanerika’s proprietary migration accelerator, powered by FLIP, handles migrations from SSIS, ADF, or both simultaneously to Microsoft Fabric.
How do you handle error logging and retries in Fabric?
Kanerika’s proprietary migration accelerator, powered by FLIP, converts SSIS error handling to Microsoft Fabric’s enhanced logging capabilities. Event handlers map to pipeline error activities. Logging configurations transfer to Microsoft Fabric’s monitoring hub. Retry logic converts to pipeline retry policies. Microsoft Fabric provides better visibility into failures with integrated monitoring dashboards. Alerting capabilities exceed SSIS event notifications through native Teams and email integration.
Can you migrate SSIS packages deployed to SSISDB, msdb, or the file system?
Yes. Packages deployed to the SSIS catalog (SSISDB), stored in msdb, or kept on file shares can all be exported as .dtsx files and project parameters for conversion. Kanerika’s proprietary migration accelerator, powered by FLIP, inventories every deployment location during assessment so no package is missed. Catalog environments and environment variables are captured alongside the packages, then converted to Microsoft Fabric connections and pipeline parameters so each migrated pipeline keeps its original runtime configuration.
How do you ensure security and compliance in Fabric?
Kanerika’s proprietary migration accelerator, powered by FLIP, preserves all SSIS security configurations during migration. SQL Server authentication maps to Azure Active Directory. Package encryption converts to Microsoft Fabric connection security. Role-based access controls transfer to workspace permissions. Microsoft Fabric provides enhanced compliance through Microsoft Purview integration. Audit trails and data lineage exceed SSIS capabilities. Built-in certifications support GDPR, HIPAA, and SOC 2.
Can Fabric pipelines integrate with Power BI and Synapse?
Yes. Microsoft Fabric and Power BI are deeply integrated. Pipelines trigger semantic model refreshes automatically. Power BI reports embed directly in Microsoft Fabric workspaces. Synapse capabilities are built into Microsoft Fabric, eliminating separate integration. OneLake provides shared storage across all services. Kanerika’s proprietary migration accelerator, powered by FLIP, ensures your migrated SSIS packages connect seamlessly to existing Power BI reports and analytics.
How do you handle validation and testing after migration?
Kanerika’s proprietary migration accelerator, powered by FLIP, includes comprehensive validation. We run parallel SSIS and Microsoft Fabric pipelines with identical source data. Outputs are compared row by row for accuracy. All transformations, calculations, and business rules are verified. Performance benchmarks measure processing times. The accelerator generates detailed validation reports documenting every check performed. User acceptance testing confirms functionality before production deployment.
Do you provide training for managing Fabric pipelines?
Yes. We provide hands-on training specific to pipelines migrated through Kanerika’s proprietary migration accelerator, powered by FLIP. Training covers Microsoft Fabric Data Factory, monitoring hub, Dataflow Gen2, and troubleshooting. Your team learns using their actual converted pipelines rather than generic examples. Most developers become productive within 2-3 weeks since Microsoft Fabric’s interface is more intuitive than SSIS management tools.
What are the prerequisites for migration?
Main prerequisites include inventory of all SSIS packages and dependencies, access to SSIS package files (.dtsx), documentation of data sources and schedules, and Microsoft Fabric workspace with appropriate capacity. Kanerika’s proprietary migration accelerator, powered by FLIP, performs comprehensive pre-migration assessment. We analyze package complexity, identify unsupported features, and plan conversion strategy. This assessment determines exactly how much automation handles versus manual intervention needed.
Do you offer continuous support and monitoring post-migration?
Yes. We provide 30-90 day support periods after go-live to address any issues with pipelines migrated through Kanerika’s proprietary migration accelerator, powered by FLIP. Our team monitors Microsoft Fabric capacity usage, pipeline performance, and error rates. We provide optimization recommendations based on actual workload patterns. Managed services are available if you need ongoing Microsoft Fabric administration beyond initial migration support.
Will Microsoft Fabric affect SSIS, SSRS, and SSAS?
Yes. Microsoft Fabric provides modern alternatives for all three platforms. Microsoft Fabric Data Factory replaces SSIS functionality. Power BI and Microsoft Fabric reporting replace SSRS capabilities. Microsoft Fabric semantic models replace SSAS cubes. Microsoft continues supporting these legacy tools but focuses innovation on Microsoft Fabric. Kanerika’s proprietary migration accelerator, powered by FLIP, handles migrations from all three platforms, helping you modernize your entire Microsoft analytics stack.
Fabric is the new standard for Microsoft in Data Engineering?
Yes. Microsoft Fabric represents Microsoft’s strategic direction for unified data analytics. The company is actively investing in Microsoft Fabric development while SSIS receives only maintenance updates. Major organizations are migrating to Microsoft Fabric for cloud-native capabilities. With growing adoption and continuous feature releases, Microsoft Fabric is clearly Microsoft’s platform of the future. Kanerika’s proprietary migration accelerator, powered by FLIP, positions you to leverage this next-generation platform.
How are you moving data into Microsoft Fabric?
Kanerika’s proprietary migration accelerator, powered by FLIP, converts SSIS packages to Microsoft Fabric pipelines and Dataflow Gen2. Data sources connect through on-premises gateways or cloud connections. We use Microsoft Fabric’s native copy activities for data movement. OneLake serves as the centralized storage layer. Incremental load patterns transfer from SSIS to Microsoft Fabric’s optimized approaches. The accelerator automates entire conversion process while preserving all data movement logic.
Do we have to migrate all SSIS packages at once?
No. Most organizations migrate in waves. Kanerika’s proprietary migration accelerator, powered by FLIP, groups SSIS packages by business domain, dependency chain, and complexity during assessment. Low-risk packages move first to prove the approach, followed by critical and complex workloads. SSIS keeps running for packages not yet migrated, and each wave is validated and signed off before the next begins. This keeps risk contained and lets your team build Fabric skills gradually while production ETL continues uninterrupted.
How does Microsoft Fabric handle data transformation compared to SSIS?
SSIS uses control flow and data flow tasks within packages. Microsoft Fabric uses pipeline activities and Dataflow Gen2 for transformations. Kanerika’s proprietary migration accelerator, powered by FLIP, converts SSIS transformations to Power Query M language or PySpark notebooks. Microsoft Fabric provides better scalability through cloud-native distributed processing. The visual interface is more intuitive than SSIS Designer. Most SSIS transformation capabilities have Microsoft Fabric equivalents.
What are common challenges faced during SSIS to Microsoft Fabric migration and how to overcome them?
Main challenges include converting custom components without direct Microsoft Fabric equivalents, handling SSIS script tasks with embedded C# code, and managing complex package dependencies. Kanerika’s proprietary migration accelerator, powered by FLIP, addresses these through pre-migration assessment that identifies all issues upfront. The tool converts 90-95% automatically and flags remaining items for manual attention. We provide detailed conversion guidance for complex scenarios.
How can companies measure ROI after transitioning from SSIS to Microsoft Fabric?
Measure infrastructure cost savings by comparing server maintenance to Microsoft Fabric consumption charges. Track development time reduction through faster pipeline creation. Monitor ETL processing time improvements from cloud scalability. Calculate operational overhead reduction from eliminated server management. Organizations typically see 40-60% cost reduction and 50% faster development cycles. Kanerika’s proprietary migration accelerator, powered by FLIP, delivers additional savings through 70% reduced migration effort.
What future developments are expected in Microsoft Fabric that may affect SSIS migration plans?
Microsoft continues expanding Microsoft Fabric connector library, enhancing AI-powered development through Copilot, and improving performance optimization. Real-Time Intelligence capabilities are rapidly evolving. Microsoft Purview integration is strengthening governance. Early migration positions organizations to leverage these advancements. Waiting risks falling further behind as Microsoft Fabric capabilities accelerate. Kanerika’s proprietary migration accelerator, powered by FLIP, ensures you’re ready for future Microsoft Fabric innovations.
When can we decommission our SSIS servers after migration?
Decommission only after every migrated pipeline has passed validation, run through at least one full business cycle such as month-end in Microsoft Fabric, and been signed off by data owners. Kanerika then disables SQL Agent jobs, archives .dtsx packages and SSISDB content for audit purposes, and confirms no downstream system still calls the old servers. Kanerika’s proprietary migration accelerator, powered by FLIP, provides the dependency inventory that makes this final check reliable.
Which teams should be involved in an SSIS to Microsoft Fabric migration?
A successful migration involves ETL developers who know the existing packages, DBAs who manage SQL Server and SQL Agent schedules, BI owners whose reports depend on the data, security and governance leads, and business owners who sign off on output accuracy. Kanerika supplies Microsoft Fabric architects and migration engineers, while Kanerika’s proprietary migration accelerator, powered by FLIP, handles automated conversion. Clear ownership for validation and cutover decisions keeps the project on schedule.
What are the differences in pipeline orchestration between SSIS and Microsoft Fabric?
SSIS uses package execution trees with precedence constraints. Microsoft Fabric uses pipeline activities with dependencies and conditional execution. SSIS requires SQL Agent for scheduling. Microsoft Fabric has built-in triggers and orchestration. SSIS packages run on servers. Microsoft Fabric pipelines execute in cloud compute. Kanerika’s proprietary migration accelerator, powered by FLIP, translates SSIS orchestration patterns to Microsoft Fabric equivalents automatically while optimizing for cloud capabilities.
How are SSIS lookups and slowly changing dimensions migrated to Microsoft Fabric?
SSIS Lookup transformations convert to joins in Dataflow Gen2, T-SQL in a Fabric Warehouse, or PySpark notebooks, depending on data volume. The Slowly Changing Dimension wizard output becomes MERGE logic against Delta tables in a Lakehouse or Warehouse, preserving Type 1 and Type 2 history rules. Kanerika’s proprietary migration accelerator, powered by FLIP, identifies these patterns during assessment, converts them automatically where possible, and validates dimension history row by row against SSIS outputs.
Can Microsoft Fabric handle SSIS custom components or scripts during migration?
SSIS custom components require analysis during pre-migration assessment with Kanerika’s proprietary migration accelerator, powered by FLIP. We identify custom code functionality and recreate equivalent logic in Microsoft Fabric. Script tasks convert to Python or PySpark notebooks. Custom transformations may use Power Query M language. Some proprietary components need rewriting using Microsoft Fabric native capabilities. Our accelerator documents all custom components requiring manual attention.
How do you address dependency management and sequencing in Fabric pipelines versus SSIS packages?
SSIS uses precedence constraints for task sequencing. Microsoft Fabric uses pipeline dependencies with success, failure, or completion paths. Kanerika’s proprietary migration accelerator, powered by FLIP, converts all SSIS dependencies to Microsoft Fabric equivalent structures. Complex branching logic transfers accurately. Parallel execution patterns optimize for Microsoft Fabric’s distributed processing. The accelerator ensures proper execution order matches original SSIS package behavior.
How do you manage dev, test, and production environments for migrated Fabric pipelines?
Migrated pipelines are placed under source control through Microsoft Fabric Git integration with Azure DevOps or GitHub. Fabric deployment pipelines promote content from development to test to production, with connections and parameters set per stage so each environment points to the right sources. Kanerika’s proprietary migration accelerator, powered by FLIP, generates parameterized pipelines that fit this model, replacing manual SSIS package redeployment with a controlled, auditable release process.
How does Microsoft Fabric ensure data consistency and atomicity compared to SSIS transactions?
SSIS supports distributed transactions through DTC. Microsoft Fabric uses activity-level error handling and retry policies. OneLake provides consistent storage with ACID guarantees for Delta tables. Kanerika’s proprietary migration accelerator, powered by FLIP, converts SSIS transaction logic to Microsoft Fabric error handling patterns. Most transactional requirements are met through proper pipeline design and Microsoft Fabric’s built-in consistency mechanisms.
What monitoring and alerting capabilities in Fabric replace or enhance SSIS logging?
Microsoft Fabric’s monitoring hub exceeds SSIS logging with real-time pipeline execution visibility, cross-workspace analytics, and AI-powered insights. Error notifications integrate with Teams and email. Detailed activity logs track every transformation step. Performance metrics identify bottlenecks automatically. Kanerika’s proprietary migration accelerator, powered by FLIP, converts SSIS logging configurations to Microsoft Fabric’s enhanced monitoring, often providing better visibility than original SSIS packages.
How is schema evolution managed during continuous data ingestion in Microsoft Fabric?
Microsoft Fabric handles schema evolution through Dataflow Gen2 automatic schema detection and Delta Lake schema merging capabilities. OneLake’s schema-on-read approach provides flexibility SSIS lacks. Pipeline activities can dynamically adapt to schema changes. Kanerika’s proprietary migration accelerator, powered by FLIP, converts SSIS schema handling to Microsoft Fabric patterns. We implement best practices for managing evolving schemas in cloud-native environments.
What improvements in cloud-native scalability does Fabric offer over traditional SSIS ETL?
Microsoft Fabric provides automatic scaling based on workload demands without manual intervention. Distributed processing handles massive datasets beyond single-server SSIS limitations. Elastic compute adjusts resources dynamically during execution. Global data distribution with built-in redundancy exceeds SSIS capabilities. Pay-per-use pricing eliminates over-provisioning. Kanerika’s proprietary migration accelerator, powered by FLIP, optimizes pipelines to leverage Microsoft Fabric’s unlimited scalability immediately after migration.
How do you manage incremental data processing and change data capture when migrating SSIS to Fabric?
Kanerika’s proprietary migration accelerator, powered by FLIP, converts SSIS incremental load patterns to Microsoft Fabric’s optimized approaches. CDC tracking transfers to Microsoft Fabric change data capture capabilities. Watermark tables and timestamp filtering migrate automatically. Delta Lake provides built-in change tracking superior to SSIS methods. We implement best practices for incremental processing that often improve upon original SSIS designs.
How much does an SSIS to Microsoft Fabric migration cost?
Cost depends on the number of SSIS packages, the complexity of their transformation logic, and how much can be converted automatically. A small estate can be migrated in a few weeks, while a large estate with many custom components takes longer. Kanerika uses FLIP migration accelerators to automate package conversion, which reduces manual effort and cost. Share your package count and environment and we will send a scoped estimate after a short assessment.
