PostgreSQL

Quest solutions for Postgres help you meet scaling and integration requirements, as well as active-active and reliable high-availability (HA) and disaster recovery (DR) options to ensure service quality, meet SLAs and ensure business continuity. Receive unparalleled support for Postgres administration, configuration and development with our comprehensive toolset. Simplify your Postgres management with SQL tools for increased productivity and data protection.

PostgreSQL
PostgreSQL Management Replication for HA/DR Oracle to PostgreSQL Migration Performance & Optimization
Benefits Resources

Key benefits

Modernizing Technology

Postgres is a mature platform, and has evolved with new features, making it an excellent choice for application modernization (replatforming or refactoring), with advanced features such as JSON support, scalability options, full-text search and scalability options. However, be aware that the Postgres community ecosystem alone may not support extremely advanced requirements.

Security

Postgres is renowned for its strong security due to access controls, encryption and regular updates, making it an ideal choice for secure applications. Quest offers auxiliary software that adds SSL, access controls and compliance features to Postgres for enhanced security.

Cost Avoidance

Postgres and Oracle have differences in functionality, scalability and licensing. However, for most use cases, Postgres is a capable and cost-effective alternative to Oracle thanks to its reliability, flexibility, security and active community support. And since Postgres is open-source, it avoids the licensing costs of Oracle and has a lower total cost of ownership.

Cloud DBaaS

PostgreSQL comes in community and enterprise flavors, such as EnterpriseDB and ZomboDB, and can also be found on cloud DBaaS providers like Amazon Web Services (Amazon RDS for PostgreSQL and AWS Aurora PostgreSQL), Google Cloud Platform, and Microsoft Azure (Azure Database for PostgreSQL). These options offer convenient and cost-effective ways to manage PostgreSQL databases with additional features like backups and security.

Data intelligence

PostgreSQL is often the go-to choice for business intelligence scenarios, thanks to its scalability and advanced features, such as support for JSON, advanced data types, full-text search, and data partitioning. It's a flexible and powerful option for data analysis and reporting, thanks to its extensibility and support for SQL and other programming languages. To ensure a successful implementation, effective data modeling is critical.

Performance improvement

Poor tuning and misconfiguration of Postgres can lead to slow performance, security vulnerabilities and data loss. This can be prevented by setting optimal parameters, using monitoring tools like pgBadger, PGBouncer or Foglight, and seeking expert help. Regular maintenance, updates and testing can also prevent configuration issues from arising. Load balancing and offload reporting can also be effective.

Multiple Use Cases

Postgres’ extensibility and design enable it to solve a wide range of use cases, including mobile apps, microservices, data warehousing, analytics apps, CMS and e-commerce applications, making it a highly versatile and reliable choice for a wide range of applications.

Disaster Recovery

Several options are available for disaster recovery in Postgres, including built-in features like Point-in-Time Recovery (PITR), replication and High Availability (HA) clusters, as well as open-source solutions like Barman and pgBackRest. As with all solutions, they have their limitations. Enterprise-grade, cross-platform disaster recovery solutions from Quest are highlighted below.

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Capabilities

Performance & Optimization

Quest offers performance improvement tools that go beyond commonly used Postgres community modules like pg_stat_statements, pg_prewarm, pg_partman, and pg_repack. Quest’s solutions help organizations gain control and confidence over their mission-critical systems by providing specialized monitoring, diagnostics, and optimization for Postgres databases. With Quest's tools, users can identify slow queries, blocked transactions, and other performance issues, troubleshoot and tune databases for high performance and uptime, while gaining visibility into workload analysis, changes, and degradation. Monitor and track multi-cloud infrastructure performance for optimized database operations.

Cloud Cost Management

Quest offers pre-, mid- and post-migration support to optimize Postgres workloads, manage and control costs and increase performance in the cloud. Quest’s solution includes usage analysis, optimization recommendations, and waste reductions and identify cloud cost-saving opportunities. It can also help determine which workloads are best suited for the cloud or on-premises, enabling better budgeting and preventing unexpected expenses. Quest supports various Postgres flavours, including Azure Database for PostgreSQL Hyperscale, AWS Aurora PostgreSQL, and CloudNativePG.

PostgreSQL Replication

SharePlex by Quest offers scalable active-active for your High Availability and Disaster Recovery requirements. Additionally, it will support your near-zero downtime migration needs. It supports community edition, Azure Database for PostgreSQL, Amazon RDS for PostgreSQL, and AWS Aurora PostgreSQL. SharePlex provides a cost-effective and flexible solution for replicating data to different targets such as Oracle, Snowflake, MySQL, SQL Server, Kafka, Azure Event Hub, XML, JSON or SQL File Formats.

Modernizing or Migration

It's important to properly identify dependencies and choose a migration strategy before moving away from your legacy database platform. Quest can assist with the migration model that you choose. By providing solutions for tasks such as creating the target database, schema and code transformations, ETL/ELT or API transformations, data migration and loading, data/schema comparison, performance tuning, testing, rollback recovery, and ongoing data infrastructure monitoring. Moreover, Postgres-specific capabilities can further reduce migration risks with bi-directional replication that enables active-active as-is and to-be scenarios, giving you cutover flexibility.

PostgreSQL Management

Quest offers DBA tools to develop and administrate Postgres, augmenting popular open-source tools like pgAdmin. These tools offer advanced features like code analysis, debugging, schema comparison, team collaboration, and database diagramming. Quest solutions allow for creating/modifying tables/views, managing users/roles, and writing complex SQL code in an editor. They also include schema compare, file system synchronization, JSON editor, and session browser. Cross-platform data compare supports comparison between different platforms like Oracle and Postgres, aiding in migration and management.

Business Continuity

Postgres has built-in DR features, and open-source solutions like Barman and pgBackRest are available, but for the enterprise, higher-grade solutions are necessary. Quest solutions will help you achieve enterprise-grade business continuity. Continuous data protection is crucial for fast recovery from ransomware attacks. Higher backup compression rates, deduplication, compression, encryption and intelligent cloud tiering can help reduce cloud storage costs. Bi-directional replication with conflict resolution is an ideal solution for active-active architectures and HA requirements. Additional DR options are available to you with NetVault Plus and SharePlex.

PostgreSQL Development

The choice between pgAdmin and third-party integrated development environments (IDEs) depends on your specific needs and preferences. Quest's solutions accelerate Postgres app development, reducing cycle time while maintaining quality and reducing risk. Offering features such as SQL editor, query monitoring, data import/export, database snapshots and advanced JSON editing capabilities. Also supporting code debugging, load testing and database profiling. Working with multiple platforms beyond Postgres, including MySQL, MariaDB and Amazon RDS. Additionally, providing integration with DevOps workflows to streamline development processes.

Data Modeling

Postgres is frequently used for OLAP applications due to its ability to handle intricate queries and large datasets. However, data modeling is critical for enterprise organizations to guarantee data accuracy, consistency, and compliance. erwin Data Modeler helps design, visualize, and document Postgres database models, including generating SQL code, supporting reverse-engineering and forward-engineering, and facilitating collaboration. erwin also streamlines migrations, identifies source schemas, and generates optimized Postgres schemas to reduce errors and ensure optimal performance. The tool promotes data consistency, integration, and quality, improving overall database functionality.

Data Governance

Postgres is commonly used for OLAP applications, but what about data governance? A comprehensive solution like erwin Data Intelligence can help visualize Postgres and other data sources within a business-aligned framework, promoting stakeholder understanding and trust. erwin enhances data governance with tools and visibility to streamline workflows, find assets, and capture organizational knowledge through community data asset ratings and business asset communication. The tool reduces dependence on technical resources while enhancing analysis and decision-making, offering a full-scale data democratization solution for Microsoft, Oracle, Postgres, Snowflake, and MongoDB stacks.

Data Cleaning and Preparation

Data analysts using Postgres still face challenges with data cleaning, preparation, and manipulation. Data modeling and cataloging are essential for accurate, well-organized data for analysis. Toad Data Point simplifies data preparation and analysis with a user-friendly interface, drag-and-drop features, visual data exploration, and connectivity options to various data sources like Postgres, Snowflake, MongoDB, Oracle, and SQL Server. Toad Data Point automates data profiling and cleansing tasks, improving efficiency and productivity. The tool enables analysts to focus on delivering insights and value to their organizations instead of being burdened with data processing tasks