database Archives

Winsage

January 15, 2026

Microsoft updates Windows DLL that triggered security alerts

Microsoft has resolved an issue where third-party security applications mistakenly flagged the WinSqlite3.dll component of the Windows operating system as vulnerable. This issue affected various systems, including Windows 10, Windows 11, and Windows Server 2012 through 2025. The flagged vulnerability was linked to a memory corruption issue (CVE-2025-6965). Microsoft released an update to the WinSqlite3.dll component in updates from June 2025 and later, advising users to install the latest updates for their devices. WinSqlite3.dll is a core component of Windows, distinct from sqlite3.dll, which is not part of the operating system. Microsoft had previously addressed other false positive issues affecting its Defender for Endpoint platform.

Tech Optimizer

January 14, 2026

Introducing PostgREST, a REST API for any PostgreSQL database written in Haskell

PostgREST is a web server developed in Haskell that converts PostgreSQL databases into RESTful APIs, offering a more efficient and standards-compliant alternative to manual CRUD programming. It achieves subsecond response times for up to 2000 requests per second, utilizing the Warp HTTP server and offloading tasks like JSON serialization and data validation to the database. Authentication is managed through JSON Web Tokens (JWT), with authorization based on database-defined roles. PostgREST avoids using Object Relational Mappers (ORMs) and encourages declarative constraints in databases to maintain data integrity. User feedback has been mostly positive, although some have expressed concerns about complexities in production environments.

Tech Optimizer

January 14, 2026

PostgreSQL Partnership Aims to Revolutionize Banking Systems in India

OpenSourceDB and Ahana Systems have partnered to implement PostgreSQL in Indian banking systems to meet the demand for secure and cost-effective database solutions. Their collaboration focuses on migrating existing systems to PostgreSQL, conducting data security audits, and implementing performance management strategies. The initiative aims to empower IT leaders in financial institutions to adopt open-source solutions for improved scalability and cost savings. The partnership emphasizes the integration of AI, automation, and open-source technologies while ensuring compliance with regulatory requirements.

TrendTechie

January 13, 2026

Tilburg University: что метаданные торрентов могут рассказать специалистам по кибербезопасности?

Cybersecurity specialists often encounter torrent traffic during investigations into corporate policy violations and criminal activities. A study proposes that torrent metadata can serve as a source of open-source intelligence, focusing on the valuable information that can be extracted from publicly available torrent metadata. Torrent files contain descriptive information such as file names, tracker addresses, cryptographic hashes, and various metadata fields. Trackers provide lists of peers connected to specific files, revealing IP addresses and ports, which can be used for security analysis. The research collected metadata from The Pirate Bay and public UDP trackers across 206 popular torrent resources, resulting in a dataset of over 60,000 unique IP addresses. These addresses were enriched with data on geolocation, internet service providers, autonomous systems, and indicators of VPN or hosting infrastructure usage. A specific analysis phase labeled IP addresses linked to child sexual exploitation materials using an external monitoring database, without direct interaction with illegal content. Co-author Giuseppe Cascavilla noted that the choice of UDP trackers was intentional, allowing for testing the analysis concept while limiting observation completeness. He suggested that expanding the methodology to include large-scale data collection from DHT networks could improve coverage and identify users avoiding centralized trackers, potentially revealing correlations between anonymization and riskier behavior. The findings are presented as a conservative snapshot of activity observable through open tracking mechanisms.

Tech Optimizer

January 12, 2026

Percona launches fixed-scope packages for open databases

Percona has launched Percona Packages, a suite of consulting and support services for database and IT teams using open-source systems. The initial offerings include: 1. **Quickstart**: Prepares database environments for high-demand periods with proactive optimization, a health check, and three months of expert support. 2. **Performance Optimization**: Identifies and resolves database performance issues, including slow queries and configuration problems, through hands-on tuning and best-practice guidance. 3. **AI Readiness**: Tailored for PostgreSQL, this package optimizes databases for AI workloads, featuring performance metrics analysis and benchmarks. These packages aim to address the skills shortage in data engineering and management, supporting various open-source database technologies like MySQL, PostgreSQL, MongoDB, Redis, and Valkey. The services are designed to help organizations prepare for peak usage and improve ongoing performance, allowing them to focus on innovation rather than infrastructure.

AppWizard

January 10, 2026

9 big things Steam needs to improve in 2026

72% of developers perceive Steam as having a functional monopoly in the PC gaming landscape. Competing platforms like the Epic Games Store and Xbox App have not matched Steam's user experience. Suggestions for improving Steam include adding a "currently playing" section in the library, separating achievements for base games and DLC, streamlining the DLC acquisition process, enhancing mod support in Steam Workshop, improving wishlist organization, and making SteamOS available for all PCs.

Tech Optimizer

January 8, 2026

Faster Is Not Always Better: Choosing the Right PostgreSQL Insert Strategy in Python (+Benchmarks)

Inserting 2 million records per second into Postgres is achievable. The analysis explores five methods for inserting data into Postgres using Python, focusing on trade-offs in abstraction, safety, convenience, and performance rather than just speed. High-volume insert workloads are common in scenarios like loading records, syncing data, backfilling analytics tables, and ingesting events. Minor inefficiencies can lead to significant performance impacts. To interact with Postgres, the psycopg3 driver is used alongside SQLAlchemy, which provides two layers: Core and ORM. Psycopg3 is a low-level driver requiring manual SQL management, while SQLAlchemy Core offers a SQL abstraction, and the ORM maps Python classes to database tables, enhancing productivity but introducing overhead. Benchmarking involves measuring only the time spent transferring data from Python to Postgres, ensuring a fair comparison among methods. The fastest method may not always be the best due to maintenance costs, correctness guarantees, and cognitive load. The right insertion strategy depends on the existing data structure rather than just row count. The ORM is suited for CRUD-heavy applications, Core for data ingestion and analytics, and the Driver for maximum throughput in extensive writes. Performance issues can arise from mismatching abstractions, and reverting to a lower level may enhance performance. A guideline for choosing methods is: - Use ORM for applications prioritizing correctness and productivity. - Use Core for data movement or transformation balancing safety and speed. - Use Driver for pushing performance limits with raw power and full responsibility.

Winsage

January 7, 2026

Get a Lifetime of Microsoft Office Pro 2021 for Windows for Just $35

Businesses are losing an estimated 20% to 30% of their productivity due to outdated or incompatible software. A lifetime license for the Windows version of MS Office Professional 2021 is available for just .97, providing access to eight applications: Word, Excel, PowerPoint, Outlook, Teams, OneNote, Publisher, and Access. This suite is designed for various business needs, including document creation, spreadsheet management, email organization, presentations, and database handling. The software is a one-time purchase, installed on a single Windows PC, with instant delivery of license keys and download links. The license is tied to the device, ensuring continued access without service interruption. This offer is beneficial for small business owners, freelancers, and entrepreneurs.

Tech Optimizer

January 6, 2026

How to speed up mass data inserts in PostgreSQL when using Spring

A common task in enterprise systems involves loading large volumes of data into PostgreSQL, which can be slow if using a loop in Java that calls the save() method for each record. Initial tests show that a basic insert operation takes over 10 minutes. Hibernate retains every object in the session-level cache until the transaction concludes, leading to high memory consumption. Enabling batching with the jdbc.batch_size setting improves performance by about 23%, but high memory usage persists. Application-side caching of IDs is faster than database-side caching, achieving a 30% performance gain. Using saveAll() results in minimal improvement as it still calls save() in a loop. Enabling reWriteBatchedInserts in the JDBC driver allows for multi-row inserts, reducing operation time to 4 minutes and 37 seconds. Clearing the session-level cache with EntityManager further optimizes memory usage, resulting in an 18-second time gain. Setting order_inserts=true enhances batching efficiency. With all optimizations, insertion time is reduced to 4 minutes and 19 seconds. A custom data insertion layer can be created to generate INSERT statements, with reflection being a straightforward but not optimal method. Prepared statements improve performance and security, with an efficient batch size of 5,000 records. PostgreSQL's COPY command facilitates faster bulk data transfers than multi-row inserts. Integrating COPY with Spring transactions enhances performance, and parallelizing the insertion process with a ThreadPoolExecutor significantly improves speed and memory usage.

Winsage

January 5, 2026

Microsoft’s Windows AI Features Lack Official Disable Options, Forcing Users To Third-Party Tools

Microsoft's latest Windows 25H2 builds have introduced AI features, but users cannot easily disable them through the interface, leading many to use third-party tools like the RemoveWindowsAI PowerShell script to eliminate components such as Copilot, Recall, and Input Insights. Windows Recall captures screenshots for AI-driven searches, raising privacy concerns due to the creation of a local database of full screenshots. Microsoft has also disabled phone activation for Windows 11, requiring internet connectivity for activation. The RemoveWindowsAI tool removes appx packages associated with AI, ensuring they cannot be reinstalled. Microsoft has announced the discontinuation of support for Windows 11 SE by October 13, 2026, impacting schools that rely on this version. Virtualization, such as using Proxmox, is recommended for users wary of telemetry practices. The RemoveWindowsAI project is evolving to enhance its capabilities in response to Microsoft's AI feature additions. Enterprise deployments are advised to test removal strategies in controlled environments, though some antivirus programs may flag the tool as malicious. Privacy advocates are concerned about the implications of Microsoft's changes on user control and data collection.