How do we operate in practice? Linux Polska Implementation Methodology
Analytical architecture transformation is a business-critical process. Our engineers guide organizations through this transition using a rigorous, 5-stage model designed to minimize operational risk:
- In-depth Reconnaissance and Environmental Audit – we analyze existing data warehouses, analytical processes, and the phenomenon of data siloing;
- Architecture Design and Proof of Concept (PoC) – we design MPP clusters and conduct performance verification in a secure test environment (PoC);
- Architecture Deployment and Production Launch (Go-Live) – following verification, we perform installation and precise configuration of WarehousePG clusters in the chosen target environment (on-premise, public, or hybrid cloud). We ensure a seamless transition to production with a minimal maintenance window and full engineering support;
- Proactive Maintenance (24/7/365 Support) – we provide continuous monitoring, performance tuning, and SLA-backed engineering support;
- Knowledge Transfer and Education (VILT) – we deliver authorized workshops for your engineering teams on platform operation and administration, utilizing a modern Virtual Instructor-Led Training (VILT) model.

How we work – cooperation stages
1Analysis and planning
Assessment of the initial situation, identification of areas for change, and recommendations for solutions.
2Solution testing
Proof of Concept (PoC), pilot or partial implementation.
3Solution evaluation
Verification of the assumptions made, determination of whether the solution will deliver the expected benefits.
4Solution implementation
Execution of the verified plan.
5Support and development
Ensuring the sustainability of the solution and its alignment with the organization’s goals.
What is WarehousePG and how does it transform your Business?
WarehousePG is a direct, open-source fork of the highly-regarded Greenplum Database platform, developed with the support of engineers from EnterpriseDB. This solution maintains the SQL standard familiar to developers and analysts, distributing massive queries in parallel across multiple collaborating compute nodes (segments) to achieve peak performance. This technology also natively supports advanced analytics and Generative Artificial Intelligence (GenAI).
Comprehensive End-to-End Service Model and IT Lifecycle
At Linux Polska, we understand that modern analytics requires more than just tools – it requires a solid foundation that is scalable, secure, and free from licensing constraints. Based on our End-to-End IT lifecycle model, we provide a full ecosystem of services for WarehousePG, ensuring digital transformation success.
Consulting and Proprietary System Migration
We guide organizations through the full strategy and planning process. We design secure exit strategies from closed environments (e.g., Snowflake, Teradata, Oracle Exadata) or legacy systems toward the open standard of WarehousePG. Our approach includes TCO analysis, MPP cluster sizing, and precise data distribution mapping to minimize operational risk and migration costs.Advanced Automation and Streaming
We build modern data pipelines by integrating WarehousePG’s native parallel processing with platforms like Apache Kafka or RabbitMQ. Using advanced integration frameworks (e.g., PXF), we enable near real-time analysis of critical logs, IoT events, and mass data, turning the warehouse into an active data command center.Reliability (High Availability) and Security
During the architecture and build phase, we focus on business continuity. We configure Standby Coordinator and Mirror Segments for full node redundancy, eliminating single points of failure. Simultaneously, we implement rigorous Row-Level Security policies to ensure full compliance with strict audit standards and legal regulations.24/7 Enterprise Support and Optimization
We provide professional maintenance throughout the environment’s entire lifecycle. Our team of certified engineers provides 24/7 technical support, ensuring proactive monitoring and Performance Engineering. We don’t just fix bugs; we constantly optimize query plans (GPORCA) and resource management so your analytical platform evolves with growing business needs and new AI/ML challenges.
Your Data in Safe Hands
Technologies implemented by Linux Polska serve as the operational foundation for the most demanding environments in Europe. Our engineering team is trusted by giants in heavily regulated sectors: major commercial banks (including PKO BP, mBank, Pekao SA), critical state infrastructure institutions (NASK, ARiMR, ZUS), and strategic energy corporations. We hold over 600 engineering certificates, and our internal processes undergo rigorous audits, confirmed by independent ISO/IEC 27001:2023 information security certificates and advanced SOC 2 Type II reports. By choosing us, you minimize project and operational risk to zero.
Need professional support with WarehousePG?
Trust the experience of our engineers.
Your Data in Safe Hands
Technologies implemented by Linux Polska serve as the operational foundation for the most demanding environments in Europe. Our engineering team is trusted by giants in heavily regulated sectors: major commercial banks, state infrastructure institutions, and strategic energy corporations. We hold over 600 engineering certificates and maintain ISO/IEC 27001:2023 and SOC 2 Type II compliance. Choosing us means minimizing project and operational risk to zero.

You are in good hands
Need professional support with WarehousePG?
Trust the experience of our engineers.
Why Choose Our WarehousePG Services?
Full Sovereignty and Budget Predictability
We protect your organization from vendor lock-in and unexpected cloud fees. Based on a stable per-core licensing model, we give you absolute control over costs and complete flexibility in environment choice (on-premise, public cloud, hybrid infrastructure).
Enterprise Reliability and Data Security
We design systems with built-in High Availability (Standby Coordinator, Mirror Segments), eliminating single points of failure. We implement rigorous security policies to ensure full compliance with strict audit standards.
Petabyte-scale Performance and AI Readiness
We design MPP clusters capable of immediate processing of massive datasets. We integrate native vectorization (pgvector) and machine learning (MADlib), preparing your warehouse for advanced AI implementations operating directly within the database.
How can we help you?
Tell us about your needs.
FAQ – WarehousePG: MPP Data Warehouse Full Support and Services
Our offering encompasses a comprehensive range of activities centered around the open-source database utilizing Massively Parallel Processing (MPP) architecture. This includes the entire lifecycle: from initial cluster architecture planning and seamless migration of terabytes of data to active monitoring and ongoing maintenance of the analytical platform.
Our services are primarily aimed at organizations managing massive volumes of data within their analytical processes. It is ideal for enterprises prioritizing technological sovereignty, full infrastructure control, and budget predictability, seeking to eliminate the rising and unpredictable costs of commercial cloud warehouses. This also includes companies looking to rapidly deploy advanced analytics and Artificial Intelligence (AI/ML) models directly onto their datasets.
The decision to transform should be considered when a company experiences unpredictable, surging bills for analytical services (so-called “serverless surprises”), aims to break free from vendor lock-in, or when the current warehouse loses performance while handling high concurrency from numerous analysts.
We ensure total IT budget predictability by basing costs on the number of compute cores rather than variable data consumption tiers. Furthermore, our work radically reduces the risk of failure, restores environment control, and immediately prepares the warehouse for the implementation of AI models processed directly within the database (in-database ML).
Our architectural and installation work is based on a proven methodology. We begin with a meticulous audit of data silos and the construction of a Proof of Concept (PoC) environment. This is followed by a seamless deployment with a minimal maintenance window, the launch of proactive technical support, and the project concludes with specialized workshops for the client’s staff.
This represents a holistic takeover of responsibility for the data warehouse ecosystem. The process includes developing a migration strategy from proprietary systems, the physical construction of clusters, precise integration with the company’s existing tools, configuration of redundancy mechanisms (HA), and providing rigorous enterprise-level engineering support.
Our deployments actively utilize the PXF (Platform Extension Framework). This enables WarehousePG to query external sources, such as data lakes based on Amazon S3, MinIO, or HDFS clusters, using standard SQL. This allows for effectively unifying dispersed information into a single, coherent reporting system.
At the infrastructure level, we implement and rigorously test duplicated coordination mechanisms (Standby Coordinator) and mirrored data segments (Mirror Segments). This ensures full computational redundancy, which, combined with automated failure detection systems, guarantees uninterrupted business analytics delivery.
We apply strict information visibility restrictions at the row level (Row-Level Security) and restrictive access management for specific columns within tables. Furthermore, to meet legal and regulatory standards, we configure the pgAudit extension, which provides detailed tracking of all database operations.
We perform deep node tuning for maximum performance during hundreds of concurrent queries. Additionally, we implement a Tiered Storage architecture, which automatically moves older, rarely used data to more cost-effective mass storage, reserving the fastest media exclusively for critical, current processes.
Yes. Leveraging the binary compatibility of the WarehousePG engine with Greenplum databases (versions 6.x and 7.x), we perform fast binary swap operations. This allows for full environment migration in just hours, eliminating long-term data copying.
We equip clusters with vector support through the pgvector extension and support MADlib analytical libraries. This eliminates the need for slow and expensive exports of terabytes of data to external systems—model training (including powering RAG architectures) takes place directly within the warehouse.
In environments requiring instantaneous response, we deploy a built-in streaming server that natively connects to transmission platforms such as Apache Kafka and RabbitMQ. This enables data ingestion and analysis of IoT events and security alerts in fractions of a second.
Yes, the technology deployment process concludes with authorized workshops in a virtual instructor-led (VILT) format. Our experts train the client’s administrators and analysts on how to correctly, securely, and efficiently manage the newly established clusters.
We replace the trap of cloud services—which charge for every executed query or processed byte—with a highly transparent licensing model based on physical CPU cores. This ensures rigorous financial discipline for years to come.
We effectively solve the problem of CPU resource contention by utilizing Linux-native resource control mechanisms (cGroups V2). This allows us to strictly isolate threads and prioritize critical tasks, ensuring SLA parameters are met even during month-end computational peaks.
Our services offer total infrastructural flexibility. Linux Polska architects design and maintain WarehousePG instances on the client’s physical servers (on-premise), in commonly used public clouds (AWS, Azure, GCP), as well as in advanced hybrid configurations.
We provide holistic End-to-End care for the entire data warehouse ecosystem. From the infrastructure level (hardware administrator): Planning and optimization of parallel MPP clusters, ensuring business continuity (HA), and rigorous access security (RLS), as well as proactive monitoring and performance tuning. To the analytics and business level (report/dashboard design): Integration with streaming platforms (Kafka), elimination of data silos via PXF plugins, and full technological readiness for AI/GenAI deployments, vectorization (pgvector), and machine learning (MADlib).
As an authorized EDB partner, we combine direct access to the engineers building the database engine with our independent, objective integrator perspective. We prioritize the client’s information sovereignty and financial predictability over selling specific licenses, guaranteeing peace of mind backed by elite security certifications.
The most convenient path is to precisely define your requirements by contacting our specialist.
