
BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises.
Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.
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pCloud Business is a cloud storage and file synchronization platform designed for teams that need controlled access, cross-platform compatibility, and predictable storage allocation. It provides centralized file management with granular permissions and optional client-side encryption.
Founded in 2013 in Switzerland, pCloud operates under EU-aligned privacy standards and offers data residency in Luxembourg (EU) and Dallas, Texas (US). The platform supports over 23 million users globally.
Core Functionality :
- Per-User Storage Allocation : 1 TB or 2 TB per user, suitable for small to mid-sized teams and distributed environments.
- Virtual File System (pCloud Drive) : Mounts as a local drive on Windows, macOS, and Linux. Files are streamed on demand, reducing local disk usage.
- File Sync & Sharing : Folder-level sync, link-based sharing, and permission control (view/edit/manage). Supports password-protected and time-limited links.
- Admin & Access Control : Centralized user management, role assignment, and storage distribution via admin console.
- Versioning & File History : File versioning with up to 180 days retention, enabling rollback and recovery.
- Cross-Platform Support : Native clients for Windows, macOS, Linux, iOS, Android, plus web interface.
- Client-Side Encryption (Optional) : Zero-knowledge encryption via pCloud Encryption for sensitive data; encryption keys are not stored server-side.
Technical Positioning:
- Swiss jurisdiction; GDPR-aligned processing
- No file size limits
- Works without mandatory ecosystem lock-in (no bundled office suite required)
- Compatible with heterogeneous environments (Linux included)
Trial : 30-day free trial available for up to 10 users.
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StarTree
StarTree Cloud is a fully-managed real-time analytics platform designed for OLAP at massive speed and scale for user-facing applications. Powered by Apache Pinot, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, scalable upserts, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment.
StarTree Cloud includes StarTree Data Manager, which allows you to ingest data from both real-time sources such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda, as well as batch data sources such as data warehouses like Snowflake, Delta Lake or Google BigQuery, or object stores like Amazon S3, Apache Flink, Apache Hadoop, or Apache Spark.
StarTree ThirdEye is an add-on anomaly detection system running on top of StarTree Cloud that observes your business-critical metrics, alerting you and allowing you to perform root-cause analysis — all in real-time.
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Miele-LXIV
Miele-LXIV is a 64-bit DICOM viewer and workstation created by Alex Bettarini. The macOS variant, developed in Objective-C and compiled with Xcode, is offered as a free download. In contrast, the Windows and Linux versions are entirely re-engineered in C++ using CMake and wxWidgets, currently boasting around 25% of the features available in the macOS edition. To utilize the Windows version, OpenGL (Core profile) is required, and interested users can obtain a complimentary evaluation version by reaching out to the developer. Similarly, the Linux release, developed with gcc, also demands OpenGL drivers (Core profile) and has been verified for functionality on Ubuntu 24.04 and Linux Mint 22.1. Miele-LXIV serves not only as a DICOM workstation and viewer but also encompasses additional capabilities. This project originated in November 2014 as a derivative of the well-known open-source 32-bit project OsiriX, yet it has undergone significant modifications to transform it into a 64-bit application while eliminating many of the constraints imposed by the 32-bit predecessor. As a result, it continues to evolve, aiming to enhance the user experience and functionality further.
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