PostgreSQL

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.

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.

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.

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 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