Alternatives to Astarte
Compare Astarte alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Astarte in 2026. Compare features, ratings, user reviews, pricing, and more from Astarte competitors and alternatives in order to make an informed decision for your business.
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Distributed AI is a computing paradigm that bypasses the need to move vast amounts of data and provides the ability to analyze data at the source. Distributed AI APIs built by IBM Research is a set of RESTful web services with data and AI algorithms to support AI applications across hybrid cloud, distributed, and edge computing environments. Each Distributed AI API addresses the challenges in enabling AI in distributed and edge environments with APIs. The Distributed AI APIs do not focus on the basic requirements of creating and deploying AI pipelines, for example, model training and model serving. You would use your favorite open-source packages such as TensorFlow or PyTorch. Then, you can containerize your application, including the AI pipeline, and deploy these containers at the distributed locations. In many cases, it’s useful to use a container orchestrator such as Kubernetes or OpenShift operators to automate the deployment process.
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Pipeshift
Pipeshift
Pipeshift is a modular orchestration platform designed to facilitate the building, deployment, and scaling of open source AI components, including embeddings, vector databases, large language models, vision models, and audio models, across any cloud environment or on-premises infrastructure. The platform offers end-to-end orchestration, ensuring seamless integration and management of AI workloads, and is 100% cloud-agnostic, providing flexibility in deployment. With enterprise-grade security, Pipeshift addresses the needs of DevOps and MLOps teams aiming to establish production pipelines in-house, moving beyond experimental API providers that may lack privacy considerations. Key features include an enterprise MLOps console for managing various AI workloads such as fine-tuning, distillation, and deployment; multi-cloud orchestration with built-in auto-scalers, load balancers, and schedulers for AI models; and Kubernetes cluster management. -
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Cloudify
Cloudify Platform
Manage all private and public environments from one platform using a single CI/CD plugin that connects to ALL automation toolchains. Including Jenkins, Kubernetes, Terraform, Cloud Formation, Azure ARM and more. No installation, no downloads … and on us for the first 30 days. Built-in integration with infrastructure orchestration domains including AWS Cloud formation, Azure ARM, Ansible and Terraform. Service Composition Domain-Specific Language (DSL) – simplifies the relationship between services, handling cascading workflows, shared resources, distributed life-cycle management and more. Orchestration of cloud native Kubernetes services across multiple clusters: OpenShift, GKE, EKS, AKS and KubeSpray. Access a built-in blueprint to automate cluster setup and configuration. Built-in integration with Jenkins and other CI/CD platforms providing a ‘one-stop-shop’ for integrating all orchestration domains to your CI/CD pipeline. -
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Apache Beam
Apache Software Foundation
The easiest way to do batch and streaming data processing. Write once, run anywhere data processing for mission-critical production workloads. Beam reads your data from a diverse set of supported sources, no matter if it’s on-prem or in the cloud. Beam executes your business logic for both batch and streaming use cases. Beam writes the results of your data processing logic to the most popular data sinks in the industry. A simplified, single programming model for both batch and streaming use cases for every member of your data and application teams. Apache Beam is extensible, with projects such as TensorFlow Extended and Apache Hop built on top of Apache Beam. Execute pipelines on multiple execution environments (runners), providing flexibility and avoiding lock-in. Open, community-based development and support to help evolve your application and meet the needs of your specific use cases. -
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IBM DevOps Accelerate can speed and optimize software delivery for any mix of on-premises, cloud, and mainframe applications. DevOps Accelerate software can automate builds, deployments, and releases of monolithic applications, microservices-based applications, or a mix, on the cloud, on-premises, in a data center, or on the mainframe. DevOps Accelerate provides a single point of control to help manage the delivery of microservices workloads across dev/test and production, spanning many clouds, including traditional cloud providers, containers, and VMs. Eliminate human error to release software with confidence. Get extensive pipeline management, visibility, and automation. Transform release toolchains into coherent pipelines. Get visibility, and coordinated delivery. Improve the rate and flow of application delivery with visibility into your DevOps Accelerate delivery pipeline. Eliminate custom scripts and get a deployment process that’s easier to design, and more secure.
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CloverDX
CloverDX
Design, debug, run and troubleshoot data transformations and jobflows in a developer-friendly visual designer. Orchestrate data workloads that require tasks to be carried out in the right sequence, orchestrate multiple systems with the transparency of visual workflows. Deploy data workloads easily into a robust enterprise runtime environment. In cloud or on-premise. Make data available to people, applications and storage under a single unified platform. Manage your data workloads and related processes together in a single platform. No task is too complex. We’ve built CloverDX on years of experience with large enterprise projects. Developer-friendly open architecture and flexibility lets you package and hide the complexity for non-technical users. Manage the entire lifecycle of a data pipeline from design, deployment to evolution and testing. Get things done fast with the help of our in-house customer success teams.Starting Price: $5000.00/one-time -
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Flow-Like
TM9657 GmbH
Flow-Like is an open-source, typed, local-first workflow automation engine for building and executing automation and AI workflows in self-hosted or offline environments. It combines visual, graph-based workflows with strong typing and deterministic execution, making complex systems easier to understand, validate, and maintain. Unlike many workflow tools that rely on untyped JSON, cloud-only backends, or opaque runtime behavior, Flow-Like makes data flow and execution explicit and inspectable. Workflows can run locally, on private servers, in containers, or in Kubernetes without changing semantics. The core runtime is written in Rust for performance, safety, and portability. Flow-Like supports event-driven automation, data processing, document ingestion, and AI pipelines, including typed agent and RAG workflows using local or hosted models. It is designed for developers and organizations that need reliable automation with full control over infrastructure and data.Starting Price: $9.99/month -
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kagent
kagent
kagent is an open source, cloud-native AI agent framework designed to let teams build, deploy, and run autonomous AI agents directly inside Kubernetes clusters to automate complex operational tasks, troubleshoot cloud-native systems, and manage workloads without constant human intervention. It enables DevOps and platform engineers to create intelligent agents that understand natural language, plan, reason, and execute multi-step actions across Kubernetes environments using built-in tools and Model Context Protocol (MCP)-compatible tool integrations for functions like querying metrics, displaying pod logs, managing resources, and interacting with service meshes. It supports multiple model providers (such as OpenAI, Anthropic, and others), agent-to-agent communication for orchestrating sophisticated workflows, and observability features that help teams monitor agent behavior and performance.Starting Price: Free -
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Spring Cloud Data Flow
Spring
Microservice-based streaming and batch data processing for Cloud Foundry and Kubernetes. Spring Cloud Data Flow provides tools to create complex topologies for streaming and batch data pipelines. The data pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a range of data processing use cases, from ETL to import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server uses Spring Cloud Deployer, to deploy data pipelines made of Spring Cloud Stream or Spring Cloud Task applications onto modern platforms such as Cloud Foundry and Kubernetes. A selection of pre-built stream and task/batch starter apps for various data integration and processing scenarios facilitate learning and experimentation. Custom stream and task applications, targeting different middleware or data services, can be built using the familiar Spring Boot style programming model. -
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Alibaba Cloud DevOps Pipeline (Flow)
Alibaba Cloud
Alibaba Cloud DevOps Pipeline (Flow) is an enterprise-level, automated R&D delivery pipeline service. It provides flexible and easy-to-use continuous integration, continuous verification, and continuous release features to help enterprises implement high-quality and efficient business delivery. It is deeply integrated with Alibaba Cloud products and can be released to the public clouds and self-hosted environments of different cloud vendors in different countries. Canary release and phased release policies are applied to avoid the impact of unstable releases and ensure stable business delivery. Provides code scanning, security scanning, and various automated testing capabilities. Alibaba Cloud DevOps Pipeline (Flow) uses multiple quality check methods, such as manual and automated testing, to ensure the quality of business delivery. -
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OpenText for Life Sciences
OpenText
OpenText™ Information Management solutions help life sciences organizations leverage insights from data and content to improve decision-making processes and accelerate product development. Integrate, manage, and securely exchange data across people, systems and things. Leverage information assets from R&D to commercialization. Freedom of choice with cloud-native software that can run anywhere. OpenText for life sciences accelerates the discovery process by extracting actionable insights that drive pipeline innovation. Capture and manage research papers into electronic lab notebooks with intelligent capture. Find insights with text mining. Extract knowledge trapped in the unstructured text contained in clinical trial reports, study protocols, clinical safety and efficiency findings. Find out how to intelligently analyze, classify and extract clinical trial documents to reduce the risk of costly stops and starts. -
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JFrog
JFrog
Fully automated DevOps platform for distributing trusted software releases from code to production. Onboard DevOps projects with users, resources and permissions for faster deployment frequency. Fearlessly update with proactive identification of open source vulnerabilities and license compliance violations. Achieve zero downtime across your DevOps pipeline with High Availability and active/active clustering for your enterprise. Control your DevOps environment with out-of-the-box native and ecosystem integrations. Enterprise ready with choice of on-prem, cloud, multi-cloud or hybrid deployments that scale as you grow. Ensure speed, reliability and security of IoT software updates and device management at scale. Create new DevOps projects in minutes and easily onboard team members, resources and storage quotas to get coding faster.Starting Price: $98 per month -
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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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Kubeflow
Kubeflow
The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow. Kubeflow provides a custom TensorFlow training job operator that you can use to train your ML model. In particular, Kubeflow's job operator can handle distributed TensorFlow training jobs. Configure the training controller to use CPUs or GPUs and to suit various cluster sizes. Kubeflow includes services to create and manage interactive Jupyter notebooks. You can customize your notebook deployment and your compute resources to suit your data science needs. Experiment with your workflows locally, then deploy them to a cloud when you're ready. -
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SecureTrack+
Tufin
Secure your network and cloud environments, and deploy a Zero Trust Architecture with the industry's most powerful security policy automation technology. Achieve end-to-end network security across your hybrid enterprise infrastructure, powered by a single solution designed for both network and cloud security teams. Gain visibility into the security controls across on-premises, hybrid, and multi-cloud environments, and deploy security policy throughout your infrastructure to establish a Zero Trust model - without compromising business agility or developer productivity. Enable cloud migration, inject security into DevOps pipelines, and centrally manage security policies across complex environments. Manual approaches to managing network changes and deploying security policies within your DevOps pipelines is burdensome and can introduce errors and potential security risks. -
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Arcion
Arcion Labs
Deploy production-ready change data capture pipelines for high-volume, real-time data replication - without a single line of code. Supercharged Change Data Capture. Enjoy automatic schema conversion, end-to-end replication, flexible deployment, and more with Arcion’s distributed Change Data Capture (CDC). Leverage Arcion’s zero data loss architecture for guaranteed end-to-end data consistency, built-in checkpointing, and more without any custom code. Leave scalability and performance concerns behind with a highly-distributed, highly parallel architecture supporting 10x faster data replication. Reduce DevOps overhead with Arcion Cloud, the only fully-managed CDC offering. Enjoy autoscaling, built-in high availability, monitoring console, and more. Simplify & standardize data pipelines architecture, and zero downtime workload migration from on-prem to cloud.Starting Price: $2,894.76 per month -
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Huawei Cloud ModelArts
Huawei Cloud
ModelArts is a comprehensive AI development platform provided by Huawei Cloud, designed to streamline the entire AI workflow for developers and data scientists. It offers a full-lifecycle toolchain that includes data preprocessing, semi-automated data labeling, distributed training, automated model building, and flexible deployment options across cloud, edge, and on-premises environments. It supports popular open source AI frameworks such as TensorFlow, PyTorch, and MindSpore, and allows for the integration of custom algorithms tailored to specific needs. ModelArts features an end-to-end development pipeline that enhances collaboration across DataOps, MLOps, and DevOps, boosting development efficiency by up to 50%. It provides cost-effective AI computing resources with diverse specifications, enabling large-scale distributed training and inference acceleration. -
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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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Argo
Argo
Open-source tools for Kubernetes to run workflows, manage clusters and do GitOps right. Kubernetes-native workflow engine supporting DAG and step-based workflows. Declarative continuous delivery with a fully-loaded UI. Advanced Kubernetes deployment strategies such as Canary and Blue-Green made easy. Argo Workflows is an open-source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD. Model multi-step workflows as a sequence of tasks or capture the dependencies between tasks using a graph (DAG). Easily run compute-intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes. Run CI/CD pipelines natively on Kubernetes without configuring complex software development products. Designed from the ground up for containers without the overhead and limitations of legacy VM and server-based environments. -
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Rocket Workload Automation
Rocket Software
Rocket Workload Automation and DevOps Orchestration is a unified platform that enables organizations to design, visualize, orchestrate, and automate business workflows and workload execution across distributed, hybrid, and mainframe environments from a centralized console, helping teams simplify complexity, reduce manual intervention, mitigate operational risk, and improve delivery velocity. It supports cross-platform automation that spans on-premises, cloud, and mainframe systems, giving operators and developers a single place to manage task dependencies, job schedules, and end-to-end process flows while maintaining consistency and reliability across heterogeneous IT landscapes. It includes components such as Rocket Enterprise Orchestrator for scheduling and managing complex development and operations workflows; Rocket Zena for streamlining enterprise workload automation with full visibility into operational processes. -
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GlassFlow
GlassFlow
GlassFlow is a serverless, event-driven data pipeline platform designed for Python developers. It enables users to build real-time data pipelines without the need for complex infrastructure like Kafka or Flink. By writing Python functions, developers can define data transformations, and GlassFlow manages the underlying infrastructure, offering auto-scaling, low latency, and optimal data retention. The platform supports integration with various data sources and destinations, including Google Pub/Sub, AWS Kinesis, and OpenAI, through its Python SDK and managed connectors. GlassFlow provides a low-code interface for quick pipeline setup, allowing users to create and deploy pipelines within minutes. It also offers features such as serverless function execution, real-time API connections, and alerting and reprocessing capabilities. The platform is designed to simplify the creation and management of event-driven data pipelines, making it accessible for Python developers.Starting Price: $350 per month -
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Sensu
Sensu
Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments. Companies like Sony, Box.com, and Activision rely on Sensu to help deliver value to their customers faster and more reliably. Founded in 2017, Sensu offers a comprehensive monitoring solution for enterprises, providing complete visibility across every system, every protocol, every time — from Kubernetes to bare metal. Built by operators, for operators, open source is at the heart of the Sensu product and company, with an active, thriving community of contributors.Starting Price: $600.00/month -
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Tiledesk
Tiledesk
Tiledesk is an open source instant messaging platform for orchestrating and delivering conversational services and applications. Based on the MQTT protocol, Tiledesk orchestrates instant, asynchronous and multichannel communication among all stakeholders of a typical conversational architecture: chatbots, support operators, end users, colleagues, applications, etc. Main Features: • Live Chat Widget with full multichannel experience on Web and Mobile; • Resolution Bot to automate customer support; • Easy Integration with all major AI-platforms, cloud and Open source, from DialogFlow to RASA; • Chat Tools like typing indicator, off-line access, delivery receipts, contact list, conversation history and much more; • Team Organization with multi-project management, SLAs setting, smart assignment of the queues, departments organization and much more; • Seamless conversation allows to “jump” between different channels; • Ticketing Management system; • Monitoring dashboard.Starting Price: €25/month -
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FlowFuse
FlowFuse
FlowFuse is an industrial application software built on Node-RED that lets teams connect machines and protocols, collect and model data, and operate applications at scale while adding AI-powered assistance to accelerate development and deployment. It extends the intuitive low-code, visual programming environment of Node-RED with enterprise-grade features such as secure communication with devices, robust operational management, centralized remote deployment, team collaboration, and comprehensive security controls. FlowFuse includes interactive, responsive dashboards, AI-assisted flow creation and enhancement, and tools for transforming raw data into structured models using natural language prompts. It also adds support for DevOps-style pipelines to manage staged environments and version control, remote fleet management through a device agent, and advanced observability to monitor performance across instances.Starting Price: $20 per month -
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RTE Runner
Cybersoft North America
It is the artificial intelligence solution to analyze complex data, empower decision making and transform human and industrial productivity. It is the automated machine solution that has the potential to reduce the burden on already overwhelmed teams by automating the main bottlenecks in the data science process. It breaks data silos with the intuitive creation of data pipelines that feed live data into deployed models and then dynamically creates model execution pipelines to obtain real-time predictions on incoming data. It monitors the health of deployed models based on the confidence of predictions to inform model maintenance. -
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Bindplane
observIQ
Bindplane is a powerful telemetry pipeline solution built on OpenTelemetry, enabling organizations to collect, process, and route critical data across cloud-native environments. By unifying the process of gathering metrics, logs, traces, and profiles, Bindplane simplifies observability and optimizes resource management. The platform allows teams to centrally manage OpenTelemetry Collectors across various environments, including Linux, Windows, Kubernetes, and legacy systems. With Bindplane, organizations can reduce log volume by 40%, streamline data routing, and ensure compliance through data masking or encryption, all while providing intuitive, no-code controls for easy operation. -
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SiliconFlow
SiliconFlow
SiliconFlow is a high-performance, developer-focused AI infrastructure platform offering a unified and scalable solution for running, fine-tuning, and deploying both language and multimodal models. It provides fast, reliable inference across open source and commercial models, thanks to blazing speed, low latency, and high throughput, with flexible options such as serverless endpoints, dedicated compute, or private cloud deployments. Platform capabilities include one-stop inference, fine-tuning pipelines, and reserved GPU access, all delivered via an OpenAI-compatible API and complete with built-in observability, monitoring, and cost-efficient smart scaling. For diffusion-based tasks, SiliconFlow offers the open source OneDiff acceleration library, while its BizyAir runtime supports scalable multimodal workloads. Designed for enterprise-grade stability, it includes features like BYOC (Bring Your Own Cloud), robust security, and real-time metrics.Starting Price: $0.04 per image -
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Dataddo
Dataddo
Dataddo is a fully-managed, no-code data integration platform that connects cloud-based applications and dashboarding tools, data warehouses, and data lakes. It offers 3 main products: - Data to Dashboards: Send data from apps to dashboarding tools for insights in record time. A free version is available for this product! - Data Anywhere: Send data from apps to warehouses and dashboards, between warehouses, and from warehouses into apps. - Headless Data Integration: Build your own data product on top of the unified Dataddo API. The company’s engineers manage all API changes, proactively monitor and fix pipelines, and build new connectors free of charge in around 10 business days. From first login to complete, automated pipelines, get your data flowing from sources to destinations in just a few clicks.Starting Price: $35/source/month -
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Cloudera Data Science Workbench
Cloudera
Accelerate machine learning from research to production with a consistent experience built for your traditional platform. With Python, R, and Scala directly in the web browser, Cloudera Data Science Workbench (CDSW) delivers a self-service experience data scientists will love. Download and experiment with the latest libraries and frameworks in customizable project environments that work just like your laptop. Cloudera Data Science Workbench provides connectivity not only to CDH and HDP but also to the systems your data science teams rely on for analysis. Cloudera Data Science Workbench lets data scientists manage their own analytics pipelines, including built-in scheduling, monitoring, and email alerting. Quickly develop and prototype new machine learning projects and easily deploy them to production. -
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HyScale
HyScale
HyScale transforms the way agile teams deploy software to modern IT infrastructures powered by cloud, containers and Kubernetes. It's open-source and vendor-neutral. Created and containerized apps for a microservice-based platform minimizing delays in application delivery. Migrated monolithic apps to K8s & set up a self-service process in a few weeks’ time for a leading insurance company from UK. Automated CI/CD pipeline and reduced time to market for a US-based transportation management company. Focus on your app & quickly implement app changes. Continuously deliver microservices to Kubernetes with self-service DevOps. Deliver apps to K8s running on multi-cloud environments. Streamline with left-shifted security & gain visibility over container sprawl. -
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Azure Kubernetes Fleet Manager
Microsoft
Easily handle multicluster scenarios for Azure Kubernetes Service (AKS) clusters such as workload propagation, north-south load balancing (for traffic flowing into member clusters), and upgrade orchestration across multiple clusters. Fleet cluster enables centralized management of all your clusters at scale. The managed hub cluster takes care of the upgrades and Kubernetes cluster configuration for you. Kubernetes configuration propagation lets you use policies and overrides to disseminate objects across fleet member clusters. North-south load balancer orchestrates traffic flow across workloads deployed in multiple member clusters of the fleet. Group any combination of your Azure Kubernetes Service (AKS) clusters to simplify multi-cluster workflows like Kubernetes configuration propagation and multi-cluster networking. Fleet requires a hub Kubernetes cluster to store configurations for placement policy and multicluster networking.Starting Price: $0.10 per cluster per hour -
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Logilica
Logilica
Logilica is the software engineering intelligence platform for fast moving software development teams. Fusing DevOps and Git analytics Logilica enables software leaders with distributed teams to deliver faster, more predictably. One-click connectors and APIs to your existing platform tools to ingest engineering data without moving a finger or filling in a spreadsheet. Prebuilt reports and analytics for humans. Track and optimize your investment effort, risks, and delivery speed. Effortlessly, automatically. Benefit from our open ELT data pipeline to ingest your own data, define your own metrics and dashboards, and create custom insights in minutes. See predicted delays, where to unblock processes, and how to improve delivery flow.Starting Price: $33/user/month -
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Mirantis OpenStack for Kubernetes
Mirantis
Whether your workloads are restricted to on-prem data centers or you’re battling out-of-control public cloud costs, private cloud virtualization is a crucial piece of your infrastructure puzzle. Mirantis OpenStack for Kubernetes gives you the power of public cloud and the time-tested reliability of OpenStack—all built on a flexible and resilient foundation of Kubernetes, putting you back in control of your cloud. OpenStack is the leading open source private cloud infrastructure-as-a-service (IaaS) framework, providing a feature-rich, mature environment for hosting virtual machines, networks, and storage. Mirantis OpenStack for Kubernetes brings virtualized infrastructure into the cloud native world, providing an easy-to-use virtualization platform built on Kubernetes for optimal flexibility and resilience. -
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Zato
Zato
Do less to achieve more and make progress that matters for your business and social initiatives in the integrated world of today. Zato is an open-source, Python-based platform that lets you build and deliver enterprise solutions with ease, from online APIs, business processes, data science, AI, ML, IoT, mainframe and cloud migrations to automation, digital transformation, knowledge graphs and state-of-the-art technologies, combining ease of use with safety and security. Gain advantage by using Python, a real, very high-level programming language. Gain advantage by using Python, a real, very high-level programming language. Focus on high-level logic by using dozens of built-in connectors, adapters, protocols, data formats, components and integration capabilities. Design and develop from your web browser and IDE, test API integrations in pure English, plug into any CI/CD pipeline and deploy to cloud, on premises or hybrid. -
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Build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio empowers you to operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. Unite teams, simplify AI lifecycle management and accelerate time to value with an open, flexible multicloud architecture. Automate AI lifecycles with ModelOps pipelines. Speed data science development with AutoAI. Prepare and build models visually and programmatically. Deploy and run models through one-click integration. Promote AI governance with fair, explainable AI. Drive better business outcomes by optimizing decisions. Use open source frameworks like PyTorch, TensorFlow and scikit-learn. Bring together the development tools including popular IDEs, Jupyter notebooks, JupterLab and CLIs — or languages such as Python, R and Scala. IBM Watson Studio helps you build and scale AI with trust and transparency by automating AI lifecycle management.
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Automic Automation
Broadcom
Enterprises need to automate a complex and diverse landscape of applications, platforms and technologies to deliver services in a competitive digital business environment. Service Orchestration and Automation Platforms are essential scale your IT operations and derive greater value from automation: You have to manage complex workflows across platforms, ERP systems, business apps from mainframe to microservices and multi-cloud. You need to streamline your big data pipelines, enabling self-services for data scientists while providing massive scale and strong governance on data flows. You're required to deliver compute, network and storage resources on-prem and in the cloud for development and business users. Automic Automation gives you the agility, speed and reliability required for effective digital business automation. From a single unified platform, Automic centrally provides the orchestration and automation capabilities needed accelerate your digital transformation. -
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Project Calico
Project Calico
Calico is an open-source networking and network security solution for containers, virtual machines, and native host-based workloads. Calico supports a broad range of platforms including Kubernetes, OpenShift, Mirantis Kubernetes Engine (MKE), OpenStack, and bare metal services. Whether you opt to use Calico's eBPF data plane or Linux’s standard networking pipeline, Calico delivers blazing-fast performance with true cloud-native scalability. Calico provides developers and cluster operators with a consistent experience and set of capabilities whether running in the public cloud or on-prem, on a single node, or across a multi-thousand-node cluster. Calico gives you a choice of data planes, including a pure Linux eBPF data plane, a standard Linux networking data plane, and a Windows HNS data plane. Whether you prefer the cutting-edge features of eBPF or the familiarity of the standard primitives that existing system administrators already know, Calico has you covered.Starting Price: Free -
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Container Engine for Kubernetes (OKE) is an Oracle-managed container orchestration service that can reduce the time and cost to build modern cloud native applications. Unlike most other vendors, Oracle Cloud Infrastructure provides Container Engine for Kubernetes as a free service that runs on higher-performance, lower-cost compute shapes. DevOps engineers can use unmodified, open source Kubernetes for application workload portability and to simplify operations with automatic updates and patching. Deploy Kubernetes clusters including the underlying virtual cloud networks, internet gateways, and NAT gateways with a single click. Automate Kubernetes operations with web-based REST API and CLI for all actions including Kubernetes cluster creation, scaling, and operations. Oracle Container Engine for Kubernetes does not charge for cluster management. Easily and quickly upgrade container clusters, with zero downtime, to keep them up to date with the latest stable version of Kubernetes.
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Hyta
Hyta
Hyta is a platform designed to scale and operationalize AI post-training workflows by creating always-on pipelines of specialized human intelligence and tracking trusted contributions so model improvement is continuous rather than a one-off project. It unifies a community of domain specialists and machine-learning contributors to supply high-quality human signals that support long-horizon, domain-specific model training and reinforcement learning pipelines, with mechanisms to retain contributor trust and context across projects and models. It emphasizes reliable trajectories by tailoring pipelines to organizational and project demands, preserving verified contributions, and enabling persistent feedback that compounds capabilities across industries. Hyta connects contributors, labs, enterprises, and post-training teams in a broader ecosystem, allowing organizations to orchestrate human-in-the-loop workflows at scale and integrate human feedback into model development processes. -
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Google Cloud Composer
Google
Cloud Composer's managed nature and Apache Airflow compatibility allows you to focus on authoring, scheduling, and monitoring your workflows as opposed to provisioning resources. End-to-end integration with Google Cloud products including BigQuery, Dataflow, Dataproc, Datastore, Cloud Storage, Pub/Sub, and AI Platform gives users the freedom to fully orchestrate their pipeline. Author, schedule, and monitor your workflows through a single orchestration tool—whether your pipeline lives on-premises, in multiple clouds, or fully within Google Cloud. Ease your transition to the cloud or maintain a hybrid data environment by orchestrating workflows that cross between on-premises and the public cloud. Create workflows that connect data, processing, and services across clouds to give you a unified data environment.Starting Price: $0.074 per vCPU hour -
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Arroyo
Arroyo
Scale from zero to millions of events per second. Arroyo ships as a single, compact binary. Run locally on MacOS or Linux for development, and deploy to production with Docker or Kubernetes. Arroyo is a new kind of stream processing engine, built from the ground up to make real-time easier than batch. Arroyo was designed from the start so that anyone with SQL experience can build reliable, efficient, and correct streaming pipelines. Data scientists and engineers can build end-to-end real-time applications, models, and dashboards, without a separate team of streaming experts. Transform, filter, aggregate, and join data streams by writing SQL, with sub-second results. Your streaming pipelines shouldn't page someone just because Kubernetes decided to reschedule your pods. Arroyo is built to run in modern, elastic cloud environments, from simple container runtimes like Fargate to large, distributed deployments on the Kubernetes logo Kubernetes. -
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Falcon Cloud Workload Protection
CrowdStrike
Falcon Cloud Workload Protection provides complete visibility into workload and container events and instance metadata enabling faster and more accurate detection, response, threat hunting and investigation, to ensure that nothing goes unseen in your cloud environment. Falcon Cloud Workload Protection secures your entire cloud-native stack, on any cloud, across all workloads, containers and Kubernetes applications. Automate security and detect and stop suspicious activity, zero-day attacks, risky behavior to stay ahead of threats and reduce the attack surface. Falcon Cloud Workload Protection key integrations support continuous integration/continuous delivery (CI/CD) workflows allowing you to secure workloads at the speed of DevOps without sacrificing performance -
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Apprenda
Apprenda
Apprenda Cloud Platform empowers enterprise IT to create a Kubernetes-enabled shared service on the infrastructures of their choice and offer it to developers across business units. ACP supports your entire custom application portfolio. Rapidly build, deploy, run, and manage cloud-native, microservices, and container-based .NET and Java applications or modernize traditional workloads. ACP gives your developers self-service access to the tools they need to rapidly build applications, while IT operators can very easily orchestrate the environments and workflows. Enterprise IT becomes a true service provider. ACP is a single platform spanning your multiple data- centers and clouds. Run ACP on-premise or consume it as a managed service on the public cloud; both with the assurance of complete infrastructure independence. ACP enables policy-driven control over all of your application workloads' infrastructure utilization and DevOps processes. -
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FeatureByte
FeatureByte
FeatureByte is your AI data scientist streamlining the entire lifecycle so that what once took months now happens in hours. Deployed natively on Databricks, Snowflake, BigQuery, or Spark, it automates feature engineering, ideation, cataloging, custom UDFs (including transformer support), evaluation, selection, historical backfill, deployment, and serving (online or batch), all within a unified platform. FeatureByte’s GenAI‑inspired agents, data, domain, MLOps, and data science agents interactively guide teams through data acquisition, quality, feature generation, model creation, deployment orchestration, and continued monitoring. FeatureByte’s SDK and intuitive UI enable automated and semi‑automated feature ideation, customizable pipelines, cataloging, lineage tracking, approval flows, RBAC, alerts, and version control, empowering teams to build, refine, document, and serve features rapidly and reliably. -
45
Stakpak
Stakpak
Stakpak is an open source AI DevOps agent built in Rust that runs in your terminal, CI/CD pipelines, or cloud environment to help you secure, deploy, and maintain production-ready infrastructure with intelligent automation and deep contextual awareness. It provides key capabilities such as incident handling to quickly identify root causes and implement fixes, cloud cost analysis with instant optimization insights, IAM security automation for reviewing and generating secure policies and audit scripts, and application containerization that automates the creation of well-tested, documented Dockerfiles. Stakpak works with your existing tools like Terraform, AWS, Kubernetes, Azure, and Docker while learning from your infrastructure to offer contextually relevant recommendations. It includes security-hardened features that detect and redact over 210 types of secrets and ships with a deterministic guardrail enforcer (Warden) to prevent destructive operations in production.Starting Price: Free -
46
COZYROC SSIS+ Suite
COZYROC
COZYROC's SSIS+ suite includes 270+ data integration adapters, ETL components and tasks for developing ETL solutions with MS SQL Server Integration Services. 141 out-of-the box adapters for consuming web API data. Connectivity for popular CRM, ERP, Accounting, Financials, Legal, Analytics, Administration, Collaboration, Communication, Security, Education, Construction, Marketing, Transportation, Project Management, Productivity, e-Commerce and HR apps COZYROC REST Framework for data integration with any REST service. Sync and import / export data from any REST API service to SQL Server. Data Flow Task Plus for dynamic data flows at runtime. No need to manually open and modify the data flow Lift and Shift your SSIS packages ! Try COZYROC Cloud for free. The COZYROC.Cloud hosted service allows you to Lift & Shift legacy SSIS workloads to the cloud in a breeze at a very affordable price which includes a license for the COZYROC SSIS+ suite.Starting Price: $0 -
47
Talend Open Studio
Qlik
With Talend Open Studio, you can begin building basic data pipelines in no time. Execute simple ETL and data integration tasks, get graphical profiles of your data, and manage files — from a locally installed, open-source environment that you control. If your project is ready to go, jump right in with Talend Cloud. You get the same easy-to-use interface of Open Studio, plus the tools for collaboration, monitoring, and scheduling that ongoing projects require. You can easily add data quality, big data integration, and processing resources, and take advantage of the latest data sources, analytics technologies, and elastic capacity from AWS or Azure when you need it. Join the Talend Community and start your data integration journey on the right foot. Whether you’re a beginner or an expert, the Talend Community is the place to share best practices and hunt for new tricks you haven’t tried. -
48
FishOS
Sardina Systems
The FishOS solution promises to deliver a turnkey infrastructure for traditional enterprise workload and next-gen applications, with data security and protection, zero‐click operations, and AI-enabled operational simplicity through automation. FishOS’ award-winning AI-powered decision engines enable unmatched 10x-reduction in TCO, reducing energy OpEx and hardware and facilities’ CapEx. The solution aims to maximize returns on cloud infrastructure investments while providing elastic pay‐as‐you‐grow economics. We eliminate over-provisioning and prediction risk and enable resilient operations with 24×7 x 365 predictive analytics. A full life-cycle view on OpenStack cloud and Kubernetes orchestration are offered by FishOS. This allows enterprises to confidently and predictably deploy, reliably operate, and upgrade with zero downtime. OpenStack and Kubernetes, together, serve as a framework for building highly scalable clouds to handle the most demanding of workloads. -
49
FlowQi
FlowQi Group B.V.
FlowQi is a powerful all-in-one business management platform that combines CRM, Project Management, and Workflow Automation into one intuitive solution. Designed for SMEs and growing teams, FlowQi helps you streamline your entire business process, reduce complexity, and improve productivity. With FlowQi, you can manage customer relationships, track sales pipelines, organize projects and tasks, and automate repetitive processes—all from one centralized dashboard. Our modular structure lets you start small and scale as your needs grow. Key Features • CRM: Store and manage all customer data, track interactions, and monitor deals in real-time. • Sales Management: Build sales pipelines, forecast revenue, and automate follow-ups. • Project Management: Plan projects, assign tasks, set milestones, and track progress easily. • Task Management: Stay organized with to-do lists, priorities, and deadlines. • Workflow Automation: Save time by automating approvals and notificationsStarting Price: €20/user/month -
50
Openkoda
Openkoda
Openkoda is an application development platform purpose‑built for the needs of the insurance sector. It lets carriers, insurtech, MGAs, insurtech start‑ups and service vendors stand up full‑featured web apps, APIs and internal tools in a fraction of the time traditional development requires - while still giving the team full ownership of the source code. The platform is built upon an open‑source stack which guarantees freedom from vendor lock‑in. A modular architecture with pre‑built templates accelerates common insurance flows - policy issuance, claims, endorsements, renewals, yet everything runs in containerised environments that scale horizontally and charge no per‑user fees. Openkoda ships with domain‑specific accelerators: an AI‑ready policy‑administration core, claims workbenches, embedded‑insurance checkout components, and underwriter dashboards that can pull external risk data or trigger machine‑learning models.Starting Price: $4000/month
