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What Is Serverless PostgreSQL?
Tech Optimizer
July 12, 2026

What Is Serverless PostgreSQL?

Serverless PostgreSQL is a fully managed cloud database model that separates compute and storage, allowing them to scale independently and automatically based on demand. It eliminates the need for manual infrastructure provisioning and capacity planning, charging only for active usage. Unlike traditional PostgreSQL setups, which require continuous resource allocation and manual scaling, serverless PostgreSQL provisions resources on demand and can scale down to zero during idle periods. Serverless PostgreSQL integrates with serverless compute platforms, enabling analytical queries to access the same data within a unified architecture. Key differences between traditional and serverless PostgreSQL include manual versus automatic provisioning and scaling, fixed versus usage-based billing, and high versus reduced operational overhead. Lakebase architecture is an emerging model that combines transactional databases with lakehouse foundations, allowing operational and analytical workloads to coexist on a single platform. This architecture minimizes data duplication and simplifies access, enhancing data management and analysis. Serverless PostgreSQL operates on a cloud-native architecture that enhances efficiency by allowing compute and storage to scale autonomously. It features scale-to-zero behavior, where compute resources are suspended when inactive and reactivated upon new queries. Major providers include Databricks Lakebase, Amazon Aurora Serverless v2, and Neon, each offering varying capabilities and integrations. Pricing for serverless PostgreSQL typically includes charges for compute resources, storage, and data transfer, with costs fluctuating based on workload activity. Cold start latency is a performance consideration, as reactivating compute resources can introduce delays. Strategies to mitigate this include keeping resources partially active or selecting providers with minimal cold start impacts. Serverless PostgreSQL is well-suited for OLTP workloads, while lakebase architecture is better for AI development, variable workloads, and environments requiring rapid iteration. Setting up serverless PostgreSQL involves choosing a provider, creating a database instance, and configuring access settings. It can also be used alongside serverless compute platforms for analytics, further extending its capabilities.
DBA2: Configuration and Monitoring of PostgreSQL 16 is now available in English
Tech Optimizer
July 9, 2026

DBA2: Configuration and Monitoring of PostgreSQL 16 is now available in English

Postgres Professional has translated the DBA2: Configuration and Monitoring of PostgreSQL 16 course into English. This four-day program is designed for PostgreSQL administrators with basic Unix skills and knowledge equivalent to the DBA1 course. The curriculum covers topics such as Multi-Version Concurrency Control (MVCC), isolation levels, vacuuming, buffer cache management, write-ahead logging (WAL), and server upgrades. Participants will learn to configure PostgreSQL parameters, monitor the server, manage localization settings, and handle extensions. The course materials include a student guide for setting up a virtual machine and performing practical tasks. The translation was done by Elena Sharafutdinova, with assistance from Ilya Bashtanov and Alexander Meleshko.
Why most AI projects fail: It’s infrastructure and people
Tech Optimizer
July 6, 2026

Why most AI projects fail: It’s infrastructure and people

AI technology faces significant criticism for its low success rates in delivering business results, with studies indicating a 95% failure rate for enterprise AI solutions and only 9% of organizations in Europe, the Middle East, and Africa achieving measurable outcomes from AI initiatives. Four main shortcomings hinder the transition of AI prototypes to production: 1. Deployment Flexibility: Prototyping environments often lack the necessary flexibility for large-scale production deployment, particularly in regulated sectors. 2. Data Sovereignty: Production transitions can complicate data sovereignty at enterprise and regional levels. 3. Reliability: High availability is crucial for production environments, but vendor-managed platforms may not guarantee seamless upgrades or hardware swaps without downtime. 4. Disconnect in Tool Selection: Developers often choose tools for prototyping without considering production implications, leading to difficulties in scaling. The shortage of database administrators (DBAs) is exacerbated by the increasing use of AI tools, with 84% of developers utilizing them according to a 2025 survey. To address these challenges, Merrick suggests leveraging AI DBA agents to support human DBAs and improve database management efficiency. He emphasizes the need for both robust data infrastructure and enhanced operational support to improve the success rates of AI prototypes.
Get Office 2021 + Windows 11 Pro lifetime access for just $39.19 today only
Winsage
July 5, 2026

Get Office 2021 + Windows 11 Pro lifetime access for just $39.19 today only

Consumers can purchase lifetime licenses for Microsoft Office Professional 2021 and Windows 11 Pro for .19, reduced from 9.99, using the promotional code JULY30 until July 5 at 11:59 p.m. PT. The bundle allows installation on a single compatible Windows PC without ongoing subscription fees. Microsoft Office Professional 2021 includes applications such as Word, Excel, PowerPoint, Outlook, OneNote, Access, Publisher, and Teams. Windows 11 Pro features include BitLocker, Hyper-V, Windows Sandbox, Azure AD support, and Copilot.
Latest EnterpriseDB features unify data for AI development
Tech Optimizer
June 24, 2026

Latest EnterpriseDB features unify data for AI development

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.
Neon vs Supabase 2026: $1B Deal, Scale-to-Zero
Tech Optimizer
June 14, 2026

Neon vs Supabase 2026: $1B Deal, Scale-to-Zero

Neon and Supabase are two managed PostgreSQL platforms with distinct approaches. Neon adopts a serverless architecture that separates storage and compute, allowing databases to scale to zero when idle and enabling rapid database branching. Supabase, in contrast, provides a comprehensive backend-as-a-service that includes authentication, file storage, real-time subscriptions, and edge functions, all built around PostgreSQL. In 2025, Databricks acquired Neon for approximately billion, motivated by the observation that around 80% of databases created on Neon were generated by AI agents. Post-acquisition, users experienced reduced storage costs and improved pricing structures, although concerns arose regarding Neon's independence. Neon features instant database branching and a scale-to-zero capability, while Supabase offers a fully integrated backend with built-in authentication and storage. Neon operates on a usage-based pricing model, whereas Supabase has a flat-tier pricing structure. Both platforms support the pgvector extension for AI applications, but Supabase is fully open-source and allows for self-hosting, unlike Neon. The developer community recognizes Supabase for its ease of use and rapid application development capabilities, while Neon is praised for its innovative serverless features and cost efficiency. Migration between the two platforms is simplified due to their shared PostgreSQL foundation.
Pentasystem partners with EDB to target sovereign AI with EDB PostgreSQL database
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.
Supabase Raises $500M Series F
Tech Optimizer
June 5, 2026

Supabase Raises $500M Series F

Supabase has secured 0 million in a Series F funding round, raising its post-money valuation to .5 billion and bringing its total funding to over 0 million. The round was led by GIC, with participation from existing investors including Accel, Y Combinator, Craft, Felicis, Peak XV, and Coatue, as well as new investments from Stripe and Salesforce Ventures. The funds will be used to enhance Supabase's infrastructure and launch Multigres, an open-source horizontal scaling layer for Postgres. Supabase, founded in 2020 by CEO Paul Copplestone, provides a comprehensive suite of backend infrastructure tools for developers.
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