Greenplum Consulting Services
From optimizing Greenplum foundations to architecting production analytics and AI.
25+
Years of data expertise
100K+
Workloads migrated or managed
45+
Technology specializations
How Pythian turns MPP complexity into competitive advantage
Production-ready Greenplum solutions for every stage of your journey.
Tune and stabilize
High-performance Greenplum operations
We identify bottlenecks and unlock performance headroom—distribution keys, GPORCA tuning, resource groups, and VACUUM strategies. We tune for the MPP architecture you actually run, not the vanilla PostgreSQL it resembles.
Navigate Broadcom licensing
Licensing analysis and transition planning
Broadcom's restructured licensing has created urgency most customers didn't plan for. We provide clear-eyed cost analysis comparing your renewal against cloud migration TCO before your next cycle forces a decision.
Keep production running
Ongoing operational support
24/7 monitoring, DBA services, and health checks to keep your Greenplum environment stable while you evaluate your options. No rushed decisions, no disruption to production analytics.
Exit to cloud-native
Cloud-native platform migration
We migrate to BigQuery, Snowflake, Databricks, Redshift, Synapse/Fabric, AlloyDB, and Aurora PostgreSQL. Our engineers handle the hard parts—remapping distribution policies, replacing gpfdist pipelines, refactoring PL/pgSQL, and migrating MADlib to cloud-native ML.
Modernize within Broadcom
Broadcom ecosystem modernization
For organizations staying on Greenplum for regulatory or sovereignty reasons, we extract maximum value—Greenplum 7.x upgrades, Kubernetes deployment via the Greenplum Operator, and Broadcom licensing optimization.
Modernize pipelines and governance
Data engineering and governance
Replace gpfdist pipelines, PXF queries, and legacy ETL with modern workflows on Airflow, Fivetran, and dbt. Governance frameworks keep your environment secure, compliant, and cost-controlled.
Explore Pythian's database migration consulting services
Minimize risk when transitioning from databases to the cloud.
Pythian's database migration consultants accelerate your transition from Greenplum to modern cloud platforms—minimizing risk, reducing costs, and modernizing your architecture with AI-powered code conversion and proven migration methodology.
A phased, vendor-neutral approach to Greenplum modernization that keeps your business running during data platform transformation
Identifying optimization opportunities
We assess cluster health—distribution keys, GPORCA behavior, resource groups, and segment utilization. For clusters under Broadcom pressure, we identify optimization opportunities and provide a renewal cost analysis to clarify your financial options.
Mapping your modernization
We recommend the right path—cloud-native exit, Broadcom modernization, or phased hybrid—based on your workloads and priorities. Vendor-neutral guidance grounded in TCO modeling, not vendor loyalty.
Migrating toward automation
Code conversion, distribution policy remapping, gpfdist replacement, and MADlib migration to cloud-native ML—leveraging PostgreSQL compatibility for higher automation rates. Our engineers focus on the complex work that tools like BigQuery Migration Service and SnowConvert AI can't handle.
Rigorous confirmation of data integrity
Parallel extraction across Greenplum segments for multi-terabyte to petabyte data movement. Dual-run synchronization and rigorous reconciliation validate data integrity before cutover.
Ongoing empowerment of business intelligence
We reconnect BI tools to your new platform, migrate MADlib models to production ML, and provide 24/7 ongoing support so your team focuses on value, not infrastructure.
Ready to navigate the Broadcom transition?
Pythian's related Greenplum services
Integrated expertise across every layer of the data stack.
Stabilize and optimize legacy systems
Database consulting
Deep-tier PostgreSQL and MPP expertise across legacy Greenplum and cloud-native platforms. We keep mission-critical clusters running at peak reliability during transition.
Govern and control your data estate
Data strategy and governance
Secure, compliant, and cost-controlled environments—with data ownership policies, cloud-native IAM alignment, and a long-term data roadmap.
Operationalize AI at scale
Production AI
From MADlib in-database analytics to production-ready ML on BigQuery ML, Snowpark ML, and Vertex AI. AI integrated into your data platform from day one.
Greenplum consulting services frequently asked questions (FAQ)
Security is built into every phase of our migration process. We start with a comprehensive assessment of your existing Greenplum security model—role-based access controls, row-level security policies, and encryption configurations. During migration, we remap these controls to cloud-native IAM frameworks (GCP IAM, AWS IAM, Azure AD), preserving the access policies that regulated industries depend on. For organizations in financial services or government, we design dual-run validation architectures that ensure no gaps in compliance coverage during the transition. Data governance metadata is migrated to modern platforms like Google Dataplex, Unity Catalog, or Collibra, so your audit trail remains intact.
The ROI from Greenplum modernization comes from multiple sources. The most immediate win is licensing cost reduction—customers facing Broadcom's restructured pricing see significant reductions in the total cost of ownership by moving to cloud-native platforms. Beyond cost savings, organizations gain elastic scaling that eliminates the complexity of gpexpand operations, improved query performance on modern columnar engines, and the ability to support real-time analytics, semi-structured data, and production AI capabilities that legacy Greenplum couldn't deliver. The PostgreSQL compatibility advantage also means higher automation rates during SQL conversion, which reduces migration timeline and cost compared to exits from proprietary platforms like Teradata or Netezza.
Greenplum's PostgreSQL foundation is a genuine migration advantage here. SQL and PL/pgSQL code conversion to PostgreSQL-compatible targets (AlloyDB, Aurora PostgreSQL) achieves the highest automation rates—significantly higher than migrations from proprietary platforms like Teradata or Netezza. For non-PostgreSQL targets like BigQuery or Snowflake, tools like Google's BigQuery Migration Service and Snowflake's SnowConvert AI handle a large portion of standard SQL translation automatically. However, MPP-specific constructs—distribution policy logic, GPORCA-tuned query patterns, external table definitions, and gpfdist pipeline orchestration—require manual refactoring by engineers who understand both the source and target architectures. MADlib in-database ML models have no automated conversion path and must be rebuilt on platform-native ML tools. This is exactly where Pythian's dual fluency in PostgreSQL heritage and MPP complexity makes the difference.
It depends on your workload characteristics, regulatory requirements, and strategic direction. Exiting to a cloud-native platform (BigQuery, Snowflake, Databricks) is the right choice for most organizations—you gain elastic scaling, modern analytics capabilities, transparent pricing, and freedom from vendor lock-in risk. However, staying within the Broadcom ecosystem makes sense for organizations with specific regulatory compliance or data sovereignty requirements that mandate on-premises control. In that case, we help you upgrade to Greenplum 7.x, deploy on Kubernetes via the Greenplum Operator, and optimize your licensing position. A third option—phased hybrid—lets you migrate high-value workloads to cloud-native platforms first while maintaining Greenplum for workloads with specific on-premises requirements. Pythian provides vendor-neutral assessment based on TCO analysis and business outcomes, not vendor pressure.
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