EDB Subscription Offering (Plans E1-E6)
– available components
– this is not covered by the plan
– unavailable components
| Area: | EDB POSTGRES® AI Open Source Support (E1) | EDB POSTGRES® AI Enterprise Postgres (E2) | EDB POSTGRES® AI Enterprise Postgres Plus (E3) | EDB POSTGRES® AI Analytics (E4) | EDB POSTGRES® AI Distributed High Availability (E5) | EDB POSTGRES® AI Platform (E6) |
| Who it is for | for organizations that need PostgreSQL support | for organizations that need 24/7 support and additional tools | for applications that require Oracle compatibility, enhanced security, and advanced enterprise features | for organizations that need analytics solutions | for organizations with distributed architectures and extreme high-availability requirements (Distributed HA) | for organizations that need one comprehensive data and AI platform for mission-critical environments |
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Postgres engines |
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| Enterprise Postgres (Postgres Extended Server) | ||||||
| Enterprise Postgres – Oracle Compatible (EDB Postgres Advanced Server) | ||||||
| Distributed High Availability (Postgres Distributed Expanded) | ||||||
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Platforms |
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| Community CloudNativePG | ||||||
| EDB Postgres® AI for CloudNativePG | ||||||
| EDB Postgres® AI for CloudNativePG™ Global Cluster | ||||||
| EDB Postgres® AI Hybrid Manager | ||||||
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Analytics |
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| EDB Postgres® AI for WarehousePG | ||||||
| WarehousePG extensions | ||||||
| EDB tools WarehousePG | ||||||
| EDB Postgres® AI for ClickHouse | ||||||
| Postgres® Analytics Accelerator (PGAA) | (for WarehousePG) |
(for Enterprise Postgres®) |
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Tools |
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| Open source tools | ||||||
| EDB tools |
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The product offers two technical support levels (SLA):Production – 24/7 support
Premium – 24/7 support designed for critical systems, with extremely short response times.
Extended Lifetime Support licenses are also available for older database editions.
In addition to database licenses and subscription-based tools, a broad range of professional services is available, including:
- support in architecture design, performance optimization, and environment migration, including analysis and assessment of Oracle database migration;
- implementation of specific components and solutions, such as High Availability (HA), CloudNativePG, and Hybrid Manager environments;
- access to dedicated engineers, including Technical Account Managers (TAMs), and managed environment services under RemoteDBA;
- PostgreSQL training and certification, from basic to advanced levels.
About EDB
EDB is a leading provider of PostgreSQL-based solutions that help enterprises reduce their dependence on costly commercial technologies and lower database costs by up to 80%. The EDB Postgres AI platform combines PostgreSQL performance and enhanced security mechanisms with advanced environment management tools and solutions that simplify migration from Oracle databases.
EDB technologies are used by more than 1,500 customers worldwide, who also have access to training and professional services supporting PostgreSQL implementation and integration with existing infrastructure.
What We Offer / Linux Polska Areas
SOFTWARE
POSTGRESQL
Enterprise Postgres
(EDB Postgres Extended Server)
Enterprise Postgres – Oracle Compatible
(EDB Postgres Advanced Server)
EDB Postgres® AI for WarehousePG
EDB Postgres® AI for ClickHouse
SUPPORT
Technical support
24/7 SLA
Support portal
LINUX POLSKA SERVICES
Complete EDB Postgres® AI Solution Portfolio
EDB Postgres® AI for CloudNativePG™ Cluster (EDB Postgres for Kubernetes) –
Implementation and Maintenance
As an experienced open source integrator and Kubernetes expert, we offer comprehensive implementation and maintenance of EDB Postgres® AI for CloudNativePG™ Cluster (EDB Postgres for Kubernetes). We support customers at every stage – from architecture design and PostgreSQL deployment on Kubernetes, through integration with existing infrastructure, to high-availability configuration, backup automation, and updates. We also provide technical support, consulting, and training for teams, helping them use PostgreSQL in Kubernetes environments safely and efficiently.
Database
PostgreSQL – the foundation of your reliability. This advanced open RDBMS is widely chosen by IT professionals for managing critical data. PostgreSQL natively supports SQL and JSON, providing stability, scalability, and essential features such as stored procedures, transactions, replication, and advanced security mechanisms. It is a platform designed for applications that require high flexibility and reliability.
Entrust your critical data to our experts. With Linux Polska, you can build a secure and efficient PostgreSQL ecosystem ready to operate under heavy load. We provide comprehensive support – from implementation and performance optimization to ongoing maintenance of the entire solution.
Enterprise Postgres (EDB Postgres Extended Server) is a PostgreSQL database server distribution built on the open community version of PostgreSQL. It is fully compatible with PostgreSQL, so applications written and tested for PostgreSQL behave the same way in an Enterprise Postgres environment.
Key information about EDB Postgres Extended Server:
Extended PostgreSQL capabilities:
- Enterprise Postgres offers additional functionality beyond the capabilities of the community version of PostgreSQL. This includes, among other things, Transparent Data Encryption (TDE) and extended replication mechanisms used by EDB Postgres Distributed.
- In other areas, EDB Postgres Extended Server remains compatible with PostgreSQL.
Additional features offered by Enterprise Postgres:
- Transparent Data Encryption (TDE) – transparent encryption of data stored in the database, without requiring changes to applications.
- Data redaction: available in EDB Postgres Advanced Server from PGE version 18.
- Mechanisms for delaying transaction log (WAL) writes, helping reduce the risk of excessive WAL growth.
- Additional tracing and diagnostic options.
More information is available on the
EDB Postgres Extended Server page and in the vendor documentation
Enterprise Postgres Oracle Compatible (EDB Postgres Advanced Server – EPAS) is based on a specially configured and compiled PostgreSQL database. As a result, EPAS combines the advantages of PostgreSQL with additional features such as Oracle database compatibility, advanced enterprise-class tools and functionality, and professional 24/7 technical support. This makes the solution well suited for high-load production environments.
Enterprise Postgres Oracle Compatible is a highly scalable, efficient, reliable, and stable solution that offers greater flexibility than traditional commercial systems and broad opportunities for IT infrastructure development and optimization. As a result, it can effectively meet the requirements of modern business.
Enterprise Postgres Oracle Compatible is also more attractive in terms of cost compared with other commercial DBMS systems, thanks to solutions that can significantly reduce infrastructure maintenance costs. These include:
- favorable pricing policies and subscription renewal terms, including for virtualized environments;
- a subscription model that replaces the traditional licensing model;
- the ability to reduce costs associated with traditional database licenses;
- compatibility with PL/SQL used, among others, in Oracle databases, which makes it easier to run and migrate applications built for that environment. This reduces technical, integration, and skills-related risks.
More information is available on the vendor documentation
Distributed High Availability (Postgres Distributed Expanded – PGD) is an advanced PostgreSQL implementation that enables the creation of high-performance and highly available database clusters. PGD uses multi-master replication, allowing multiple nodes to process operations simultaneously while synchronizing data bidirectionally. This architecture increases performance and significantly improves system availability, enabling the system to continue operating even if one node fails.
Key features of Distributed High Availability (Postgres Distributed Expanded – PGD) include:
- multi-master replication and data distribution: PGD offers advanced conflict management and data-loss protection mechanisms, delivering throughput up to five times higher than native logical replication;
- high availability: the system enables distributed PostgreSQL clusters that can reach five nines availability (99.999%);
- automatic failover: the PGD architecture provides strong resilience and automatic switching between locations and regions in the event of failure, minimizing downtime;
- geographic workload distribution: it helps reduce latency by enabling local access to data while supporting requirements related to data location and security;
- compatibility and flexibility: PGD supports different versions of PostgreSQL and EDB Postgres Advanced Server, offering flexibility in adapting the environment to organizational needs;
- active-active replication: it enables active use of multiple nodes in distributed and hybrid environments, supporting business continuity and infrastructure development.
Distributed High Availability (Postgres Distributed Expanded – PGD) is a solution for organizations that need a reliable, scalable, and secure database capable of supporting large, distributed IT environments.
More information is available on the vendor documentation
Professional Linux Polska Support for WarehousePG-Based Environments
We provide professional support for WarehousePG based environments. We help install and configure WarehousePG clusters, optimize them, and maintain them on an ongoing basis. We also support customers in integrating WarehousePG with their existing data ecosystems, such as Business Intelligence tools or lakehouse solutions. We help migrate workloads from Greenplum to WarehousePG, minimizing risk and downtime related to environment transformation. This allows organizations to use the analytical potential of WarehousePG while knowing that their environment remains under the care of an experienced team of experts.
Platforms
CloudNativePG is a Kubernetes operator for managing the lifecycle of PostgreSQL clusters, providing high availability and efficiency. It enables clusters in a primary/failover architecture using native PostgreSQL streaming replication. Through full integration with Kubernetes, CloudNativePG automates many processes related to deploying, managing, and scaling databases in containerized environments, and provides automatic failover in the event of failure.
One of CloudNativePG’s main strengths is ensuring data durability without relying on StatefulSets. The operator uses dedicated methods for managing persistent volume claims that store PGDATA, providing better control over data storage. The system is also designed with security in mind: it supports TLS encryption and allows users to provide their own certificates and implement TLS client authorization for PostgreSQL.
CloudNativePG is also architecturally flexible. It allows the configuration to be extended with additional components, such as PgBouncer for connection management, or the creation of distributed replication clusters, increasing resilience to failures. Support for continuous backups and point-in-time recovery further improves the security and reliability of managed databases.
EDB Postgres AI for CloudNativePG Cluster (EDB Postgres for Kubernetes) is a solution for running and managing PostgreSQL databases in Kubernetes while maintaining enterprise-class standards. It is based on the open source CloudNativePG operator, which handles the full lifecycle of a highly available PostgreSQL cluster with replication in a primary/standby architecture. EDB extends this technology with additional features and support for enterprise use cases. The solution is covered by professional technical support and provides access to EDB tools and extensions. As a result, organizations can deploy PostgreSQL-based applications in cloud-native environments faster and more safely, improving infrastructure flexibility and predictability.
Key capabilities and features of EDB Postgres AI for CloudNativePG Cluster (EDB Postgres for Kubernetes):
- automation and high availability: the operator automatically manages the full database lifecycle in Kubernetes, including scaling, monitoring, and failover procedures. Thanks to native integration with the Kubernetes API, a PostgreSQL cluster can achieve high availability through a primary/standby architecture using streaming replication;
In the event of node failure, the system automatically switches traffic to a replica and restores the cluster state, minimizing downtime and ensuring continuity for critical business applications.
- integration with the EDB ecosystem: the solution is fully compatible with CloudNativePG while offering enterprise-class extensions available under an EDB subscription. These include Oracle compatibility through EDB Postgres Advanced Server, Transparent Data Encryption (TDE) extended LTS support cycles for stable operator versions, and integration with Kubernetes backup tools such as Kasten and Velero;
These functions increase the security and reliability of PostgreSQL environments running in containers.
- deployment flexibility: EDB Postgres AI for CloudNativePG Cluster can run in various cloud and on-premises environments. It is supported on platforms such as Red Hat OpenShift and on IBM Power and z/Linux architectures, confirming its maturity and readiness for enterprise deployments. Users can deploy PostgreSQL clusters in Kubernetes according to best practices, using EDB expert support in DevOps and database administration;
- performance and scalability: thanks to a cloud-native and infrastructure-as-code approach, database management is declarative. This enables consistent and repeatable deployments and easy integration with CI/CD processes. Automation shortens the time needed to launch new services and reduces operational costs. The cluster can be scaled horizontally by adding standby replicas that can handle read-only queries and offload the primary node.
The built-in monitoring mechanism (Prometheus metrics exporter) and JSON log support make cluster observability and diagnostics easier.
More information is available on the vendor documentation
EDB Postgres AI Hybrid Manager is a platform for centralized database management in hybrid and multi-cloud environments, providing full data sovereignty. It introduces cloud-native automation and advanced observability, simplifying administration and accelerating problem detection across the infrastructure.
Key capabilities and benefits:
- Unified management – centralized control over hybrid and multi-cloud environments from a single tool.
- Automation and operational simplification – cloud-native automation simplifies administrative tasks, ensures deployment consistency, and, according to the vendor, can increase application performance up to eightfold.
- Full observabilit – more than 200 metrics and intelligent recommendations enable ongoing performance optimization, with all data available in a single pane of glass.
- Data sovereignty and AI readiness – full control over data and preparation of the environment for artificial intelligence deployments.
- Simplified migration (Oracle compatibility) – native Oracle database compatibility simplifies migration and can reduce the need for application changes by up to 95%.
- Broad range of use cases – suitable for private DBaaS, application modernization projects, and isolated (air-gapped) environments.
- Lower costs and greater efficiency – according to the vendor’s official data: up to six times lower total cost of ownership (TCO), 10x faster tuning, 200+ metrics, 75% faster migration, and 99.999% availability.
Analytics
WarehousePG to zaawansowana platforma bazodanowa klasy MPP (ang. Massively Parallel Processing) database platform designed for analytics and data warehousing. It was built on PostgreSQL technology, extending it with a massively parallel architecture that enables the processing of extremely large volumes of information. It can scale a database cluster to work with petabyte-scale data while providing unified access through a standard SQL interface. It uses a shared-nothing architecture in which data is distributed across many independent nodes (segments). The lack of shared resources reduces bottlenecks, and SQL queries are executed in parallel across all nodes, significantly accelerating results even for very large datasets. WarehousePG enables rapid analysis of large datasets – from ongoing reporting to analyses that support planning and business decisions.
Key capabilities and features of the WarehousePG platform:
- massive parallelism: WarehousePG uses multiple cooperating PostgreSQL instances (segments) to process queries in parallel. An MPP cluster can consist of dozens or hundreds of compute nodes, enabling the platform to support advanced big data analytics. The solution handles OLAP workloads well, delivering results within business-acceptable timeframes even for petabyte-scale datasets;
- efficient analytics engine: WarehousePG includes the advanced GPORCA query optimizer, designed for analyzing large data volumes. Query optimization and execution planning take into account parallelism and data locality, enabling efficient use of all segments. The system also offers parallel bulk loading and resource management mechanisms that control compute and memory allocation for individual tasks, resulting in stable and predictable analysis times;
- scalability and reliability: thanks to the shared-nothing architecture, additional nodes can be added to a WarehousePG cluster to increase compute power and storage capacity. WarehousePG also provides redundancy by maintaining copies of data fragments (mirroring) on different nodes. If one segment fails, its tasks are taken over by a copy on another server, increasing reliability. The platform supports full ACID transactions, ensuring data integrity similarly to traditional relational databases;
- AI/ML use cases: WarehousePG is also used in machine learning and AI projects that require processing massive datasets. Through integration with analytics libraries such as Apache MADlib, distributed machine learning algorithms can be run directly on data in the database. This allows organizations to build advanced AI/ML models using their existing database infrastructure, without moving data to separate platforms. As a result, organizations can experiment with models faster, shorten the time from idea to deployment, and increase the return on investment in data.
More information is available on the vendor documentation
What is ClickHouse?
ClickHouse is an open source columnar OLAP engine developed since 2016 and used in analytics requiring high throughput and sub-second response times, including observability, AdTech attribution, and event processing in FinTech by companies handling billions of events per day. It is a technology that many enterprises already use independently, usually without enterprise-class vendor support.
What does EDB Postgres AI for ClickHouse add?
EDB Postgres AI for ClickHouse uses the same open source ClickHouse as the upstream release, delivered as RPM packages, container images, and a Kubernetes operator for enterprise Linux distributions, and covered by EDB support. In other words, EDB does not create its own fork. It provides the same well-known technology in a form ready for enterprise deployments, together with enterprise support covering incident and break/fix handling, security hardening, CVE response, and operational expertise – analogous to the way EDB has supported PostgreSQL for 30 years.
Integration with the platform (the key difference compared with standalone ClickHouse)
What distinguishes this offering from standalone open source ClickHouse is its ready-made integration with the other elements of the EDB Postgres AI platform:
- ClickHouse reads data from the same open Iceberg catalog as Postgres and WarehousePG, which EDB Postgres AI keeps up to date. As a result, real-time analytics can be enabled within the existing data ecosystem without building separate connectors, ETL processes, or an additional data copy;
- Within the Converged Analytics architecture, ClickHouse acts as the engine for real-time queries, including event and log data, while WarehousePG handles deep historical analytics at petabyte scale, and the heaviest workloads can be delegated to Spark with GPU acceleration.
Business use cases:
- queries on live event streams in under one second, with very high write throughput;
- fraud risk assessment before transaction settlement, maintaining the usability of observability dashboards during active incidents, and providing AI agents with real-time context.
Deployment and licensing model:
The solution can be run on the customer’s own infrastructure with predictable per-core pricing – on-premises, in a private VPC, or in a hybrid model – with full control over data location and costs, without the consumption-based billing model typical of cloud services. This is an important sales argument in the context of DORA and data sovereignty, especially for financial institutions.
Availability status:
General Availability (GA) from June 23, 2026, as part of the release of new agentic database and converged analytics capabilities for EDB Postgres AI.
More information is available on the vendor documentation
Analytics Accelerator is a component of the EDB Postgres AI platform that turns a PostgreSQL database into a high-performance columnar analytics database integrated with the lakehouse ecosystem. It provides immediate access to current operational data and accelerates analytical queries by up to 30 times compared with a standard PostgreSQL database.
Importantly, the solution reduces the need to build separate data warehouses and complex ETL processes. Analytics Accelerator uses dedicated compute resources for analytics, so analytical workloads do not affect transactional systems.
The platform enables columnar data processing using modern open table formats such as Apache Iceberg and Delta Lake. Through integration with the lakehouse ecosystem, it also makes it possible to query and manage data located on external analytics platforms such as Databricks or Snowflake – all within a secure and controlled PostgreSQL environment.
Analytics Accelerator automatically optimizes data storage by moving less frequently used information to cheaper resources (“cold” data) while maintaining high-performance access to frequently used information (“hot” data). This approach improves query performance and helps significantly reduce storage costs.
The solution also supports modernization of existing data warehouses. It enables a smooth transition from closed solutions, such as Greenplum, to the open PostgreSQL ecosystem without requiring a major infrastructure rebuild and while preserving existing investments. With WarehousePG – a fork of the former Greenplum on the Apache 2 license, binary-compatible with popular Greenplum 6.x/7.x deployments – and 24/7 support, organizations can modernize their analytics environments while retaining full control over their data and freedom for further development.
Tools
Individual plans include access to proprietary EDB tools that support management, integration, and migration, together with professional support, including:
- EDB Postgres Enterprise Manager (PEM) – software with a graphical user interface for advanced management and monitoring of multiple PostgreSQL and EDB Postgres Advanced Server (EPAS) servers.
- EDB Failover Manager (EFM) – software for setting up, monitoring, and controlling HA (High Availability) clusters.
- Replication Server – software enabling replication:
– Oracle – PostgreSQL in both directions;
– Microsoft SQL Server – PostgreSQL in both directions;
– master-master for PostgreSQL databases.
- Data Adapters – adapters for PostgreSQL and EPAS that enable information exchange with other data sources, including HDFS (Hadoop), MongoDB, and MySQL.
- Migration Toolkit – a set of tools that simplify migration from Oracle, Microsoft SQL Server, MySQL, and Sybase databases to PostgreSQL or EPAS.
- Migration Portal – a browser-based portal that supports the assessment and preparation of Oracle database migration to an EDB Postgres environment.
See the full list of EDB tools:
Transparent Data Encryption (TDE) is an optional feature supported by EDB Postgres Advanced Server and EDB Postgres Extended Server from version 15. It encrypts user data stored in the database system. Importantly, this operation is transparent to the user, meaning it does not require changes to applications or existing access policies.
What is encrypted by TDE?
- TDE encrypts files that underlie tables, sequences, indexes (including TOAST tables), and system catalogs, including all views. These files are referred to as data files.
- Write-ahead logs (WAL) and various temporary files used during query processing and database system operation are also encrypted.
- Some elements, such as internal database system metadata (for example transaction status), the file directory structure, or data in foreign tables, are not covered by TDE encryption.
How does TDE affect EPAS performance?
- The performance impact of Transparent Data Encryption (TDE) is low. More information about the impact of this feature on EDB Postgres Advanced Server 15 is available on the EDB website.
How does TDE work?
- TDE prevents unauthorized reading of data located in operating system files on the database server and in backups.
- Data encryption and decryption are managed by the database and do not require application changes or client driver updates.
- EDB Postgres Advanced Server and EDB Postgres Extended Server provide hooks for managing keys outside the database. These allow encryption and decryption using a password or integration with enterprise key management solutions.
Encryption algorithms:
- From version 16, EDB TDE allows users to choose between AES-128 and AES-256 encryption algorithms during Postgres cluster initialization. The choice depends on the balance between performance and security requirements. AES-128 is recommended for environments where performance and lower energy consumption are critical.
More information is available on the vendor documentation
Sovereign Data and Agent Factory is a comprehensive platform that enables rapid launch of modern database and AI environments in a local data center. It is delivered as a ready-to-use plug-and-play package.
The solution integrates EDB Postgres AI software with Dell, Supermicro, HP, IBM Power, and IBM LinuxONE platforms, plus optional NVIDIA GPUs, creating a fully configured ready-to-use environment.
The system enables highly available PostgreSQL clusters with guaranteed availability at the 99.999% level, enabling uninterrupted operation even in the event of hardware failure. Operational automation simplifies infrastructure management: the system automatically allocates resources, handles failover, and enables updates without downtime, significantly reducing administrative effort.
EDB Postgres AI also supports local training and serving of AI models, so sensitive data does not leave the organization’s infrastructure.
Thanks to close integration between the hardware and software layers, the platform provides up to six times higher transactional performance than traditional solutions and up to 90% better price-performance ratio compared with cloud services. The solution works well in modern projects: it accelerates AI deployments, supports application modernization through migration to a modern database, and enables building a private DBaaS service in the customer’s infrastructure.
As part of an EDB subscription, you receive professional support for the installation, configuration, updating, and daily operation of a range of open source tools, including Barman, pgAdmin, PgBouncer, pgBackRest, and many others.
See the full list of open source tools:
Linux Polska Services and Training
Professional services for open source PostgreSQL and Enterprise Postgres – Oracle Compatible (EDB Postgres Advanced Server), delivered by certified Linux Polska experts. Check the services
We are an authorized EDB (EnterpriseDB) training partner – an EnterpriseDB Certified Training Partner. Our experienced, certified trainers deliver courses on Enterprise Postgres – Oracle Compatible (EDB Postgres Advanced Server) and PostgreSQL. Check the training
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FAQ – EDB (Subscriptions, Services, Training)
Under our agreement with EDB (EnterpriseDB), we provide consulting, implementation, and maintenance services for PostgreSQL, Enterprise Postgres – Oracle Compatible (EDB Postgres Advanced Server EPAS), and the remaining elements of the EDB Postgres AI platform. We also offer EDB subscriptions and operate an authorized EDB training and examination center.
We start by analyzing the organization’s needs, then perform a detailed assessment of the environment and propose a solution tailored to business, technical, and regulatory requirements.
EDB (EnterpriseDB) is a global provider of PostgreSQL-based solutions, covering enterprise-class databases, data management and integration tools, and implementation and maintenance services for production environments.
EDB currently publicly presents six main plans: EDB Postgres AI Open Source Support, Enterprise Postgres, Enterprise Postgres Plus, Analytics, Distributed High Availability, and Platform. These are not six different database engines, but six offering levels that group support and components of the EDB Postgres AI platform. The detailed scope of available features depends on the plan, the supported software matrix, and the vendor’s subscription terms.
EDB Postgres AI Open Source Support (E1) is designed for organizations that want to use EDB commercial support for selected open source components in the EDB Postgres AI ecosystem. In practice, this mainly applies to environments based on PostgreSQL, community CloudNativePG, ClickHouse, and WarehousePG. The E1 plan does not replace the Enterprise Postgres (E2) or Enterprise Postgres Plus (E3) plans, which include commercial database variants and additional enterprise-class features. It is the right choice when an organization wants to remain with open source technologies while expecting vendor support, a faster path to issue resolution, and predictable maintenance terms.
The Enterprise Postgres (E2) plan is appropriate when an organization needs enterprise-grade Postgres and operational extensions for production environments. Enterprise Postgres Plus (E3) is worth considering when, beyond the database layer, more advanced migration, governance, and agentic AI scenarios are important. In practice, it is also a natural level for projects requiring broader enterprise features and Oracle-compatible environments, but the exact component scope should be confirmed in an EDB offer or quotation.
The Analytics (E4) plan focuses on the analytics layer: Postgres Analytics Accelerator (PGAA), EDB Postgres AI for WarehousePG, and EDB Postgres AI for ClickHouse. The Distributed High Availability (E5) plan addresses geo-distribution, active-active operation, and very high availability with EDB Postgres Distributed. The Platform (E6) plan combines the earlier areas into one full EDB Postgres AI offering.
Enterprise Postgres – Oracle Compatible (EDB Postgres Advanced Server EPAS) is a commercial PostgreSQL distribution offering Oracle compatibility (including PL/SQL support), advanced enterprise-class features, and professional 24/7 vendor support.
Enterprise Postgres – Oracle Compatible enables organizations to run and maintain demanding business applications in production PostgreSQL environments, providing Oracle system compatibility as well as the stability, scalability, and high availability required for critical use cases.
It is a solution that enables PostgreSQL clusters to be run and managed in Kubernetes to enterprise-class standards, using the CloudNativePG operator as well as EDB extensions and support.
The solution provides cluster lifecycle automation, high availability (primary/standby), integration with backup tools, TDE support, extended LTS support, and the ability to operate in cloud and on-premises environments.
CloudNativePG is a Kubernetes operator for managing the lifecycle of PostgreSQL clusters, providing automatic failover, high availability, streaming replication support, TLS, and point-in-time recovery.
EDB Postgres Distributed is a solution for building distributed PostgreSQL clusters with multi-master replication, automatic failover, and availability at the 99.999% level.
TDE is a data encryption feature available in EDB Postgres Advanced Server and EDB Postgres Extended Server from version 15. It transparently encrypts data files, WAL, and temporary files for applications.
The performance impact of TDE is low. From version 16, users can choose AES-128 or AES-256, depending on security and performance requirements.
WarehousePG is an MPP (Massively Parallel Processing) platform for analytics and data warehousing, enabling petabyte-scale data processing in a shared-nothing architecture.
Analytics Accelerator turns PostgreSQL into a columnar analytics database integrated with the lakehouse ecosystem, accelerating queries by up to 30 times and eliminating the need to build a separate data warehouse.
Agentic AI is a platform for building generative AI (GenAI) applications in a low-code/no-code model, enabling local data processing and AI model deployment without dependence on external providers.
Hybrid Management enables centralized database management in hybrid and multi-cloud environments, offering automation, more than 200 observability metrics, and simplified Oracle migration.
The first step is to contact our team to analyze the organization’s needs and determine which EDB platform components best match its business and technology requirements.
EDB Postgres AI for ClickHouse is an EDB-supported real-time analytics engine based on open source ClickHouse and positioned within the EDB Postgres AI Analytics offering. It is suitable where very low response latency matters – for example in live dashboards, log analysis, monitoring, telemetry, or fraud scoring. In EDB’s architecture, it is complementary to EDB Postgres AI for WarehousePG: ClickHouse handles real-time analytics, while WarehousePG handles deep historical and petabyte-scale analytics. EDB positions both solutions today within the converged analytics model, connected with the PGAA layer and the Iceberg catalog.
