Ksolves Snowflake®

SAP Databricks to Open
Source Data Lake Migration

Upgrade OpenSearch 1.x to OpenSearch 2.x before end-of-life

Hire engineers who have migrated production Databricks workloads
and left teams with an architecture they fully own.

Security & Compliance Standards

ISO certification
SOC 2 Type 2 certification
GDPR compliance
CMMI level certification
HIPAA compliance

Ksolves: Your Trusted Partner for SAP to Data Lake Migration

Moving off SAP BW or SAP HANA does not have to mean months of risk and rework. Ksolves architects understand SAP data at the source level - ODP, SLT, and JDBC extraction patterns for S/4HANA, ECC, and BW workloads- before a single pipeline is built. We replace proprietary SAP analytics layers with production-grade open source stacks built on Apache Iceberg, Spark 3.x, Trino, and Airflow, architectures your team fully owns and operates. No vendor lock-in. No ongoing licensing dependency. Just a clean, open lakehouse built right the first time. Worried About Breaking SAP Integrations During Migration? Ksolves Can Help You.

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Our SAP Databricks Migration Services

From a single pipeline conversion to a full lakehouse re-platform, Ksolves delivers a complete suite of services scoped to your complexity and timeline.

SAP Workload Assessment

Our experts audit every SAP extraction layer, module dependency, data flow, and downstream reporting requirement in your environment. Each workload is classified by complexity, data volume, and business criticality, giving you a precise migration scope, effort estimate, and risk register before any work begins.

  • Inventory of all SAP modules in scope (FICO, SD, MM, PP, IS-H, BW, S/4HANA, ECC)
  • Extraction method assessment covering ODP, SLT, JDBC, and BAPI-based data flows
  • Complexity scoring per workload (simple flat extracts vs. multi-join, hierarchy-heavy, or real-time CDC pipelines)
  • Risk register flagging high-volume, compliance-sensitive, or business-critical SAP workloads for priority handling

SAP Data Extraction and Integration

Our engineers build production-grade SAP extraction pipelines using ODP, SLT, and JDBC connectors, covering full-load and incremental CDC patterns for S/4HANA, ECC, BW, and all major SAP application modules.

  • ODP-based delta extraction configured for S/4HANA and BW operational data providers
  • SLT replication setup for near-real-time CDC from ECC and S/4HANA into target platforms
  • JDBC-based batch extraction for SAP modules where ODP or SLT is not available
  • Extraction throughput validated against source system load limits to prevent SAP performance impact

SAP Target Architecture Design

We design a custom target architecture mapped to your SAP workloads, whether the destination is a cloud data warehouse, open-source lakehouse, or modern data platform. The architecture is fully documented and signed off before execution begins.

  • Source-to-target mapping covering all SAP modules, extraction methods, and landing zones
  • Data modeling for SAP-specific structures including slowly changing dimensions, hierarchies, and transactional tables
  • Capacity and scaling plan based on current and projected SAP data volumes
  • Sign-off document detailing exact tool versions, configurations, and integration points

SAP Module Re-Engineering

Our engineers re-engineer SAP-specific data structures, transformations, and business logic for the target platform, preserving FICO, SD, MM, PP, IS-H, and BW semantics without losing business context in translation.

  • SAP-to-target schema mapping covering flat tables, hierarchies, and SCD Type 1 and Type 2 patterns
  • FICO posting logic, SD order flow, MM material movements, and BW InfoObject structures rebuilt for the target layer
  • Custom ABAP extraction logic replaced with open standards (ODP, SLT, or Kafka-based CDC)
  • Transformation unit testing against SAP source data before integration testing begins

Phased Cutover and Parallel Run Management

Our team keeps your existing SAP extraction and reporting layer live until every new pipeline is validated against production data. Cutover executes only after automated reconciliation confirms full data parity.

  • Pipeline-by-pipeline cutover sequencing based on SAP module risk and business priority
  • Automated reconciliation reports comparing legacy SAP extract outputs and new pipeline outputs
  • Documented and rehearsed rollback procedures for every cutover phase
  • Sign-off checkpoints with stakeholders before each SAP module goes live on the new platform

Security and Compliance Configuration

We configure encryption, role-based access control, and audit logging aligned to SOC 2, HIPAA, GDPR, and PCI-DSS requirements across the full SAP data migration scope. Security is configured and documented as part of the project deliverable.

  • Column-level masking and row-level filtering policies mapped to SAP data sensitivity classifications
  • TLS encryption in transit and at rest across all extraction and landing zone components
  • Full audit logging of data access, pipeline runs, and configuration changes for compliance reporting
  • Compliance-relevant configuration documentation handed over alongside architecture diagrams

Performance Optimization and Tuning

Our engineers tune extraction throughput, transformation execution, and target platform query performance against your actual SAP workloads before final handover.

  • SAP extraction rate tuning to maximise throughput without impacting live SAP operations
  • Transformation execution plan tuning to eliminate bottlenecks on high-volume SAP domains
  • Target platform query optimization benchmarked against existing SAP reporting baselines
  • Monitoring dashboards configured for ongoing pipeline and platform visibility post-go-live

Team Enablement and Training

Hands-on training, operational runbooks, architecture diagrams, and administration playbooks are delivered directly to your internal team covering every tool and integration layer Ksolves builds.

  • Role-based training tracks for data engineers, analysts, and platform administrators
  • Runbooks covering common operational tasks, pipeline troubleshooting, and platform management
  • Knowledge-transfer sessions with recorded walkthroughs for future reference
  • Internal team sign-off confirming readiness to operate the migrated SAP platform independently

Post-Migration Managed Support

Our hypercare program includes under-4-hour P1 incident response, regular health reviews, full documentation handover, and a team enablement session so your engineers operate the platform independently.

  • Hypercare window with under-4-hour P1 incident response SLA
  • Periodic health reviews covering pipeline performance, platform cost, and compliance posture
  • Full documentation handover including architecture diagrams, runbooks, and governance policies
  • Optional managed operations model for ongoing pipeline changes and platform growth

Our SAP Databricks Migration Services

From a single pipeline conversion to a full lakehouse re-platform, Ksolves delivers a complete suite of services scoped to your complexity and timeline.

SAP Workload Assessment

Our experts audit every SAP extraction layer, module dependency, data flow, and downstream reporting requirement in your environment. Each workload is classified by complexity, data volume, and business criticality, giving you a precise migration scope, effort estimate, and risk register before any work begins.

  • Inventory of all SAP modules in scope (FICO, SD, MM, PP, IS-H, BW, S/4HANA, ECC)
  • Extraction method assessment covering ODP, SLT, JDBC, and BAPI-based data flows
  • Complexity scoring per workload (simple flat extracts vs. multi-join, hierarchy-heavy, or real-time CDC pipelines)
  • Risk register flagging high-volume, compliance-sensitive, or business-critical SAP workloads for priority handling

SAP Data Extraction and Integration

Our engineers build production-grade SAP extraction pipelines using ODP, SLT, and JDBC connectors, covering full-load and incremental CDC patterns for S/4HANA, ECC, BW, and all major SAP application modules.

  • ODP-based delta extraction configured for S/4HANA and BW operational data providers
  • SLT replication setup for near-real-time CDC from ECC and S/4HANA into target platforms
  • JDBC-based batch extraction for SAP modules where ODP or SLT is not available
  • Extraction throughput validated against source system load limits to prevent SAP performance impact

SAP Target Architecture Design

We design a custom target architecture mapped to your SAP workloads, whether the destination is a cloud data warehouse, open-source lakehouse, or modern data platform. The architecture is fully documented and signed off before execution begins.

  • Source-to-target mapping covering all SAP modules, extraction methods, and landing zones
  • Data modeling for SAP-specific structures including slowly changing dimensions, hierarchies, and transactional tables
  • Capacity and scaling plan based on current and projected SAP data volumes
  • Sign-off document detailing exact tool versions, configurations, and integration points

SAP Module Re-Engineering

Our engineers re-engineer SAP-specific data structures, transformations, and business logic for the target platform, preserving FICO, SD, MM, PP, IS-H, and BW semantics without losing business context in translation.

  • SAP-to-target schema mapping covering flat tables, hierarchies, and SCD Type 1 and Type 2 patterns
  • FICO posting logic, SD order flow, MM material movements, and BW InfoObject structures rebuilt for the target layer
  • Custom ABAP extraction logic replaced with open standards (ODP, SLT, or Kafka-based CDC)
  • Transformation unit testing against SAP source data before integration testing begins

Phased Cutover and Parallel Run Management

Our team keeps your existing SAP extraction and reporting layer live until every new pipeline is validated against production data. Cutover executes only after automated reconciliation confirms full data parity.

  • Pipeline-by-pipeline cutover sequencing based on SAP module risk and business priority
  • Automated reconciliation reports comparing legacy SAP extract outputs and new pipeline outputs
  • Documented and rehearsed rollback procedures for every cutover phase
  • Sign-off checkpoints with stakeholders before each SAP module goes live on the new platform

Security and Compliance Configuration

We configure encryption, role-based access control, and audit logging aligned to SOC 2, HIPAA, GDPR, and PCI-DSS requirements across the full SAP data migration scope. Security is configured and documented as part of the project deliverable.

  • Column-level masking and row-level filtering policies mapped to SAP data sensitivity classifications
  • TLS encryption in transit and at rest across all extraction and landing zone components
  • Full audit logging of data access, pipeline runs, and configuration changes for compliance reporting
  • Compliance-relevant configuration documentation handed over alongside architecture diagrams

Performance Optimization and Tuning

Our engineers tune extraction throughput, transformation execution, and target platform query performance against your actual SAP workloads before final handover.

  • SAP extraction rate tuning to maximise throughput without impacting live SAP operations
  • Transformation execution plan tuning to eliminate bottlenecks on high-volume SAP domains
  • Target platform query optimization benchmarked against existing SAP reporting baselines
  • Monitoring dashboards configured for ongoing pipeline and platform visibility post-go-live

Team Enablement and Training

Hands-on training, operational runbooks, architecture diagrams, and administration playbooks are delivered directly to your internal team covering every tool and integration layer Ksolves builds.

  • Role-based training tracks for data engineers, analysts, and platform administrators
  • Runbooks covering common operational tasks, pipeline troubleshooting, and platform management
  • Knowledge-transfer sessions with recorded walkthroughs for future reference
  • Internal team sign-off confirming readiness to operate the migrated SAP platform independently

Post-Migration Managed Support

Our hypercare program includes under-4-hour P1 incident response, regular health reviews, full documentation handover, and a team enablement session so your engineers operate the platform independently.

  • Hypercare window with under-4-hour P1 incident response SLA
  • Periodic health reviews covering pipeline performance, platform cost, and compliance posture
  • Full documentation handover including architecture diagrams, runbooks, and governance policies
  • Optional managed operations model for ongoing pipeline changes and platform growth

Why Choose Ksolves For SAP Migration?

Migrating from SAP is a high-stakes decision. Here is what makes Ksolves the right partner to execute it.

90%

Client Retention
Rate

750+

Projects Successfully
Delivered

NSE & BSE

Publicly Listed
Company

600+

Workforce and still
growing

350+

Certifications

200+

Happy Clients

150K

Support Hours Completed

Industries We Serve

Ksolves delivers SAP Databricks to open-source migration across regulated, high-volume, and operationally complex industries in the USA and India

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Frequently Asked Questions

For most SAP environments, we deploy Apache Spark 3.x, Apache Iceberg, Apache Airflow, Trino, and dbt. Real-time pipelines are extended with Kafka and Flink. Every stack recommendation is backed by benchmarks from your actual query patterns and data volumes.

No. Apache Iceberg natively supports time-travel, full schema evolution without table rewrites, and hidden partitioning. Feature parity for your specific use cases is validated during the assessment phase before migration begins.

No SAP downtime is required. Parallel extraction paths are established using ODP, SLT, or JDBC connectors. The existing Databricks pipeline keeps running while the new open-source pipeline is validated alongside it. Cutover happens only after data parity is confirmed.

A single SAP domain migration typically takes 4 to 6 weeks from assessment to production cutover. Full enterprise migrations covering multiple SAP modules range from 8 to 16 weeks depending on pipeline volume and compliance scope.

Yes. On-premises deployments use MinIO as the object store with Kubernetes-hosted Spark and Trino. This is standard for manufacturing, banking, and government SAP workloads with data residency or network isolation requirements.

Unity Catalog metadata is reconstructed in Apache Hive Metastore, AWS Glue Catalog, or an Iceberg REST Catalog. Lineage is rebuilt using OpenLineage on the new Spark and Airflow jobs and ingested into DataHub or Apache Atlas.

Minimally. Analysts continue with Trino’s ANSI SQL, data scientists continue with PySpark, and dbt users see no change. A team enablement session is included in every migration engagement.

Yes. Ksolves deploys and configures the open-source lakehouse stack on AWS, Azure, GCP, and fully on-premises environments. Hybrid deployments combining on-premises storage with cloud compute are also supported based on your data residency and cost requirements. 

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