adoption

AppWizard
June 13, 2025
Google will discontinue its Instant Apps feature for Android by the end of 2025 due to limited adoption and usage. Support for Instant Apps will cease in December 2025, including the discontinuation of publishing capabilities and associated Google Play Instant APIs. Tooling support within Android Studio will also be removed. The feature, which debuted in 2017, allowed users to run lightweight versions of applications without installation. Users needed to enable the feature through Google Play to access app-like interfaces instantly when tapping links.
AppWizard
June 13, 2025
Google will discontinue Instant Apps in December 2025. Instant Apps, introduced in 2017, allowed users to access parts of an app without full installation but struggled to gain popularity due to limitations on developers, such as a 15 MB size cap for streamlined versions. The announcement of the discontinuation was made indirectly through a notice in Android Studio, rather than a formal blog post.
AppWizard
June 13, 2025
Google introduced Android Instant Apps in 2017, allowing users to access a lightweight version of an app without full installation. However, Google has announced that support for Instant Apps will be discontinued in December 2025, meaning developers will no longer be able to publish new instant apps or receive support for existing ones. The decision is attributed to low user engagement, prompting a shift towards more effective app promotion methods, such as AI-driven highlights and simultaneous installations. Instant Apps required developers to create compact versions of their applications, which was challenging for complex apps. Most users were unaware of the feature, and its adoption was limited.
AppWizard
June 13, 2025
Google has announced it will phase out Android Instant Apps by December 2025. Launched in 2017, Instant Apps allowed users to access parts of applications without full installation but struggled with developer adoption due to technical limitations and a maximum size constraint of 15MB. Participation was limited, with few developers like Vimeo and Wish adopting the feature. The shutdown was revealed in the latest Android Studio canary build, which indicated that all Google Play Instant APIs and publishing capabilities will be discontinued by the end of the year. There has been minimal investment in Instant Apps over recent years, leading to a decline in user interest and signaling the feature's end. Google is expected to focus on enhancing web-based app discovery and developing alternatives similar to Play Store App Clips.
AppWizard
June 13, 2025
Google has announced plans to phase out the Instant Apps feature by December 2025 due to low usage and engagement levels. Instant Apps, launched in 2017, allowed users to access lightweight app versions without installation but struggled to gain widespread adoption. A warning message in Android Studio confirmed the discontinuation, stating that Instant Apps support will be removed, and all related APIs will no longer function. Google aims to invest in more effective tools for app discovery, as developers are increasingly using alternatives that align better with user behavior.
AppWizard
June 12, 2025
Google's Android Instant Apps feature will be discontinued by December 2025 due to limited adoption among developers. Launched in 2016, it allowed users to access parts of mobile applications without full installation. However, developers faced challenges in creating lightweight app versions, leading to its limited implementation. A notice in the latest canary build of Android Studio confirmed that support for Instant Apps will be removed, with all related Google Play Instant APIs ceasing to function. Further details are expected to be released soon. The impact on users is anticipated to be minimal.
Tech Optimizer
June 12, 2025
Databricks has launched Lakebase, a fully managed Postgres database designed for AI applications, currently in Public Preview. It integrates an operational database layer into Databricks' Data Intelligence Platform, facilitating the development of data applications and AI agents in a multi-cloud environment. Lakebase uses Neon technology within a lakehouse architecture, allowing for efficient real-time data processing and scalable operations. Key features include independent scaling of compute and storage, low latency under 10 milliseconds, high concurrency over 10,000 queries per second, rapid launch times under a second, and a consumption-based payment model. It also offers data synchronization with lakehouse tables, an online feature store for machine learning, and is managed entirely by Databricks with built-in security features. During its Private Preview, Lakebase attracted participation from hundreds of enterprises across various sectors. It is supported by a partner network including Accenture, Deloitte, and others, and will receive further enhancements in the coming months.
AppWizard
June 11, 2025
T-Mobile's T-Life app has faced significant criticism from employees and customers since its launch, despite updates aimed at improving functionality. Users report challenges with the app, including unclear and impractical functions. One user experienced difficulty after accidentally deleting their eSIM, as the app did not provide a solution and required a visit to a physical store for assistance. T-Mobile has encouraged customers to use the app for self-service tasks, but reports indicate that employees must report instances when customers refuse to use it. The transition to the app has created friction and raised questions about its effectiveness.
Tech Optimizer
June 11, 2025
Databricks has launched Lakebase, a fully-managed Postgres database that integrates operational and analytical systems for AI-driven applications. Lakebase is part of the Databricks Data Intelligence Platform and is currently in Public Preview. It utilizes Neon technology for continuous autoscaling, enabling low latency and high concurrency. Key features include separated compute and storage, an open-source foundation, AI optimization, lakehouse integration, and enterprise readiness. Early adopters are using Lakebase to enhance various business processes, and it is supported by a partner network for data integration and governance.
Tech Optimizer
June 11, 2025
EnterpriseDB (EDB) has introduced an integration of its EDB Postgres AI platform with NVIDIA NIM microservices, enabling enterprises to easily create and deploy generative AI chatbots and applications with minimal coding. Research from EDB shows that only 13% of global enterprises have implemented comprehensive agentic AI applications, primarily due to fragmented infrastructure and integration challenges. EDB Postgres AI utilizes NVIDIA NeMo Retriever for processing multimodal enterprise data and supports a catalog of NVIDIA NIM microservices to enhance AI model capabilities. The platform is designed for secure and scalable development of agentic AI and operates natively within Kubernetes. EDB Postgres AI is characterized as the first open, enterprise-grade sovereign data and AI platform built on Postgres, integrating transactional, analytical, and AI workloads, with features such as security, compliance, and high availability.
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