Compare Cybus Connectware vs. Silk Cloud Data Platform

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

As a global IaaS solutions provider, phoenixNAP helps organizations of different sizes meet their IT performance, security, and scalability needs. Delivered from strategic edge locations in the U.S., Europe, Asia-Pacific, and Latin America, phoenixNAP's solutions are globally available, enabling businesses reach their target locales. Its colocation, HaaS, private and hybrid cloud, backup, disaster recovery, and security services are available on an opex-friendly model, providing flexibility and cost-efficiency. Based on world-class technologies, they provide redundancy, security, and advanced connectivity. Companies of all verticals and sizes can leverage phoenixNAP infrastructure for their evolving IT requirements at any stage of growth.

Experience Semarchy’s flexible unified data platform to empower better business decisions enterprise-wide. With xDM, you can discover, govern, enrich, enlighten and manage data. Rapidly deliver data-rich applications with automated master data management and transform data into insights with xDM. The business-centric interfaces provide for the rapid creation and adoption of data-rich applications. Automation rapidly generates applications to your specific requirements, and the agile platform quickly expands or evolves data applications.

Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.

NetCrunch is a next-gen, agentless infrastructure and traffic network monitoring system designed for hybrid, multi-site, and fast changing infrastructures. It combines real-time observability with alert automation and intelligent escalation to eliminate the overhead and limitations of legacy tools like PRTG or SolarWinds. NetCrunch supports agentless monitoring of thousands of nodes from a single server-covering physical devices, virtual machines, servers, traffic flows, cloud services (AWS, Azure, GCP), SNMP, syslogs, Windows Events, IoT, telemetry, and more. Unlike sensor-based tools, NetCrunch uses node-based licensing and policy-driven configuration to streamline monitoring, reduce costs, and eliminate sensor micromanagement. 670+ built-in monitoring packs apply instantly based on device type, ensuring consistency across the network. NetCrunch delivers real-time, dynamic maps and dashboards that update without manual refreshes, giving users immediate visibility into issues and performance. Its smart alerting engine features root cause correlation, suppression, predictive triggers, and over 40 response actions including scripts, API calls, notifications, and integrations with Jira, Teams, Slack, Amazon SNS, MQTT, PagerDuty, and more. Its powerful REST API makes NetCrunch perfect for flow automation, including integration with asset management, production/IoT/operations monitoring and other IT systems with ease. Whether replacing an aging platform or modernizing enterprise observability, NetCrunch offers full-stack coverage with unmatched flexibility. Fast to deploy, simple to manage, and built to scale-NetCrunch is the smarter, faster, and future-ready monitoring system. Designed for on-prem (including air-gapped), cloud self-hosted or hybrid networks.

Epicor Connected Process Control provides a simple-to-use software solution that allows you to configure digital work instructions and enforce process control. It also ensures that operations are error-proof. Connect IoT devices to collect 100% time studies and process data, images and images at the task level. Real-time visibility and quality control on a new level! eFlex can handle any number of product variations or thousands of parts, whether you are a component-based or model-based manufacturer. Work instructions can be linked to Bill of Materials, ensuring that products are built correctly every time, even if changes are made during the process. Work instructions that are part a system that is advanced will automatically react to model and component variations and only display the right work instructions for what's currently being built at station.

RunPod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, RunPod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, RunPod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.

Device42 is a robust and comprehensive data center and network management software designed by IT engineers to help them discover, document and manage Data Centers and overall IT. Device42 provides actionable insight into enterprise infrastructures. It clearly identifies hardware, software, services, and network interdependencies. It also features powerful visualizations and an easy-to-use user interface, webhooks and APIs. Device42 can help you plan for network changes and reduce MTTR in case of an unexpected outage. It provides everything you need for maintenance, audits and warranty, license certificate, warranty and lifecycle management, passwords/secrets and inventory, asset tracking and budgeting, building rooms and rack layouts... Device42 can integrate with your favorite IT management tools. This includes integration with SIEM, CM and ITSM; data mapping; and many more! As part of the Freshworks family, we are committed to, and you should expect us to provide even better solutions and continued support for our global customers and partners, just as we always have.

Teradata VantageCloud: Open, Scalable Cloud Analytics for AI VantageCloud is Teradata’s cloud-native analytics and data platform designed for performance and flexibility. It unifies data from multiple sources, supports complex analytics at scale, and makes it easier to deploy AI and machine learning models in production. With built-in support for multi-cloud and hybrid deployments, VantageCloud lets organizations manage data across AWS, Azure, Google Cloud, and on-prem environments without vendor lock-in. Its open architecture integrates with modern data tools and standard formats, giving developers and data teams freedom to innovate while keeping costs predictable.

Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS). Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.