Oracle In-Memory Cost Management vs. BidElastic

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Cycloid is an Internal Developer Portal and Platform with modules around self-service and platform orchestration, project lifecycle and resource management, FinOps and GreenOps and plugins. It can be consumed through the console, in CLI or in API. Cycloid focuses on platform engineering done right. We optimize the developer experience and operational efficiency by accelerating the delivery of a portal and platform, alleviating the cognitive load on IT teams and advocating for FinOps & Green IT practices. With our Internal Developer Portal and Platform, you don’t need to start from scratch to get a fully customized solution. Platform teams design, build and run the platform enabling end-users to visualize, deploy and manage existing and new projects, interact with cutting-edge DevOps and Cloud automation without the need to become an expert, while keeping best practices in place, cloud expenses under control with a minimum carbon footprint. We are also the editor of Open Source projects such as TerraCognita, reverse Terraform, InfraMap, infra diagram and Terracost, cost estimation. We work with Global organizations, US and EU public institutions, scale ups across America, Europe and Asia. 6 of the top 10 System Integrator and Managed Services Providers are working with us as a customer and/or as a partner.

Dragonfly acts as a highly efficient alternative to Redis, significantly improving performance while also lowering costs. It is designed to leverage the strengths of modern cloud infrastructure, addressing the data needs of contemporary applications and freeing developers from the limitations of traditional in-memory data solutions. Older software is unable to take full advantage of the advancements offered by new cloud technologies. By optimizing for cloud settings, Dragonfly delivers an astonishing 25 times the throughput and cuts snapshotting latency by 12 times when compared to legacy in-memory data systems like Redis, facilitating the quick responses that users expect. Redis's conventional single-threaded framework incurs high costs during workload scaling. In contrast, Dragonfly demonstrates superior efficiency in both processing and memory utilization, potentially slashing infrastructure costs by as much as 80%. It initially scales vertically and only shifts to clustering when faced with extreme scaling challenges, which streamlines the operational process and boosts system reliability. As a result, developers can prioritize creative solutions over handling infrastructure issues, ultimately leading to more innovative applications. This transition not only enhances productivity but also allows teams to explore new features and improvements without the typical constraints of server management.

Google's Compute Engine, which falls under the category of infrastructure as a service (IaaS), enables businesses to create and manage virtual machines in the cloud. This platform facilitates cloud transformation by offering computing infrastructure in both standard sizes and custom machine configurations. General-purpose machines, like the E2, N1, N2, and N2D, strike a balance between cost and performance, making them suitable for a variety of applications. For workloads that demand high processing power, compute-optimized machines (C2) deliver superior performance with advanced virtual CPUs. Memory-optimized systems (M2) are tailored for applications requiring extensive memory, making them perfect for in-memory database solutions. Additionally, accelerator-optimized machines (A2), which utilize A100 GPUs, cater to applications that have high computational demands. Users can integrate Compute Engine with other Google Cloud Services, including AI and machine learning or data analytics tools, to enhance their capabilities. To maintain sufficient application capacity during scaling, reservations are available, providing users with peace of mind. Furthermore, financial savings can be achieved through sustained-use discounts, and even greater savings can be realized with committed-use discounts, making it an attractive option for organizations looking to optimize their cloud spending. Overall, Compute Engine is designed not only to meet current needs but also to adapt and grow with future demands.

RaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.

SPEC Innovations offers a premier model-based systems engineering solution aimed at helping your team accelerate time-to-market, lower expenses, and reduce risks, even when dealing with the most intricate systems. This solution is available in both cloud-based and on-premise formats, featuring an easy-to-use graphical interface that can be accessed via any current web browser. Innoslate provides an extensive range of lifecycle capabilities, which include: • Management of Requirements • Document Control • System Modeling • Simulation of Discrete Events • Monte Carlo Analysis • Creation of DoDAF Models and Views • Management of Databases • Test Management equipped with comprehensive reports, status updates, outcomes, and additional features • Real-Time Collaboration Additionally, it encompasses numerous other functionalities to enhance workflow efficiency.

Oracle NetSuite is the leading AI-powered Cloud ERP platform, empowering organizations to connect and optimize every aspect of their business. Built on the principle of a single source of truth, NetSuite eliminates silos by integrating ERP, financials, CRM, ecommerce, HCM, and analytics into one centralized cloud solution. Its AI capabilities go beyond automation by analyzing real-time business data to deliver predictive insights, personalized recommendations, and actionable forecasts. With more than 42,000 customers, NetSuite is trusted by businesses across industries and geographies for its scalability and reliability. Companies can leverage it to automate accounting, streamline financial close processes, and manage complex global operations with ease. Its CRM and HR features enhance customer engagement and workforce efficiency, while its professional services automation helps teams manage projects, billing, and resources more effectively. For commerce-driven organizations, NetSuite offers omnichannel commerce capabilities that unify online, in-store, and B2B sales, providing a seamless customer experience. The built-in analytics and reporting modules give leaders real-time visibility into performance across departments, enabling faster, data-driven decision-making. Oracle further strengthens NetSuite with consulting, support, and partner ecosystems, ensuring smooth deployment and ongoing optimization. By blending advanced AI, robust business functionality, and global scale, NetSuite sets the standard for modern enterprise resource planning.

RunPod offers a robust cloud infrastructure designed for effortless deployment and scalability of AI workloads utilizing GPU-powered pods. By providing a diverse selection of NVIDIA GPUs, including options like the A100 and H100, RunPod ensures that machine learning models can be trained and deployed with high performance and minimal latency. The platform prioritizes user-friendliness, enabling users to create pods within seconds and adjust their scale dynamically to align with demand. Additionally, features such as autoscaling, real-time analytics, and serverless scaling contribute to making RunPod an excellent choice for startups, academic institutions, and large enterprises that require a flexible, powerful, and cost-effective environment for AI development and inference. Furthermore, this adaptability allows users to focus on innovation rather than infrastructure management.

Reduce costs, enhance clarity in your projects, and keep your budget in check with ease—thanks to user-friendly timesheets! ClickTime simplifies the process of managing and planning employee hours, enabling you to monitor time from any device, promptly authorize time entries, and utilize dashboards to manage budgets and distribute employee workload. Whether you’re predicting project costs or analyzing previous outcomes, ClickTime provides real-time insights into your operations. Instantly identify which projects are exceeding or falling short of their budgets, gain a clear understanding of team availability, expenses, and overall productivity, and effortlessly manage timesheet approvals, leave requests, and billable hours. This streamlined approach not only saves time but also empowers you to make informed decisions for future projects.

Nextiva delivers a future-ready Unified-CXM platform that centralizes every customer interaction into a single, AI-powered hub. Instead of juggling multiple systems, businesses gain an integrated solution that supports voice calls, SMS, messaging apps, email, live chat, social media, reviews, and video. Its real-time journey orchestration engine analyzes data from all channels, providing deep insights into customer sentiment and behavior while automating repetitive workflows. This allows companies to cut operating costs, accelerate response times, and provide personalized service at scale. The platform includes workforce engagement management features that connect customer-facing teams with back-office operations, reducing agent attrition and boosting performance. Its AI capabilities—such as predictive insights, pre-built automations, and self-service optimization—enable organizations to realize value quickly without heavy customization. Designed with an open architecture and REST APIs, Nextiva scales seamlessly, integrates with existing enterprise systems, and supports industries with strict compliance needs. Customers benefit from increased productivity, higher satisfaction scores, and tangible growth in customer lifetime value. With recognition across analyst firms and review platforms, Nextiva is ranked among leaders in the CCaaS and Unified-CXM markets. Backed by endorsements from industry pioneers like Steve Wozniak, Nextiva stands out as a trusted partner for organizations committed to delivering world-class customer experiences.