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Percona & HexaCluster team up on database migrations
Tech Optimizer
July 3, 2026

Percona & HexaCluster team up on database migrations

Percona has formed a strategic alliance with HexaCluster to assist organizations in migrating from proprietary databases to open-source alternatives, specifically PostgreSQL, MySQL, and MariaDB. The partnership combines Percona's migration assessment and production support with HexaCluster's migration software for diverse database environments. The migration process will begin with a comprehensive assessment by Percona to outline the scope and plan the transition. Percona will lead the migration efforts, while HexaCluster will provide software solutions for complex migrations. This collaboration aims to help enterprises reduce costs associated with proprietary databases and minimize risks during migration. HexaCluster specializes in PostgreSQL migration and offers tools for migration assessment, schema conversion, data migration, and live replication. Percona supports various database systems and emphasizes open-source solutions to give organizations more control over their data infrastructure.
Best Antivirus for Windows XP: Options That Still Work
Tech Optimizer
July 3, 2026

Best Antivirus for Windows XP: Options That Still Work

Finding a reliable antivirus solution for Windows XP is challenging due to the lack of support since 2014. Major antivirus vendors have withdrawn compatibility, leaving limited options. Panda Security continues to support Windows XP with its Panda Dome antivirus, which offers real-time protection and a cloud-based engine. Antivirus software can block known malware, flag suspicious activity, and stop recognized threats, but it cannot patch the operating system itself. Users have fewer choices for protection as new vulnerabilities emerge. Several antivirus tools compatible with Windows XP include: - Panda Dome: Actively maintained, offers real-time protection, free and paid plans available. - Avast (v18.8): Limited support, last updates in October 2024, free legacy version only. - AVG (v9): Discontinued in 2019, operates offline, free legacy version only. - ClamWin: Open-source, actively maintained, no real-time protection, free. - 360 Total Security: Active legacy version, multi-engine approach, real-time protection, free and premium options. - Malwarebytes (legacy): Only older versions support XP, best as a supplement, free legacy version. - VirIT eXplorer Lite: Actively maintained, free lite version with real-time protection. Choosing the right antivirus requires consideration of internet connectivity, hardware age, update status, and whether to use free or paid options. For most users, Panda Dome is recommended for its active support and real-time protection. To enhance security on Windows XP, users should keep machines offline when possible, use ad blockers, be cautious with emails and links, avoid fake antivirus downloads, transfer files via USB from modern computers, and keep third-party software updated.
This App Turns Your Android Smartphone Into A Wii U
AppWizard
July 3, 2026

This App Turns Your Android Smartphone Into A Wii U

MrRubik is a developer and YouTuber known for creating Android applications that mimic the interfaces of retro gaming consoles. One of his notable applications is the "Wii U Launcher," which transforms Android devices into a virtual Nintendo Wii U. This application features a modern reinterpretation of the original Wii U menu, complete with smooth animations and fast navigation. Key features include a sleek interface, high-quality animations, customizable icons, and support for external game controllers. The Wii U Launcher is available for free on MrRubik's website, with a version for the Google Play Store forthcoming.
From monolith to Lakebase to LTAP: rethinking the database from storage up
Tech Optimizer
July 2, 2026

From monolith to Lakebase to LTAP: rethinking the database from storage up

Sixteen years ago, the author began their PhD at UC Berkeley and was advised to focus on analytics rather than OLTP databases, which were considered solved. This led to the creation of Apache Spark and Databricks. However, during the development of Databricks, it was found that OLTP databases were not solved problems; they were difficult to scale and fragile. This realization led to the development of Lakebase, a serverless Postgres database designed with modern technology. Lakebase architecture separates the write-ahead log (WAL) and data files into independent, scalable services. The WAL is externalized to a service called SafeKeeper, which uses Paxos-based replication for durability, while data files are managed by PageServer, which stores them in cloud object storage. This design addresses challenges such as data loss, scaling, and performance interference between transactional and analytical workloads. Lakebase maintains compatibility with Postgres, offers unlimited storage, serverless compute, durable writes, and simpler high availability. It also introduces LTAP (Lake Transactional/Analytical Processing), which allows both transactional and analytical processing to operate on a single data copy in real time, eliminating the need for separate data copies and reducing costs. LTAP utilizes a unified storage layer that allows data to be materialized in both row and columnar formats, optimizing it for both transactional and analytical workloads. The system ensures that analytics can access the most current data without affecting transactional performance by using a log sequence number (LSN) to retrieve the latest changes. Unlike traditional CDC approaches, LTAP requires no explicit table replication, as all data is stored in a single governed copy. This architecture circumvents common issues faced by hybrid transactional/analytical processing (HTAP) systems, such as incomplete feature sets, lack of ecosystem support, and performance contention. The Lakebase architecture has unlocked capabilities like unlimited storage, elastic compute, durable writes, and instant branching, with ongoing developments anticipated in the future.
silver Android smartphone
Tech Optimizer
July 2, 2026

From monolith to Lakebase to LTAP: rethinking the database from storage up

Sixteen years ago, the author began their PhD at UC Berkeley, where they were advised to focus on analytics rather than OLTP databases, which were considered a solved problem. However, upon developing Databricks, they found that OLTP databases were cumbersome, challenging to scale, and fragile. This led to the creation of Lakebase, a serverless Postgres database designed to address these issues by externalizing the write-ahead log (WAL) and data files into independent services. Lakebase architecture separates the WAL into a distributed service called SafeKeeper and data files into another service called PageServer, allowing for improved durability, scalability, and performance. This architecture eliminates data loss risks associated with disk failures and misconfigurations, simplifies high availability, and allows for elastic compute resources. Lakebase also introduces LTAP (Lake Transactional/Analytical Processing), which enables transactions and analytics to operate on a single data copy in real-time, avoiding the need for separate data copies and reducing costs. The system retains Postgres's ACID semantics while storing data in open columnar formats, making it accessible to both transactional and analytical engines without the delays and complexities of traditional replication methods. The architecture allows for unlimited storage, serverless compute, and instant branching, while ensuring that analytics can read the most current transactional data without affecting transactional workloads. LTAP aims to unify transactional and analytical processing by leveraging distinct compute engines for each workload while integrating at the storage layer.
EDB named Forrester Leader in multimodel data platforms
Tech Optimizer
July 2, 2026

EDB named Forrester Leader in multimodel data platforms

EDB has been recognized as a Leader in Forrester's Multimodel Data Platforms evaluation for Q2 2026 for its EDB Postgres AI platform, receiving the highest scores in Vision, Innovation, Roadmap, and Partner Ecosystem. The platform is designed to manage mixed translytical and AI workload demands, offering flexibility in deployment across on-premises, hybrid, and multi-cloud environments. EDB's recent product update introduced agentic database and converged analytics functionalities, reportedly accelerating database tuning by up to tenfold and reducing analytics ownership costs by as much as 58%. The platform is supported by a partner ecosystem that includes Dell, IBM, NVIDIA, Red Hat, and Supermicro, which plays a crucial role in influencing database purchasing decisions. EDB's roadmap focuses on advancements in GPU-accelerated workloads, semantic intelligence, governance, and knowledge graph functionalities. The emphasis on sovereign deployment aligns with organizations' needs for control over sensitive data amidst stricter regulations.
Why B3 chose Android for secure AI-enabled productivity
AppWizard
July 1, 2026

Why B3 chose Android for secure AI-enabled productivity

B3 has deployed a secure mobile solution to 1,000 employees in two weeks using Android Enterprise, enhancing security with AI threat detection and Managed Google Play. The transition is expected to yield a 30% cost savings over the next decade. B3 prioritized security and compliance while providing devices that ensure constant availability and productivity. The deployment process was streamlined through collaboration with Samsung and Android Enterprise's zero-touch enrollment, allowing centralized management of devices. Employees received lightweight devices with 7-inch screens and longer battery life, leading to positive feedback. B3 is also expanding its use of AI to improve productivity and plans to refresh hardware more frequently due to the anticipated cost savings.
Google has a faster version of Nano Banana with three demo apps you can try right now
AppWizard
July 1, 2026

Google has a faster version of Nano Banana with three demo apps you can try right now

Google has introduced the Nano Banana 2 Lite, a faster and more cost-efficient image generation model that can create images from text queries in four seconds. It generates five images in the time the previous model took to produce one and uses less bandwidth, costing [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: Google has unveiled a significant advancement in its image generation capabilities with the introduction of the Nano Banana 2 Lite. This new model is not only faster but also more cost-efficient than its predecessor, Nano Banana 2. Designed to address one of the primary concerns regarding image generators—long wait times—Nano Banana 2 Lite can transform text queries into images in an impressive four seconds. In a demonstration, Google showcased its ability to produce five images in the time it took the older model to generate just one. The efficiency of this model is further highlighted by its reduced bandwidth usage and a cost of only [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: Edgar Cervantes / Android AuthorityTL;DR Google has released a faster and more cost-efficient image model called Nano Banana 2 Lite. Gemini Omni Flash is rolling out to developers Google has also created three new demo apps that showcase how the two models can work together. One of the issues with image generators is how long it takes for the AI to generate an image. Google is shaving down that wait time with a quicker and leaner model than Nano Banana 2. Along with this new model, it is also expanding Gemini Omni Flash to more users. And to showcase what these two models can do together, the company has created a trio of demo apps.Jumping right in to today’s announcement, Google is releasing Nano Banana 2 Lite. According to the Mountain View-based firm, this is the fastest and most cost-efficient model in the Nano Banana family to date. It’s capable of taking text queries and turning them into images in four seconds. In the example Google provided, the AI was able to generate five images before the old model generated one.In terms of efficiency, it uses less bandwidth and costs $0.034 per 1K image. Nano Banana 2 Lite is available today in AI Mode in Search, the Gemini app, Google AI Studio, Gemini API, Gemini Enterprise Agent Platform, and more. The second part of the announcement deals with the expansion of Gemini Omni Flash. Google first introduced the model during I/O, replacing Veo as the default video generation tool in the Gemini app. Now, Omni Flash is rolling out to developers in Google AI Studio, the Gemini API, and Gemini Enterprise Agent Platform, in addition to the Gemini app and Google Flow.Anywhere appAs mentioned earlier, Google has launched three demo apps to showcase how the two models can work together. The first app is called Anywhere, and transports your image to dozens of iconic landmarks when you upload a photo. Gemini Omni flash then turns the photo and the location into an animated clip. Next up is Space Lift, which is an interior design app that lets you reimagine a room with a photo upload. The last app, Omni product studio, turns static images generated by Nano Banana 2 Lite into e-commerce videos generated by Gemini Omni Flash. Thank you for being part of our community. Read our Comment Policy before posting." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].034 per 1,000 images. Users can access Nano Banana 2 Lite immediately through various platforms, including AI Mode in Search, the Gemini app, Google AI Studio, and the Gemini API. Expansion of Gemini Omni Flash In conjunction with the launch of Nano Banana 2 Lite, Google is also expanding the reach of Gemini Omni Flash. Initially introduced at the I/O event, this model has replaced Veo as the default video generation tool within the Gemini app. Now, it is being rolled out to developers using Google AI Studio, the Gemini API, and the Gemini Enterprise Agent Platform, in addition to its availability in the Gemini app and Google Flow. Innovative Demo Apps To illustrate the capabilities of these two models working in tandem, Google has developed three innovative demo applications. The first, Anywhere, allows users to upload a photo and transport it to various iconic landmarks, with Gemini Omni Flash creating an animated clip from the image and location. The second app, Space Lift, focuses on interior design, enabling users to reimagine a room by uploading a photo. Lastly, Omni Product Studio takes static images generated by Nano Banana 2 Lite and transforms them into dynamic e-commerce videos using Gemini Omni Flash." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].034 per 1,000 images. Nano Banana 2 Lite is available in various platforms, including AI Mode in Search, the Gemini app, Google AI Studio, and the Gemini API. Additionally, Google is expanding the Gemini Omni Flash model, which has replaced Veo as the default video generation tool in the Gemini app, and is now available to developers in Google AI Studio and other platforms. Google has also launched three demo apps: Anywhere, which animates uploaded photos at iconic landmarks; Space Lift, which allows users to redesign rooms with photo uploads; and Omni Product Studio, which converts static images into e-commerce videos.
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