IBM Db2 Consulting Services
From optimizing Db2 foundations to architecting real-time analytics.
25+
Years of data expertise
100K+
Workloads migrated or managed
45+
Technology specializations
Db2 services that ensure migration success during modernization
Stabilize
Db2 environment assessment and DBA augmentation
We assess your Db2 estate across z/OS, LUW, and IBM i and stabilize mission-critical workloads. As experienced DBAs retire, Pythian can fill the gap with engineers who understand mainframe operational discipline.
Optimize
Performance tuning and MIPS reduction
We tune query plans, reduce locking contention, optimize RUNSTATS schedules, and implement MIPS reduction strategies—improving Db2 environment performance and cost less while you plan your next move.
Migrate and modernize
Platform migration and code refactoring
We handle full migrations to BigQuery, Snowflake, PostgreSQL, Databricks, and other cloud targets. Your modernized platform unlocks analytics and capabilities that weren't feasible on Db2.
How we work with you
Db2 estate analysis
We assess your Db2 estate across all variants, evaluating performance health, pureScale cluster status, and end-of-support exposure. For unsupported versions, we build a stabilization plan to keep mission-critical workloads running while we plan the path forward.
Build a complete picture for your data modernization
We catalog every workload, pipeline, and security policy, then map the dependencies—including application code, transaction integrations, ETL pipelines, and reports. This complete picture is where most modernization programs fail without deep platform expertise.
ROI-focused modeling
We recommend the right path—IBM modernization, cloud-native exit, managed intermediate step, or phased hybrid—based on your workloads and priorities. Vendor-neutral guidance grounded in ROI modeling, not vendor loyalty.
Migrating while maintaining data integrity
We execute end to end: SQL PL refactoring using automated conversion tools accelerated by expert manual rewrite, petabyte-scale data extraction with EBCDIC conversion, dual-run synchronization via CDC, and hash-based data reconciliation to guarantee integrity.
24/7 data ecosystem support
We provide 24/7 managed services for legacy Db2 during transition and cloud platforms after migration. As your DBA workforce retires, Pythian fills the gap with engineers who understand both worlds.
Modernizing a global IT service provider's Db2 estate for cloud-native analytics and AI
Legacy Db2 z/OS and LUW to a cloud-native analytics and AI platform.
A global IT services organization across 30+ countries relied on IBM Db2 for z/OS and Db2 LUW for service delivery, billing, and customer management. With end-of-support deadlines approaching, MIPS costs climbing, and Db2 DBAs retiring, the organization engaged Pythian to modernize its entire Db2 estate.
Pythian: The enterprise migration leader
Modern platform migrations from Db2
Snowflake
Migrate DB2 data warehouses to Snowflake’s elastic cloud platform to enable scalable analytics and eliminate infrastructure management.
Redshift
Move DB2 analytical workloads to Redshift for scalable cloud data warehousing within the AWS ecosystem.
BigQuery
Modernize DB2 analytics environments by migrating to BigQuery’s serverless analytics platform.
Microsoft Fabric
Re-platform DB2 workloads to Azure SQL Database or Azure Synapse Analytics for integration with Microsoft’s enterprise cloud services.
PostgreSQL
Reduce licensing costs by migrating DB2 workloads to open-source PostgreSQL environments or managed cloud PostgreSQL services.
Ready to transform your IBM Db2 environment?
Pythian's related IBM Db2 services
End-to-end data services ensure your Db2 modernization delivers lasting business value.
Stabilize and optimize legacy systems
Database consulting
Deep-tier expertise in Db2 across z/OS, LUW, and IBM i—plus 45+ cloud-native and relational technologies. We tune performance, audit security, and keep mission-critical systems running at peak reliability.
Build resilient, modern pipelines
Data engineering consulting
We replace fragmented Db2 ETL—DataStage, Informatica, and JCL-based batch jobs—with resilient, observable data flows built on Airflow, Fivetran, dbt, and cloud-native orchestration.
Deliver real-time insights
Real-time analytics
From static Cognos and QMF batch reports to real-time insights on Looker, Power BI, and Tableau. Business users get answers in seconds, not the hours that mainframe batch extracts typically require.
IBM Db2 consulting services frequently asked questions (FAQ)
Security is built into every phase of our migration process. We start with a comprehensive audit of your existing Db2 security architecture—including RCAC (Row and Column Access Control) policies, LBAC (Label-Based Access Control) on z/OS, and existing audit configurations. During migration, we map these fine-grained security policies to their equivalents on the target platform—whether that's row-level security in PostgreSQL, BigQuery column-level access controls, or Snowflake data masking policies. For mainframe exits, we ensure EBCDIC-to-UTF-8 data conversion preserves data integrity across all character sets. Dual-run validation confirms that security coverage is identical on both platforms before cutover. We maintain regulatory reporting continuity throughout—critical for organizations where a gap in compliance isn't acceptable.
ROI from Db2 modernization comes from multiple sources. Mainframe MIPS cost reduction is often the most immediate win—offloading analytics workloads from z/OS to cloud platforms can deliver MIPS savings. Beyond cost reduction, organizations see significant query performance improvements on modern cloud targets, dramatic reductions in operational complexity, and the ability to enable self-service analytics and production AI that were impossible with legacy Db2 batch extracts. Eliminating IBM Db2 Enterprise licensing on distributed platforms provides additional savings. The phased approach we recommend means you start seeing returns on high-value workloads early in the migration.
Automated conversion tools—SnowConvert for DB2, Next Pathway SHIFT, SQLines, and db2topg—can typically handle 60 to 80 percent of standard SQL conversion. However, complex SQL PL stored procedures with Db2-specific extensions, MQT (materialized query table) dependencies, and embedded SQL in COBOL or Java applications require expert manual refactoring. PL/SQL compatibility mode code (adopted by some organizations for Oracle-to-Db2 migrations) requires different migration treatment than native SQL PL. This layered complexity is precisely where Pythian's deep Db2 expertise makes the difference—we've refactored complex procedural logic across all three Db2 variants and know where the hidden dependencies live.
It depends on your deployment context, workload characteristics, risk tolerance, and strategic direction. IBM is aggressively investing in Db2's future—Db2 12.1 LUW with AI Query Optimizer and vector data, pureScale on AWS/Azure, and Db2 SaaS are legitimate modernization paths for organizations deeply embedded in the IBM ecosystem. Amazon RDS for Db2 offers a managed intermediate step that preserves code compatibility while eliminating operational overhead. Cloud-native platforms like BigQuery, Snowflake, or PostgreSQL are better suited for organizations ready to fully decouple from IBM and gain serverless scaling, modern BI integration, and AI-ready infrastructure. A phased approach—moving analytics to cloud-native first while keeping transaction processing on Db2—lets you reduce risk and prove value before committing to a full exit. Pythian provides vendor-neutral assessment based on workload analysis and ROI modeling, not vendor relationships.
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