Postgres

Tech Optimizer
June 24, 2026
EnterpriseDB is addressing challenges in AI development projects, particularly data sprawl, by introducing features in the EDB Postgres AI platform. The platform now includes Converged Analytics, which bridges operational and analytical data without complex ELT pipelines, and the Agentic Database, which transforms the system into an autonomous database that proactively manages over 200 metrics. These innovations aim to consolidate various data types into a single governed platform, reducing complexity and costs associated with database administration. The update also introduces governance capabilities at the data layer, expected to be available in the latter half of 2026, and a bring-your-own-cloud option for applying AI to data. Customer feedback has influenced these developments, highlighting the need for reduced manual intervention in data management.
Tech Optimizer
June 24, 2026
EDB's per-core pricing model offers predictable costs compared to consumption-based cloud data platforms, aiding organizations in budgeting. However, predictable billing does not guarantee lower costs, as high-speed operational data processing requires more expensive hardware than lakehouse storage solutions. EDB's architecture, built on a unified Postgres-Iceberg foundation, streamlines data governance by reducing the need for multiple specialized data stores, leading to fewer platforms to manage and enhancing operational efficiency and data governance protocols.
Tech Optimizer
June 23, 2026
A critical security vulnerability, SVD-2026-0603 (CVE-2026-20253), has been identified in Splunk Enterprise versions 10.0.0 through 10.0.6 and 10.2.0 through 10.2.3. This flaw allows unauthenticated, remote attackers to create or truncate arbitrary files on the host system by exploiting the PostgreSQL Sidecar Service endpoints. The vulnerability is actively exploited, with public proof-of-concept code available, and has been added to the CISA Known Exploited Vulnerabilities (KEV) list. Successful exploitation can lead to full remote code execution (RCE) as the Splunk user. The vulnerability arises from inadequate authentication controls on the PostgreSQL Sidecar Service endpoints, specifically /v1/postgres/recovery/backup and /v1/postgres/recovery/restore, which are accessible without authentication. It is classified under CWE-306: Missing Authentication for Critical Function and has a CVSS v3.1 base score of 9.8 (Critical). Attackers can exploit the vulnerability by sending crafted HTTP POST requests to the exposed endpoints, allowing them to create or truncate files and potentially execute malicious scripts. Indicators of compromise include unexpected files in directories such as /tmp/ or /opt/splunk/var/run/supervisor/pkg-run/, modified Splunk Python scripts, and unusual outbound connections from Splunk to unknown PostgreSQL servers. The vulnerability aligns with several MITRE ATT&CK techniques, including T1190 (Exploit Public-Facing Application) and T1059 (Command and Scripting Interpreter). Active exploitation of CVE-2026-20253 has been confirmed, and it is likely that both opportunistic cybercriminals and sophisticated threat actors will use this exploit. The affected versions of Splunk Enterprise are 10.2.0 through 10.2.3 and 10.0.0 through 10.0.6, with the issue resolved in versions 10.2.4 and 10.0.7. Organizations are advised to upgrade to fixed versions or disable the PostgreSQL Sidecar Service as a mitigation strategy.
Tech Optimizer
June 23, 2026
Organizations are consolidating their fragmented database environments with Snowflake Postgres, phasing out outdated systems and simplifying multivendor setups without extensive code rewrites. Ericsson migrated four legacy databases to Snowflake Postgres, achieving a 99% reduction in data processing time. SimCorp's transition to Snowflake Postgres resulted in a tenfold increase in disk operation speeds. Sigma Computing provides real-time analytics using Snowflake Postgres, eliminating the need for external systems. BlueCloud supports low-latency transactional workloads and analytics on a single platform. Superblocks enables developers to create full-stack applications using Snowflake CoCo, leveraging SQL tools against live data. Snowflake Postgres is approximately four times faster than Databricks Lakebase and has a 99.95% published uptime SLA. It operates on Postgres 18 and accommodates up to 64 TB of storage, surpassing Lakebase's 16 TB limit. Snowflake Postgres simplifies management with in-place major version upgrades and supports standard logical replication, enhancing flexibility for data movement and integration.
Tech Optimizer
June 22, 2026
A new initiative has been launched to enhance user experience across various platforms by focusing on user-centric design, accessibility enhancements, and cross-platform compatibility. Developers are encouraged to adopt best practices, and user feedback will be integral to future updates. Community engagement is prioritized through workshops and forums, and partnerships with educational institutions are being explored to train a new generation of developers.
Tech Optimizer
June 22, 2026
Postgres, originally developed by Michael Stonebraker in the early 1980s, is an open-source database system that evolved from Ingres. It was designed to handle complex data types and introduced user-defined data types, operators, and functions, leading to the support for abstract data types (ADTs). The initial commercialization of Postgres occurred through a startup named Illustra, later acquired by Informix. In 1995, graduate students Andrew Yu and Jolly Chen revived Postgres, transitioning it from QUEL to SQL, resulting in Postgre95, which evolved into PostgreSQL. Today, Postgres is one of the most popular database systems globally, known for its extensibility and high code quality. However, it currently lacks features like file-level encryption (TDE), which are standard in commercial systems, relying instead on the operating system for encryption. Efforts to implement TDE have faced challenges due to the complexity of required code changes.
Tech Optimizer
June 20, 2026
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
PostgreSQL version 18 has deprecated MD5 password authentication in favor of SCRAM-SHA-256, with a new parameter, md5_password_warnings, enabled by default to log deprecation warnings. It has enhanced monitoring capabilities by adding columns to pg_stat_database and pg_stat_statements to track parallel worker activity, with the default max_parallel_workers_per_gather set to 0 in Aurora PostgreSQL. The pg_stat_subscription_stats view now includes new columns for tracking conflict types in logical replication. Optimizer statistics are automatically transferred during upgrades, while uuidv7() generates timestamp-ordered UUIDs. The default streaming option for CREATE SUBSCRIPTION has changed to parallel, and the idle_replication_slot_timeout parameter automatically invalidates inactive replication slots. Enhancements to the COPY command include REJECT_LIMIT for error tolerance and a silent LOG_VERBOSITY level. OLD and NEW aliases have been introduced in RETURNING clauses for various DML commands.
Tech Optimizer
June 20, 2026
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 20, 2026
Inference is becoming crucial in enterprise AI, presenting challenges in data transport to compute environments, which can increase costs and security risks. Enterprises aim to maintain data integrity and avoid multiple copies. Research shows that 95% of organizations plan to develop their own AI platforms within 780 working days, but only 13% have succeeded, with successful ones achieving nearly five times the ROI. Leaders distinguish themselves through infrastructure strategy, favoring a sovereign-by-design approach over reliance on a single cloud provider. Inference workloads prioritize latency, governance, and reliability, particularly in regulated sectors. Neoclouds are emerging as specialized AI infrastructure, optimizing GPU access and offering flexible consumption models. Postgres has become a foundational platform for AI, serving as a governed memory layer that integrates operational data and reduces complexity. Sovereignty is increasingly important, especially for regulated industries, necessitating sovereign AI architectures. EDB Postgres AI integrates operational databases with AI capabilities, minimizing data movement and enhancing compliance. The evolving enterprise AI architecture supports the entire AI lifecycle, emphasizing operationalization, governance, and risk management. Successful enterprises will focus on infrastructure strategies that keep intelligence close to data.
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