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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.
MS Office Pro Plus 2019 and Windows 11 Pro are now just $26
Winsage
July 10, 2026

MS Office Pro Plus 2019 and Windows 11 Pro are now just $26

The All-in-One Microsoft Office Pro 2019 for Windows: Lifetime License + Windows 11 Pro Bundle is priced at .99, reduced from its regular price of 9.99. It includes Microsoft Office Professional Plus 2019, which offers offline access to applications like Word, Excel, PowerPoint, Outlook, OneNote, Publisher, and Access, along with updates for improved functionality. The bundle also features Windows 11 Pro, which includes tools for multitasking and organization, as well as advanced options for business network management and device security.
pgEdge Announces ColdFront for PostgreSQL, Seamlessly Uniting AI, Analytical and OLTP Workloads
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.
Samsung Driving Insights app could be the backseat driver no one asked for
AppWizard
May 5, 2026

Samsung Driving Insights app could be the backseat driver no one asked for

A newly leaked build of Samsung's One UI 9 reveals an app called Driving Insights, which uses artificial intelligence to provide personalized feedback on driving habits. The app analyzes driving behaviors through location tracking and AI algorithms, generating weekly summaries for users. It assesses aspects such as speed and braking intensity, and activates when a phone connects to a vehicle's Bluetooth. Users can filter reports by time and distance, receiving feedback ranging from commendations to constructive advice. The app will also monitor rapid acceleration and sharp turns. Driving Insights aims to enhance driving practices, but raises concerns about the reliability of AI-generated advice in promoting safe driving.
New infosec products of the week: March 13, 2026
Tech Optimizer
March 13, 2026

New infosec products of the week: March 13, 2026

Singulr AI has launched Agent Pulse, providing runtime governance and visibility for AI agents. Terra Security introduced Terra Portal, a desktop application that accelerates vulnerability discovery in live production environments. Mend.io released System Prompt Hardening to address weaknesses in AI system prompts. OPSWAT rolled out MetaDefender Aether, an AI-driven decision engine for rapid zero-day detection at the perimeter level. Vicarius announced vIntelligence, integrating agentic intelligence and continuous validation into its security offerings. Binary Defense launched NightBeacon, an AI-enhanced security operations platform for SOCs. SOC Prime introduced DetectFlow Enterprise, shifting threat detection to the data ingestion layer for real-time identification.
Postgres + ClickHouse: The OSS Stack To Handle Agentic AI Scale
Tech Optimizer
December 10, 2025

Postgres + ClickHouse: The OSS Stack To Handle Agentic AI Scale

Postgres is a popular choice for developers due to its flexibility and reliability, but it faces limitations as applications scale, especially in AI-driven environments where rapid growth increases the demand for analytical capabilities. To overcome these challenges, a trend has emerged to combine Postgres with ClickHouse, where Postgres handles transactional workloads and ClickHouse manages analytics. There are two main methods for integrating ClickHouse with Postgres: split or dual-write, where applications write data to both databases based on use cases, and change data capture (CDC), where all writes occur in Postgres, which serves as the source of truth, streaming changes to ClickHouse for analytical queries. The integration aims to leverage the strengths of both databases, with some queries remaining on Postgres and others transitioning to ClickHouse. Developers must identify which queries to migrate and can use foreign data wrappers (FDWs) to simplify the integration process. The ecosystem around Postgres and ClickHouse has developed into a robust stack with various open source and commercial tools to support production-scale operations, including PeerDB, which provides high-throughput PostgreSQL CDC and reliable replication into ClickHouse. As applications increasingly start with Postgres and later adopt ClickHouse, the transition timeline is shortening, indicating a shift towards managed services and deeper integrations for a seamless experience between transactional and analytical systems.
SereneDB lands $2.1M to fuse search, analytics and Postgres into one engine
Tech Optimizer
December 3, 2025

SereneDB lands $2.1M to fuse search, analytics and Postgres into one engine

Berlin-based startup SereneDB has completed its Pre-Seed funding round, raising .1 million from venture funds Entourage and High-Tech Gründerfonds (HTGF). The company aims to improve traditional search and analytics tools, which struggle with dynamic datasets. SereneDB integrates live data and analysis within a single system, combining a search engine with OLAP execution under PostgreSQL for real-time data ingestion and updates. The platform allows for rapid retrieval of complex results and supports insightful queries from both human users and AI agents. CEO Alexander Malandin and CTO Andrey Abramov lead the company, drawing on their extensive experience in IT and database design. They aim to create a unified engine that integrates search and database functionalities, addressing the limitations of existing enterprise search technologies. The initial response from the developer community has been positive, with interest in SereneDB's capabilities, particularly among startups and existing search users. The funding will help expand the team and support open-source development.
Introducing pg_lake: Integrate Your Data Lakehouse with Postgres
Tech Optimizer
November 17, 2025

Introducing pg_lake: Integrate Your Data Lakehouse with Postgres

pg_lake is a tool developed by the team at Crunchy Data, now part of Snowflake, that provides a native Postgres experience for working with open data lakehouse formats like Iceberg and Parquet. The initiative began with the launch of Crunchy Bridge for Analytics over 18 months ago, aimed at addressing the fragmentation of data between Postgres databases and object storage. The decision to open source pg_lake is intended to establish a standard for the Postgres ecosystem, empower developers to create modern applications, and demonstrate Snowflake's commitment to enhancing Postgres capabilities. pg_lake is now available for exploration and use by developers.
Google's analytical October Workspace Drop simplifies data in Sheets, bolsters AI security
AppWizard
November 1, 2025

Google’s analytical October Workspace Drop simplifies data in Sheets, bolsters AI security

Google has released updates for its Workspace suite in October, enhancing data comprehension, structure, and formatting in Sheets through Gemini AI. Key features include improved understanding of complex instructions for data manipulation. Google Drive has introduced a ransomware detection feature for desktop users, which alerts them to suspicious activity and pauses data synchronization. Gmail now includes end-to-end encryption for emails to enhance privacy and security. These updates build on August's enhancements, which featured file summaries for Chat, Video Overviews for NotebookLM, and the Veo 3 model in the Vids app, with the recent transition to Veo 3.1 providing greater creative control, improved sound capabilities, and more realistic textures.
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