Alternatives to Robin.io
Compare Robin.io alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Robin.io in 2026. Compare features, ratings, user reviews, pricing, and more from Robin.io competitors and alternatives in order to make an informed decision for your business.
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Teradata VantageCloud
Teradata
Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems. -
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Telepresence
Ambassador Labs
Telepresence streamlines your local development process, enabling immediate feedback. You can launch your local environment on your laptop, equipped with your preferred tools, while Telepresence seamlessly connects them to the microservices and test databases they rely on. It simplifies and expedites collaborative development, debugging, and testing within Kubernetes environments by establishing a seamless connection between your local machine and shared remote Kubernetes clusters. Why Telepresence: Faster feedback loops: Spend less time building, containerizing, and deploying code. Get immediate feedback on code changes by running your service in the cloud from your local machine. Shift testing left: Create a remote-to-local debugging experience. Catch bugs pre-production without the configuration headache of remote debugging. Deliver better, faster user experience: Get new features and applications into the hands of users faster and more frequently.Starting Price: Free -
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Run advanced apps on a secured and managed Kubernetes service. GKE is an enterprise-grade platform for containerized applications, including stateful and stateless, AI and ML, Linux and Windows, complex and simple web apps, API, and backend services. Leverage industry-first features like four-way auto-scaling and no-stress management. Optimize GPU and TPU provisioning, use integrated developer tools, and get multi-cluster support from SREs. Start quickly with single-click clusters. Leverage a high-availability control plane including multi-zonal and regional clusters. Eliminate operational overhead with auto-repair, auto-upgrade, and release channels. Secure by default, including vulnerability scanning of container images and data encryption. Integrated Cloud Monitoring with infrastructure, application, and Kubernetes-specific views. Speed up app development without sacrificing security.
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4
Snowflake
Snowflake
Snowflake is a comprehensive AI Data Cloud platform designed to eliminate data silos and simplify data architectures, enabling organizations to get more value from their data. The platform offers interoperable storage that provides near-infinite scale and access to diverse data sources, both inside and outside Snowflake. Its elastic compute engine delivers high performance for any number of users, workloads, and data volumes with seamless scalability. Snowflake’s Cortex AI accelerates enterprise AI by providing secure access to leading large language models (LLMs) and data chat services. The platform’s cloud services automate complex resource management, ensuring reliability and cost efficiency. Trusted by over 11,000 global customers across industries, Snowflake helps businesses collaborate on data, build data applications, and maintain a competitive edge.Starting Price: $2 compute/month -
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Kubernetes
Kubernetes
Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community. Designed on the same principles that allows Google to run billions of containers a week, Kubernetes can scale without increasing your ops team. Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is. Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.Starting Price: Free -
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Red Hat OpenShift
Red Hat
The Kubernetes platform for big ideas. Empower developers to innovate and ship faster with the leading hybrid cloud, enterprise container platform. Red Hat OpenShift offers automated installation, upgrades, and lifecycle management throughout the container stack—the operating system, Kubernetes and cluster services, and applications—on any cloud. Red Hat OpenShift helps teams build with speed, agility, confidence, and choice. Code in production mode anywhere you choose to build. Get back to doing work that matters. Red Hat OpenShift is focused on security at every level of the container stack and throughout the application lifecycle. It includes long-term, enterprise support from one of the leading Kubernetes contributors and open source software companies. Support the most demanding workloads including AI/ML, Java, data analytics, databases, and more. Automate deployment and life-cycle management with our vast ecosystem of technology partners.Starting Price: $50.00/month -
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NVIDIA Onyx
NVIDIA
NVIDIA® Onyx® delivers a new level of flexibility and scalability to next-generation data centers. Onyx has tight turnkey integrations with popular hyperconverged and software-defined storage solutions. With its robust layer-3 protocol stack, built-in monitoring and visibility tools, and high-availability mechanisms, Onyx is an ideal network operating system for enterprise and cloud data centers. Run your custom containerized applications side by side with NVIDIA Onyx. Eliminate the need for one-off servers and seamlessly shrinkwrap solutions into the networking infrastructure. Strong integration with popular hyper-converged infrastructure and software-defined storage solutions. Classic network operating system with a traditional command-line interface (CLI) Single-line command to configure, monitor, and troubleshoot remote direct-memory access over converged Ethernet (RoCE) Support for containerized applications with complete access to the software development kit (SDK). -
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An enhanced version of PostgreSQL that is continuously synchronized with PostgreSQL's with enhancements for Security, DBA and Developer features and Oracle database compatibility. Manage deployment, high availability and automated failover from Kubernetes. Deploy anywhere with lightweight, immutable Postgres containers. Automate with failover, switchover, backup, recovery, and rolling updates. Operator and images are portable to any cloud so you can avoid lock-in. Overcome containerization and Kubernetes challenges with our experts. Oracle compatibility means you can leave your legacy database without starting over. Migrate database and client applications faster with fewer rewrite problems. Improve the end-user experience by tuning and boosting performance. Deploy on-premises, in the cloud, or both. In a world where downtime means revenue loss, High Availability is key for business continuity.Starting Price: $1000.00/one-time
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DataStax
DataStax
The Open, Multi-Cloud Stack for Modern Data Apps. Built on open-source Apache Cassandra™. Global-scale and 100% uptime without vendor lock-in. Deploy on multi-cloud, on-prem, open-source, and Kubernetes. Elastic and pay-as-you-go for improved TCO. Start building faster with Stargate APIs for NoSQL, real-time, reactive, JSON, REST, and GraphQL. Skip the complexity of multiple OSS projects and APIs that don’t scale. Ideal for commerce, mobile, AI/ML, IoT, microservices, social, gaming, and richly interactive applications that must scale-up and scale-down with demand. Get building modern data applications with Astra, a database-as-a-service powered by Apache Cassandra™. Use REST, GraphQL, JSON with your favorite full-stack framework Richly interactive apps that are elastic and viral-ready from Day 1. Pay-as-you-go Apache Cassandra DBaaS that scales effortlessly and affordably. -
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ZEOS
Vizru
Vizru ZEOS. Build and deploy full-stack, AI applications at scale, with Zero lines of code. Scale your AI applications using Vizru ZEOS Industry's first operating system to manage stability, performance and deployment of applications across multi-cloud environment. Compliant Let ZEOS Manage Everything. Deploy and forget as the ZEOS layer completely manages governance and security. Capitalize on a responsive OS that continuously monitors anomalies, performance, and risk vectors across all applications. Achieve regulatory compliance rapidly with inbuilt feedback and self-learning OS. Hyper-scalable. Grow infinitely Deploy big data applications with Elastic NO-SQL database. Execute high-frequency cross-app processes with distributed workflow orchestration. Assure real-time response with in-memory data management. Containerized. Go Super Portable. Port and scale dynamically with Docker + Kubernetes support out-of-the-box. Move apps between clouds effortlessly -
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Ondat
Ondat
Accelerate your development by using a storage layer that works natively with your Kubernetes environment. Focus on running your application, while we make sure you have the persistent volumes that give you the scale and stability you need. Reduce complexity and increase efficiency in your app modernization journey by truly integrating stateful storage into Kubernetes. Run your database or any persistent workload in a Kubernetes environment without having to worry about managing the storage layer. Ondat gives you the ability to deliver a consistent storage layer across any platform. We give you the persistent volumes to allow you to run your own databases without paying for expensive hosted options. Take back control of your data layer in Kubernetes. Kubernetes-native storage with dynamic provisioning that works as it should. Fully API-driven, tight integration with your containerized applications. -
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Container Service for Kubernetes (ACK) from Alibaba Cloud is a fully managed service. ACK is integrated with services such as virtualization, storage, network and security, providing user a high performance and scalable Kubernetes environments for containerized applications. Alibaba Cloud is a Kubernetes Certified Service Provider (KCSP) and ACK is certified by Certified Kubernetes Conformance Program which ensures consistent experience of Kubernetes and workload portability. Kubernetes Certified Service Provider (KCSP) and qualified by Certified Kubernetes Conformance Program. Ensures Kubernetes consistent experience, workload portability. Provides deep and rich enterprise-class cloud native abilities. Ensures end-to-end application security and provides fine-grained access control. Allows you to quickly create Kubernetes clusters. Provides container-based management of applications throughout the application lifecycle.
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GIGABYTE Rack Server
GIGABYTE
Scalable rack servers have a high level of flexibility and are optimized for demanding applications in the data center. Rack density from 1U to 5U, servers are designed for single and multi-socket options for x86 processors from AMD and Intel as well as for ARM processors from Ampere. For Big Data, high-performance computing, hyper-converged infrastructure, software-defined storage, and virtualization. -
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IBM Cloud® Kubernetes Service is a certified, managed Kubernetes solution, built for creating a cluster of compute hosts to deploy and manage containerized apps on IBM Cloud®. It provides intelligent scheduling, self-healing, horizontal scaling and securely manages the resources that you need to quickly deploy, update and scale applications. IBM Cloud Kubernetes Service manages the master, freeing you from having to manage the host OS, container runtime and Kubernetes version-update process.Starting Price: $0.11 per hour
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VMware Tanzu Kubernetes Grid
Broadcom
Power your modern applications with VMware Tanzu Kubernetes Grid. Run the same K8s across data center, public cloud and edge for a consistent, secure experience for all development teams. Keep your workloads properly isolated and secure. Get a complete, easy-to-upgrade Kubernetes runtime with preintegrated and validated components. Deploy and scale all clusters without downtime. Apply security fixes fast. Run your containerized applications on a certified Kubernetes distribution, bolstered by the global Kubernetes community. Use your existing data center tools and workflows to give developers secure, self-serve access to conformant Kubernetes clusters in your VMware private cloud, and extend the same consistent Kubernetes runtime across your public cloud and edge environments. Simplify operations of large-scale, multicluster Kubernetes environments, and keep your workloads properly isolated. Automate lifecycle management to reduce your risk and shift your focus to more strategic work. -
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Nutanix Kubernetes Engine
Nutanix
Fast-track your way to production-ready Kubernetes and simplify lifecycle management with Nutanix Kubernetes Engine, an enterprise Kubernetes management solution. NKE empowers you to deliver and manage an end-to-end, production-ready Kubernetes environment with push-button simplicity while preserving a native user experience. Deploy and configure production-ready Kubernetes clusters in minutes, as opposed to days or weeks. Automatically configure and deploy your Kubernetes clusters for high availability through NKE’s simple, streamlined workflow. Every NKE Kubernetes cluster is deployed with a Nutanix full-featured CSI driver, which natively integrates with Volumes Block Storage and Files Storage to easily provide persistent storage for containerized applications. Add Kubernetes worker nodes with a single click. When additional physical resources are needed, expanding the cluster is just as simple. -
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Diego
Tech Amigos
Between Kubernetes, AWS, and observability tools, deploying new software has become nightmarishly complex. Diego offers a simpler way. Automate code-to-cloud setup and ship software faster with Diego: - Build with confidence on a well-architected cloud setup (ArgoCD, Kubernetes, Prometheus) - Ready-to-use environments and pipelines – no config required - Saves months of DevOps work and slashes cycle times Diego gives you everything you need to deploy secure, scalable, and resilient containerized applications – fast. -
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Azure Kubernetes Service (AKS)
Microsoft
The fully managed Azure Kubernetes Service (AKS) makes deploying and managing containerized applications easy. It offers serverless Kubernetes, an integrated continuous integration and continuous delivery (CI/CD) experience, and enterprise-grade security and governance. Unite your development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence. Elastic provisioning of additional capacity without the need to manage the infrastructure. Add event-driven autoscaling and triggers through KEDA. Faster end-to-end development experience with Azure Dev Spaces including integration with Visual Studio Code Kubernetes tools, Azure DevOps, and Azure Monitor. Advanced identity and access management using Azure Active Directory, and dynamic rules enforcement across multiple clusters with Azure Policy. Available in more regions than any other cloud providers. -
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Huawei FusionCube
Huawei
Huawei’s FusionCube hyper-converged infrastructure brings compute, storage, network, virtualization, and management into one tightly integrated package to achieve high performance, low latency, and rapid deployment. FusionCube’s built-in distributed storage engines enable deep convergence of compute and storage. These Huawei-developed engines eliminate performance bottlenecks while allowing for flexible capacity expansion. FusionCube supports industry mainstream databases and virtualization software. Huawei FusionCube 1000 HyperVisor&Data is data storage infrastructure based on converged architecture. It pre-integrates a distributed storage engine, virtualization software, and cloud management software to support on-demand resource allocation and linear expansion. -
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Cisco's collaboration with Nutanix delivers a comprehensive hyper converged infrastructure solution that integrates computing, storage, and networking resources into a unified, software-defined platform. This partnership leverages Cisco's Unified Computing System (UCS) hardware and Intersight management platform alongside Nutanix's software capabilities to provide a scalable and efficient HCI environment. The solution offers zero-touch operations from the data center to the edge, enhancing resilience through natively integrated networking and allowing independent scaling of compute and storage resources to meet evolving application needs. It supports various configurations, including Cisco's C-Series rack servers and the modular X-Series systems, catering to diverse enterprise requirements. Management is streamlined via Cisco Intersight, enabling deployment, configuration, and oversight of hyper-converged systems from a single interface accessible anytime and anywhere.
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Rancher
Rancher Labs
From datacenter to cloud to edge, Rancher lets you deliver Kubernetes-as-a-Service. Rancher is a complete software stack for teams adopting containers. It addresses the operational and security challenges of managing multiple Kubernetes clusters, while providing DevOps teams with integrated tools for running containerized workloads. From datacenter to cloud to edge, Rancher's open source software lets you run Kubernetes everywhere. Compare Rancher with other leading Kubernetes management platforms in how they deliver. You don’t need to figure Kubernetes out all on your own. Rancher is open source software, with an enormous community of users. Rancher Labs builds software that helps enterprises deliver Kubernetes-as-a-Service across any infrastructure. When running Kubernetes workloads in mission-critical environments, our community knows that they can turn to us for world-class support. -
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VMware vSphere
Broadcom
Get the power of the enterprise workload engine. Boost workload performance, improve security and speed up innovation for your business. vSphere delivers essential services for the modern hybrid cloud. The new vSphere has been rearchitected with native Kubernetes to run existing enterprise applications alongside modern containerized applications in a unified manner. Transform on-premises infrastructure with cloud integration. Boost productivity with central management, global insights and automation. Power up with add-on cloud services. Meet the throughput and latency needs of distributed workloads by accelerating networking functions on the DPU. Free up GPU resources for faster AI/ML model training and higher complexity models. -
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Falco
Sysdig
Falco is the open source standard for runtime security for hosts, containers, Kubernetes and the cloud. Get real-time visibility into unexpected behaviors, config changes, intrusions, and data theft. Secure containerized applications, no matter what scale, using the power of eBPF. Protect your applications in real time wherever they run, whether bare metal or VMs. Falco is Kubernetes-compatible, helping you instantly detect suspicious activity across the control plane. Detect intrusions in real time across your cloud, from AWS, GCP or Azure, to Okta, Github and beyond. Falco detects threats across containers, Kubernetes, hosts and cloud services. Falco provides streaming detection of unexpected behavior, configuration changes, and attacks. A multi-vendor and broadly supported standard that you can rely on.Starting Price: Free -
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IBM Cloud™ Data Shield enables users to run containerized applications in a secure enclave on an IBM Cloud Kubernetes Service host, providing data-in-use protection. IBM Cloud Data Shield supports user-level code to allocate private regions of memory, called enclaves, that are protected from processes running at higher privilege levels. It extends Intel Software Guard Extensions (SGX) language support from C and C++ to Python and Java™, while also providing preconverted SGX applications for MySQL, NGINX and Vault. Powered by the Fortanix Runtime Encryption platform and Intel SGX technology, these tools enable organizations with sensitive data to leverage cloud computing with more confidence. IBM Cloud Data Shield helps enable organizations with sensitive data to deploy and benefit from cloud computing. IBM Cloud Data Shield can run containerized applications in secure enclaves on the IBM Cloud Kubernetes Service.
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Werf
Werf
The CLI tool gluing Git, Docker, Helm & Kubernetes with any CI system to implement CI/CD and Giterminism. Establish and benefit from efficient, robust, and integrated CI/CD pipelines on top of proven technologies. With Werf, it’s easy to start, apply best practices, and avoid reinventing the wheel. Werf not only builds & deploys but also continuously syncs the current Kubernetes state with changes made in Git. Werf introduces Giterminism, use git as a single source of truth, and make the entire delivery pipeline deterministic and idempotent. Werf supports 2 ways to deploy an application. converge application from git commit into the Kubernetes, publish application from git commit into the container registry as a bundle, then deploy bundle into the Kubernetes. Werf just works out of the box with a minimal configuration. You don't even need to be a DevOps/SRE engineer to use werf. Many guides are provided to quickly deploy your app into Kubernetes. -
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GIGABYTE High Density Server
GIGABYTE
Compute, storage, and networking are possible in high-density, multi-node servers at lower TCO and greater efficiency. High-Performance Computing (HPC), Hyper-Converged Infrastructure (HCI), edge computing, and file storage. -
27
Hopsworks
Logical Clocks
Hopsworks is an open-source Enterprise platform for the development and operation of Machine Learning (ML) pipelines at scale, based around the industry’s first Feature Store for ML. You can easily progress from data exploration and model development in Python using Jupyter notebooks and conda to running production quality end-to-end ML pipelines, without having to learn how to manage a Kubernetes cluster. Hopsworks can ingest data from the datasources you use. Whether they are in the cloud, on‑premise, IoT networks, or from your Industry 4.0-solution. Deploy on‑premises on your own hardware or at your preferred cloud provider. Hopsworks will provide the same user experience in the cloud or in the most secure of air‑gapped deployments. Learn how to set up customized alerts in Hopsworks for different events that are triggered as part of the ingestion pipeline.Starting Price: $1 per month -
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Sangfor Kubernetes Engine
Sangfor
Sangfor Kubernetes Engine (SKE) is a container management platform built on upstream Kubernetes, fully integrated into Sangfor HCI and managed by Sangfor Cloud Platform, that provides a unified environment for running and managing both containers and virtual machines with simplicity, reliability, and security. Ideal for deploying new containerized applications, transitioning to microservices architectures, or consolidating existing VM workloads, SKE offers centralized account, permission, monitoring, and alert management across all workloads. Users can automate the creation of production‑ready Kubernetes clusters in as little as 15 minutes, eliminating manual OS installation and configuration, and leverage a rich set of out‑of‑the‑box components for rapid application deployment, visualized monitoring, diverse log types, and built‑in high‑performance load balancing. -
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FlashOS
Burlywood
Burlywood FlashOS™ is the industry’s first flash storage architecture that analyzes application behavior at the flash controller level, tunes SSD performance & features to be a perfect fit for the application, and delivers measurable benefits to the bottom line for customers deploying cloud storage, all-flash arrays, and hyper-converged solutions. Our purpose-built FlashOS™ controller technology enables the next generation SSDs for the data center. The first software-defined SSD solution for today’s complex cloud applications. Deep analysis and understanding of your storage environment. A unique, flexible software business model gives you control of the supply chain and costs. The only application-focused, adaptable solution for storage. Technical and strategic support during all phases of the lifecycle. Legacy storage can not keep pace with today’s complex cloud applications. -
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MicroK8s
Canonical
Low-ops, minimal production Kubernetes, for devs, cloud, clusters, workstations, Edge and IoT. MicroK8s automatically chooses the best nodes for the Kubernetes datastore. When you lose a cluster database node, another node is promoted. No admin needed for your bulletproof edge. MicroK8s is small, with sensible defaults that ‘just work’. A quick install, easy upgrades and great security make it perfect for micro clouds and edge computing. Full enterprise support available, with no subscription needed. Optional 24/7 support with 10 year security maintenance. Under the cell tower. On the racecar. On satellites or everyday appliances, MicroK8s delivers the full Kubernetes experience on IoT and micro clouds. Fully containerized deployment with compressed over-the-air updates for ultra-reliable operations. MicroK8s will apply security updates automatically by default, defer them if you want. Upgrade to a newer version of Kubernetes with a single command. It’s really that easy. -
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IONOS Cloud Managed Kubernetes is a platform designed to orchestrate containerized applications through a fully automated Kubernetes environment that simplifies deployment, scaling, and management of container workloads. It enables users to quickly create and manage Kubernetes clusters and node pools without handling the complexity of the underlying infrastructure. It supports the automated setup of clusters on virtual servers and allows developers to configure hardware properties such as CPU type, number of CPUs per node, RAM, storage size, and storage performance to match specific workload requirements. It is built for distributed production environments and provides integrated persistent storage so that both stateless applications and stateful services can run reliably. Automatic scaling adjusts resources up or down depending on demand, maintaining consistent performance and availability during traffic spikes while preventing unnecessary overprovisioning.Starting Price: $0.05 per hour
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Saturn Cloud
Saturn Cloud
Saturn Cloud is an AI/ML platform available on every cloud. Data teams and engineers can build, scale, and deploy their AI/ML applications with any stack. Quickly spin up environments to test new ideas, then easily deploy them into production. Scale fast—from proof-of-concept to production-ready applications. Customers include NVIDIA, CFA Institute, Snowflake, Flatiron School, Nestle, and more. Get started for free at: saturncloud.ioStarting Price: $0.005 per GB per hour -
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Kitecyber
Kitecyber
Kitecyber provides a hyper-converged endpoint security solution that provides comprehensive security and meets compliance requirements of organizations for SOC2, ISO27001, HIPAA, PCI-DSS, GDPR etc. Our unique endpoint-based approach eliminates the need for cloud gateways or local appliances. The hyper-converged offering includes the following protections: 1) Secure Web Gateway to safeguard internet access 2) Eliminate Shadow SaaS and Shadow AI) 3) Anti-Phishing measures to protect user credentials 4) Zero Trust Private Access (Next gen VPN) 5) Data Loss Prevention across all devices—Mac, Windows, and mobile 6) Device Management for Mac, Windows, and mobile for all employees, BYOD devices and 3rd party contractors 7) Continuous Compliance Monitoring 8) User Behavior Analysis to identify potential risks -
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Lumen Edge Private Cloud
Lumen Technologies
Match your IT vision to your business goals with a Software-Defined Data Center (SDDC). Lumen® Private Cloud on VMware Cloud Foundation™ brings together compute, storage and network virtualization into a natively integrated stack that transforms the data center to meet the demands of the digital age. Boost application performance and reduce risk by eliminating complex processes and setting security policies that follow workloads. Modernize and enable agile services-oriented IT that simplifies management, reduces the burden on IT staff and delivers new environments in minutes. Leverage existing tools, eliminate investments in new hardware and use a predictable cost model to know exactly what you’re spending. Hyper-converged infrastructure based on HPE® or Dell hardware to build around applications, not infrastructure. -
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Altinity
Altinity
Altinity's expert engineering team can implement everything from core ClickHouse features to Kubernetes operator behavior to client library improvements. A flexible docker-based GUI manager for ClickHouse that can do the following: Install ClickHouse clusters; Add, delete, and replace nodes; Monitor cluster status; Help with troubleshooting and diagnostics. 3rd party tools and software integrations: Ingest: Kafka, ClickTail; APIs: Python, Golang, ODBC, Java; Kubernetes; UI tools: Grafana, Superset, Tabix, Graphite; Databases: MySQL, PostgreSQL; BI tools: Tableau and many more. Altinity.Cloud incorporates lessons from helping hundreds of customers operate ClickHouse-based analytics. Altinity.Cloud has a Kubernetes-based architecture that delivers portability and user choice of where to operate. Designed from the beginning to run anywhere without lock-in. Cost management is critical for SaaS businesses. -
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VoltDB
VoltDB
Volt Active Data is a data platform built to make your entire tech stack leaner, faster, and less expensive, so that your applications (and your company) can scale seamlessly to meet the ultra-low latency SLAs of 5G, IoT, edge computing, and whatever comes next. Designed to augment your existing big data investments, such as NoSQL, Hadoop, Kubernetes, Kafka, and traditional databases or data warehouses, Volt Active Data replaces the various layers typically required to make contextual decisions on streaming data with a single, unified layer that can handle ingest to action in less than 10 milliseconds. The world is full of data that’s generated, stored, forgotten, and then deleted. “Active Data” is data that needs to be acted on immediately to gain business value from it. There are lots of traditional and NoSQL data storage products that you can use to keep such data. There’s also data that you can make money from, if only you can act on it fast enough to ‘influence the moment’. -
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Azure Red Hat OpenShift
Microsoft
Azure Red Hat OpenShift provides highly available, fully managed OpenShift clusters on demand, monitored and operated jointly by Microsoft and Red Hat. Kubernetes is at the core of Red Hat OpenShift. OpenShift brings added-value features to complement Kubernetes, making it a turnkey container platform as a service (PaaS) with a significantly improved developer and operator experience. Highly available, fully managed public and private clusters, automated operations, and over-the-air platform upgrades. Take advantage of the enhanced user interface for application topology and builds in the web console to build, deploy, configure, and visualize containerized applications and cluster resources more easily.Starting Price: $0.44 per hour -
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Dell EMC VxRail
Dell Technologies
Whether you are accelerating data center modernization, deploying a hybrid cloud or creating a developer-ready Kubernetes platform, VxRail delivers a turnkey experience that enables continuous innovation. Joint engineering between Dell EMC and VMware leads to a seamless, curated, and optimized hyperconverged experience. This deep integration combined with the simplicity of VxRail HCI System Software and the performance of next-generation PowerEdge servers provides an ideal platform across core, edge, and cloud. K8s your way – accelerate developer productivity through an automated seamless experience with infrastructure options that meets your Kubernetes readiness journey. VxRail HCI System Software delivers highly differentiated features and benefits extending VMware native capabilities to automate deployments and ongoing operations while providing full stack single-click lifecycle management. -
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KServe
KServe
Highly scalable and standards-based model inference platform on Kubernetes for trusted AI. KServe is a standard model inference platform on Kubernetes, built for highly scalable use cases. Provides performant, standardized inference protocol across ML frameworks. Support modern serverless inference workload with autoscaling including a scale to zero on GPU. Provides high scalability, density packing, and intelligent routing using ModelMesh. Simple and pluggable production serving for production ML serving including prediction, pre/post-processing, monitoring, and explainability. Advanced deployments with the canary rollout, experiments, ensembles, and transformers. ModelMesh is designed for high-scale, high-density, and frequently-changing model use cases. ModelMesh intelligently loads and unloads AI models to and from memory to strike an intelligent trade-off between responsiveness to users and computational footprint.Starting Price: Free -
40
Secure your container environment on GCP, GKE, or Anthos. Containerization allows development teams to move fast, deploy software efficiently, and operate at an unprecedented scale. As enterprises create more containerized workloads, security must be integrated at each stage of the build-and-deploy life cycle. Infrastructure security means that your container management platform provides the right security features. Kubernetes includes security features to protect your identities, secrets, and network, and Google Kubernetes Engine uses native GCP functionality—like Cloud IAM, Cloud Audit Logging, and Virtual Private Clouds—and GKE-specific features like application layer secrets encryption and workload identity to bring the best of Google security to your workloads. Securing the software supply chain means that container images are safe to deploy. This is how you make sure your container images are vulnerability free and that the images you build aren't modified.
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Kubermatic Kubernetes Platform
Kubermatic
Kubermatic Kubernetes Platform (KKP) helps enterprises successfully drive digital transformation by automating their cloud operations anywhere. KKP enables operations and DevOps teams to centrally manage VMs and containerized workloads across hybrid-cloud, multi-cloud, and edge environments with an intuitive self-service developer and operations portal. Kubermatic Kubernetes Platform is open source. Automate operations of thousands of Kubernetes clusters across multi-cloud, on-prem, and edge environments with unparalleled density and resilience. Setup and run your multicloud self service Kubernetes platform with the shortest time to market. Empower your developers and operations team to deploy their clusters in less than three minutes on any infrastructure. Centrally manage your workloads from a single dashboard with a consistent experience from cloud to on-prem to edge. Manage your cloud native stack at scale with enterprise level governance. -
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Red Hat OpenShift Dev Spaces
Red Hat
Built on the open Eclipse Che project, Red Hat OpenShift Dev Spaces uses Kubernetes and containers to provide any member of the development or IT team with a consistent, secure, and zero-configuration development environment. The experience is as fast and familiar as an integrated development environment on your laptop. OpenShift Dev Spaces is included with your OpenShift subscription and is available in the Operator Hub. It provides development teams a faster and more reliable foundation on which to work, and it gives operations centralized control and peace of mind. Get coding today with our free Developer Sandbox for Red Hat OpenShift, which includes OpenShift Dev Spaces to try out at no cost. Developers can focus more on coding, with their application and development environment containerized and running on OpenShift - all without needing to understand the details of Kubernetes. Administrators can easily manage and monitor workspaces as any other Kubernetes resource.Starting Price: $30 per month -
43
VMware Tanzu
Broadcom
Microservices, containers and Kubernetes help to free apps from infrastructure, enabling them to work independently and run anywhere. With VMware Tanzu, you can make the most of these cloud native patterns, automate the delivery of containerized workloads, and proactively manage apps in production. It’s all about freeing developers to do their thing: build great apps. Adding Kubernetes to your infrastructure doesn’t have to add complexity. With VMware Tanzu, you can ready your infrastructure for modern apps with consistent, conformant Kubernetes everywhere. Provide a self-service, compliant experience for developers that clears their path to production. Then centrally manage, govern and observe all clusters and apps across clouds. It’s that simple. -
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Build your deep learning project quickly on Google Cloud: Quickly prototype with a portable and consistent environment for developing, testing, and deploying your AI applications with Deep Learning Containers. These Docker images use popular frameworks and are performance optimized, compatibility tested, and ready to deploy. Deep Learning Containers provide a consistent environment across Google Cloud services, making it easy to scale in the cloud or shift from on-premises. You have the flexibility to deploy on Google Kubernetes Engine (GKE), AI Platform, Cloud Run, Compute Engine, Kubernetes, and Docker Swarm.
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45
SUSE Linux Micro
SUSE
SUSE Linux Micro is a lightweight, container-optimized Linux operating system designed for edge computing and microservices environments. It offers a small footprint with security and performance optimized for deploying containerized applications. The platform enables fast, scalable, and cost-efficient cloud-native development, especially in resource-constrained environments. With built-in automation tools and compatibility with Kubernetes, SUSE Linux Micro supports seamless integration into modern containerized infrastructures. It is ideal for developers and IT operations teams who need to deploy and manage applications across distributed environments efficiently. -
46
dstack
dstack
dstack is an orchestration layer designed for modern ML teams, providing a unified control plane for development, training, and inference on GPUs across cloud, Kubernetes, or on-prem environments. By simplifying cluster management and workload scheduling, it eliminates the complexity of Helm charts and Kubernetes operators. The platform supports both cloud-native and on-prem clusters, with quick connections via Kubernetes or SSH fleets. Developers can spin up containerized environments that link directly to their IDEs, streamlining the machine learning workflow from prototyping to deployment. dstack also enables seamless scaling from single-node experiments to distributed training while optimizing GPU usage and costs. With secure, auto-scaling endpoints compatible with OpenAI standards, it empowers teams to deploy models quickly and reliably. -
47
Nebius
Nebius
Training-ready platform with NVIDIA® H100 Tensor Core GPUs. Competitive pricing. Dedicated support. Built for large-scale ML workloads: Get the most out of multihost training on thousands of H100 GPUs of full mesh connection with latest InfiniBand network up to 3.2Tb/s per host. Best value for money: Save at least 50% on your GPU compute compared to major public cloud providers*. Save even more with reserves and volumes of GPUs. Onboarding assistance: We guarantee a dedicated engineer support to ensure seamless platform adoption. Get your infrastructure optimized and k8s deployed. Fully managed Kubernetes: Simplify the deployment, scaling and management of ML frameworks on Kubernetes and use Managed Kubernetes for multi-node GPU training. Marketplace with ML frameworks: Explore our Marketplace with its ML-focused libraries, applications, frameworks and tools to streamline your model training. Easy to use. We provide all our new users with a 1-month trial period.Starting Price: $2.66/hour -
48
Apache Spark
Apache Software Foundation
Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources. -
49
Intel® Server Board S2600BPR-based systems are a purpose built, rack-optimized server board ideal for use in hyper-converged, data analytics, storage, cloud, and high performance computing (HPC) applications. Designed to support the 2nd Generation Intel® Xeon® processor Scalable family and up to 16 DDR4 DIMM slots per server board (eight DIMMs per processor), the S2600BPR family maximizes memory and processor bandwidth to meet demanding compute use requirements.
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50
Incedo Lighthouse
Incedo
Next generation cloud native AI powered Decision Automation platform to develop use case specific solutions. Incedo LighthouseTM harnesses the power of AI in a low code environment to deliver insights and action recommendations, every day, by leveraging the capabilities of Big Data at superfast speed. Incedo LighthouseTM enables you to increase revenue potential by optimizing customer experiences and delivering hyper-personalized recommendations. Our AI and ML driven models allow personalization across the customer lifecycle. Incedo LighthouseTM allows you to achieve lower costs by accelerating the loop of problem discovery, generation of insights and execution of targeted actions. The platform is powered by our ML driven metric monitoring and root cause analyses models. Incedo LighthouseTM monitors the quality of the high volumes of frequent data loads and leverages AI/ML to fix some of the quality issues, thereby improving trust in data.
