data management Archives

Tech Optimizer

June 20, 2026

EDB Reports Growing Adoption of Postgres AI as Enterprises Build Sovereign AI Foundations

EnterpriseDB (EDB) reported increased global adoption of its EDB Postgres AI (EDB PG AI) platform for managing mission-critical workloads. Research by MIT Technology Review Insights found that organizations prioritizing AI and data sovereignty achieve five times the return on investment. The Industrial Bank of Korea (IBK) migrated 15 core systems to EDB PG AI, reducing licensing costs and enhancing operational flexibility. Shinhan EZ Insurance transitioned its core system to the public cloud using EDB PG AI, achieving 24/7 service and scalability for AI workloads. Other companies like MNTN, Euronext FX, and Kyobo Book Centre are also leveraging EDB PG AI for various applications. EDB has received industry recognition, including being named among the most innovative companies in data and awarded for its data management solutions. EDB PG AI integrates transactional, analytical, and AI workloads, providing a secure and scalable platform for enterprises.

Tech Optimizer

June 20, 2026

pgEdge Announces ColdFront for PostgreSQL, Seamlessly Uniting AI, Analytical and OLTP Workloads

pgEdge ColdFront is a data tiering solution for PostgreSQL that allows seamless access to hot and cold storage without changing application code, reducing storage costs by up to 90%. The cold tier is writable, enabling operations like UPDATE and DELETE on archived rows using standard SQL commands. ColdFront automatically migrates older data to Apache Iceberg in Parquet format, compatible with S3-compatible object stores, while maintaining full accessibility through a single Postgres table name. It enhances performance with the DuckDB vectorized columnar engine, achieving 10-100x faster analytical performance on cold data. ColdFront simplifies data management by automating the movement of cold data to cost-effective storage, addressing challenges like increased storage costs and operational complexities. It allows for compliance tasks, such as GDPR deletion requests, to be executed with a single SQL statement. Key features include a directly writable cold tier, no application changes required, open-source operation, automated partition lifecycle management, cost-effective operations, and distributed access in multi-master clusters. ColdFront is beneficial for sectors like SaaS, IoT, and regulated industries, and is currently available as a production-grade beta, set to be integrated into pgEdge Cloud in the second half of 2026.

Tech Optimizer

June 18, 2026

Companies turn to EnterpriseDB for AI data control

Organizations are increasingly adopting EnterpriseDB's EDB Postgres AI platform due to a rising demand for enhanced control over data in AI systems, particularly in sectors like banking, insurance, retail, and trading. Research from MIT Technology Review Insights indicates that prioritizing AI and data sovereignty significantly predicts success in AI initiatives, with such organizations achieving five times the return on investment. In South Korea, the Industrial Bank of Korea migrated 15 core systems to EDB Postgres AI, citing significant reductions in licensing costs compared to Oracle and improved scalability for future AI services. Shinhan EZ Insurance transitioned its core system to the public cloud using EDB, overcoming challenges related to legacy database licensing and emphasizing the importance of operational stability. Beyond finance, companies like MNTN, Euronext FX, and Kyobo Book Centre have adopted the platform to reduce vendor reliance, manage data workloads, and enhance compliance control. MNTN uses EDB for large-scale analytical processing, Euronext FX has implemented it across four data centers, and Kyobo Book Centre migrated from a costly data warehouse to the EDB solution. A common trend among these deployments is the use of a single Postgres-based platform for transactional processing, analytics, and AI tasks, reflecting an industry initiative to simplify operations and reduce costs. Hensley noted the critical convergence of AI systems with operational data, as AI agents operate against live data in high-volume workflows, highlighting the drawbacks of using separate platforms for transactions and analytics. EnterpriseDB has also received industry accolades for its data management and contributions to the open-source community, reinforcing its market position.

Tech Optimizer

June 17, 2026

Databricks Puts AI Search Inside Postgres

Databricks has introduced Lakebase Search, a feature that integrates advanced search capabilities into its Lakebase Postgres database, currently in beta on AWS and Azure. This feature aims to enhance AI agent development by embedding native retrieval functions within the data backend. It addresses the challenge of "Vector Bloat Cost" by utilizing tiered storage for optimized data access and retrieval efficiency. Lakebase Search includes two new Postgres extensions, lakebase_vector and lakebase_text, which enable hybrid search capabilities that combine vector and full-text search functionalities. This integration streamlines the AI agent loop, improving agent-first ergonomics and allowing developers to create more efficient AI systems.

Tech Optimizer

June 11, 2026

As the Agentic Era Reshapes the Data Layer, Enterprises Build Their Sovereign Foundation on EDB Postgres® AI

EnterpriseDB (EDB) has reported a significant increase in global adoption of its EDB Postgres® AI (EDB PG AI) platform, indicating a trend among enterprises to standardize operations on a robust platform for managing mission-critical workloads. Research by MIT Technology Review Insights, in collaboration with EDB, shows that AI and data sovereignty are critical predictors of success in AI initiatives, with organizations prioritizing control over their data achieving a fivefold return on investment. The Industrial Bank of Korea (IBK) transitioned 15 core systems to EDB PG AI for greater operational flexibility and cost efficiency, reducing licensing costs compared to Oracle. Shinhan EZ Insurance migrated its entire core system to the public cloud to ensure uninterrupted service. Other enterprises leveraging EDB PG AI include MNTN, Euronext FX, and Kyobo Book Centre, which have benefited from enhanced stability, reduced vendor risk, and improved compliance. EDB is recognized as a leader in the field and will host a global digital event titled "The Era of Agentic AI Data" on June 25. EDB Postgres® AI is positioned as an open, enterprise-grade sovereign data and AI platform, supporting secure, compliant, and scalable solutions across various environments.

Tech Optimizer

June 8, 2026

Pentasystem partners with EDB to target sovereign AI with EDB PostgreSQL database

Pentasystem Technology has partnered with EDB to enhance enterprise-grade data management using the EDB PostgreSQL database. This partnership, announced on June 8, aims to provide cost-effective and stable database solutions amidst rising costs from existing database management systems. Pentasystem plans to explore projects related to cloud computing, artificial intelligence, and data warehousing, focusing on creating a comprehensive integrated data platform. Jong-jun Jang, CEO of Pentasystem, noted the synergy between EDB's technology and Pentasystem's implementation expertise, aiming to deliver improved performance and cost savings to clients in various sectors.

AppWizard

June 5, 2026

Chrome is faster than ever thanks to a massive under-the-hood overhaul

Google Chrome has achieved scores of 61 in Speedometer 3.1 and 469 in JetStream 3, marking a 10% increase in JetStream and a 5% boost in Speedometer compared to the previous year. These benchmarks were measured on a MacBook Pro with macOS 26.0.1 and the Apple M5 chip. Enhancements in Chrome's performance are largely due to improvements in the V8 JavaScript engine, which included optimizations for asynchronous tasks, string comparison, and data sorting. The Chrome team has improved code optimization decision-making and made advancements in BigInt handling and memory allocation for security. Additionally, Chrome has upgraded WebAssembly performance, optimizing internal data management and compiler times. The rendering engine, Blink, has been tuned for better code translation into visual pages, and page loading has been improved through SIMD processing and optimizations in typography and graphics handling.

Tech Optimizer

June 4, 2026

EDB adds quorum commit to distributed Postgres 6.4

EDB has released version 6.4 of its Postgres Distributed (PGD) solution, which includes enhancements such as quorum commit, native connection pooling, and support for PostgreSQL large objects. The quorum commit feature ensures a unified transaction outcome across cluster nodes before finalizing a transaction, addressing potential risks from conflicting writes in distributed systems. This update targets organizations in sectors like banking, payments, telecommunications, and infrastructure, aiming to provide the same consistency guarantees previously reliant on proprietary databases. The Connection Manager now includes native connection pooling, reducing the need for external connection poolers and streamlining operations by integrating with PGD's Raft consensus layer. This integration allows for automatic route adjustments during failover and improved monitoring capabilities. Additionally, the update expands replication support to include PostgreSQL large objects, enhancing the applicability of distributed Postgres for managing mixed data sets in sectors like government, healthcare, and financial services. EDB also noted a Gartner forecast that by 2030, over 75% of enterprises in Europe and the Middle East will have repatriated workloads to their home jurisdictions, emphasizing the importance of consistent data management across locations. EDB aims to strengthen Postgres's position in the market by focusing on transaction integrity in distributed environments while minimizing reliance on additional infrastructure components.

Tech Optimizer

May 26, 2026

Devart adds AI assistant & PostgreSQL tools to dbForge

Devart has released dbForge 2026.1, which includes enhancements to its database software suite with advanced AI capabilities and expanded tools for PostgreSQL. The dbForge AI Assistant has been upgraded to utilize database index metadata for generating and refining SQL queries, allowing it to generate context-aware queries, optimize SQL commands, identify redundant or missing indexes, and analyze errors. The update introduces a new visual Query Builder for PostgreSQL, enabling users to create queries through a drag-and-drop interface, and an enhanced SQL Editor with syntax highlighting and index name suggestions. A visual Table Editor for PostgreSQL has also been added for managing table properties. Improvements to schema comparison and synchronization for PostgreSQL and Amazon Redshift have been made, supporting a wider array of servers and offering more mapping options. The update includes pinned document tabs for easy access to frequently used scripts and queries. dbForge 2026.1 is available for various products in the dbForge lineup, and customers with active subscriptions can access the update immediately.

Tech Optimizer

May 22, 2026

AI Data Platform Modernization in Financial Services | Microsoft Azure PostgreSQL | The Microsoft Cloud Blog

Financial service institutions are increasingly exploring AI applications to alleviate operational burdens and gain a competitive edge, but face challenges with legacy data infrastructures that may not meet modern demands. The need for continuous availability and compliance is critical, as even brief downtime can have catastrophic consequences. Aging databases struggle with high-volume transactions and real-time analytics, prompting a focus on predictive maintenance and infrastructure automation. Microsoft Azure's PostgreSQL managed services, including Azure Database for PostgreSQL, address these challenges by providing flexible performance scaling and ensuring high availability. The service can trigger automatic failover within 60 to 120 seconds during outages, guaranteeing up to a 99.99% availability SLA. It supports read replicas for offloading analytics without impacting primary database performance and offers layered security controls, including encryption at rest and network isolation. Azure Database for PostgreSQL simplifies compliance with standards such as PCI DSS and SOC by enabling centralized identity and access management through Microsoft Entra ID authentication. It integrates seamlessly with the Microsoft ecosystem, allowing organizations to connect data to analytics and AI services without complex ETL processes. BNY Mellon successfully modernized its data platform by migrating to Azure Database for PostgreSQL in nine months, achieving improved resilience and allowing engineering teams to focus on innovation. The platform supports high availability, backup capabilities, and extensibility, empowering financial institutions to remain innovative in the era of AI.