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Tech Optimizer
May 13, 2026

Databricks Syncs Postgres to Lakehouse Natively

Databricks has introduced Native Lakehouse Sync, currently in public preview, which enables direct replication of data from Lakebase Postgres into Unity Catalog managed tables, simplifying data transfer without traditional pipeline complexities. This feature operates natively within Lakebase, utilizing its Write-Ahead-Log (WAL) and requiring minimal setup time. It does not negatively impact Postgres performance or incur additional costs, and schema changes are automatically propagated. Native Lakehouse Sync supports agent-first development by scaling down when idle and integrating monitoring functions. Data transferred to Unity Catalog is immediately accessible for AI-native analytics and benefits from unified governance features. Every data operation is captured as SCD Type 2 history by default, facilitating compliance and audit processes. The setup of Lakebase and activation of sync is quick, allowing existing and future tables to be available in Unity Catalog within a minute.
My new favorite AI-powered app switches between 70+ AI chatbots with a tap
AppWizard
May 10, 2026

My new favorite AI-powered app switches between 70+ AI chatbots with a tap

Generative AI is increasingly prevalent in digital applications and services. A bi-weekly series will highlight innovative AI applications. AI Hub is an open-source platform that consolidates 78 AI services and chatbots into a single interface, allowing users to filter and run multiple bots simultaneously while focusing on privacy by blocking trackers and ads. Other notable AI applications include Off Grid, which allows local data processing and offline functionality; Yaps, an Android keyboard app that enhances dictation accuracy; and DealHunt, which provides insights on tech deals and pricing history.
In the 33 months since Baldur's Gate 3 launched, it's hardly ever fallen out of the top 5 most-played games on Steam Deck
AppWizard
May 3, 2026

In the 33 months since Baldur’s Gate 3 launched, it’s hardly ever fallen out of the top 5 most-played games on Steam Deck

Baldur's Gate 3 has been a popular game on the Steam Deck for 33 months, only dropping out of the top five most-played games for four months. It has consistently remained in the top ten during its absences. The Steam Deck features a public leaderboard for most-played games, updated regularly. Despite hardware limitations, Baldur's Gate 3 offers a satisfactory gaming experience, particularly due to its turn-based mechanics. Historical data on its performance is sourced from Gaming on Linux, Steam Deck HQ, and Steam Deck Gaming.
There are dozens of us! The best third-person shooter of all time sees HUGE* player spike on Steam after Capcom's Pragmata
AppWizard
April 29, 2026

There are dozens of us! The best third-person shooter of all time sees HUGE* player spike on Steam after Capcom’s Pragmata

Phil Savage, Editor-in-Chief of PC Gamer, rated the game Vanquish at 80% in his review, stating that beyond its core gameplay loop, there isn't much to the game. Vanquish has seen a 34.8% increase in peak players on Steam over the past month, with an additional 16 players engaging with the game, and a 52.9% rise in average daily player count, equating to 26 more players each day. The game is currently available at a 70% discount. Historical data shows that spikes in player activity for Vanquish have occurred periodically, particularly in September 2024, September 2025, and February of this year.
Google just announced a cleaner Nest and Fitbit community, but there's a catch
AppWizard
April 27, 2026

Google just announced a cleaner Nest and Fitbit community, but there’s a catch

Google will overhaul its Google Home & Nest Community and Fitbit forums next month, resulting in the permanent deletion of all existing posts. Users will lose access to their post history, and Fitbit users must create new accounts as the previous platform will be retired along with all associated profile data. The updates are set to roll out in May, and users are advised to save important threads or guides before the transition.
Why Postgres wants NVMe on the hot path, and S3 everywhere else
Tech Optimizer
April 17, 2026

Why Postgres wants NVMe on the hot path, and S3 everywhere else

Efforts to merge storage roles into a single solution are ongoing, particularly with Amazon S3's durability and cost-effectiveness. In PostgreSQL, achieving a durable commit requires flushing the Write-Ahead Log (WAL) before signaling transaction completion, which can take tens of microseconds on high-performance NVMe drives but extend to milliseconds on slower storage. This latency impacts Online Transaction Processing (OLTP) systems and user response times. Benchmark studies show that systems with faster local storage outperform those with slower alternatives as workloads exceed memory capacity. The fsync operation in PostgreSQL is a commitment rather than a simple write, with enterprise-grade SSDs performing better due to power-loss protection. Read operations also face challenges, as PostgreSQL's need for small, latency-sensitive reads conflicts with S3's design for larger, higher-latency requests. As the working set exceeds memory, storage latency becomes a critical performance factor. Modern managed PostgreSQL systems typically do not place object storage in the critical commit path, instead maintaining a fast log or cache close to the database while relegating colder data to remote storage. Recent PostgreSQL developments, such as asynchronous I/O support in version 18, aim to leverage fast storage more effectively. S3 is valuable for tasks like WAL archiving and backups, but these should be kept separate from the commit path to avoid resource contention. The solution involves using both NVMe and S3, with fast storage managing commits and cache misses, while object storage handles archives and backups. PostgreSQL performs best when hot and cold storage functions are clearly delineated.
Database Branching in Postgres: Git-Style Workflows with Databricks Lakebase
Tech Optimizer
April 11, 2026

Database Branching in Postgres: Git-Style Workflows with Databricks Lakebase

Database branching is a modern approach that addresses the limitations of traditional database management in development workflows. Unlike conventional database copies, which require significant time and resources to duplicate data and schema, database branching allows for the creation of isolated environments that share the same underlying storage. This method utilizes a copy-on-write mechanism, enabling branches to be created in seconds regardless of database size, with storage costs tied only to the changes made. Key features of database branching include: - Branch creation time: Seconds, constant regardless of database size. - Storage cost: Proportional to changes only, not the total data size. - Isolation: Each branch has its own Postgres connection string and compute endpoint. - Automatic scaling: Idle branches can scale compute to zero, incurring costs only when active. The architecture supporting this approach separates compute from storage, allowing multiple branches to reference the same data without conflict. This design facilitates time travel capabilities, enabling branches to be created from any point in the past for instant recovery and inspection. Database branching unlocks new workflows, such as: - One branch per developer, providing isolated environments for each engineer. - One branch per pull request, automating branch creation and deletion tied to PRs. - One branch per test run, provisioning fresh databases for each CI pipeline execution. - Instant recovery from any point in time within a designated restore window. - Ephemeral environments for AI agents, allowing programmatic database provisioning. Databricks Lakebase offers this database branching capability, transforming the database from a bottleneck into a streamlined component of the development process.
New Free Steam Game Is Proving Popular With PC Gamers
AppWizard
March 15, 2026

New Free Steam Game Is Proving Popular With PC Gamers

Steam has introduced a new game called SnowBot, developed by Inoutofit, which has received a "Very Positive" rating with 91% of over 100 reviews recommending it. Despite being free, it has defied the trend of declining review scores typically seen with premium games offered for free. Some players have noted clunky controls, but the game's charm, visuals, and atmosphere have been praised. Since its launch, there has been one update, and further updates may be limited due to its free status.
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