Alternatives to Azure Batch

Compare Azure Batch alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Azure Batch in 2026. Compare features, ratings, user reviews, pricing, and more from Azure Batch competitors and alternatives in order to make an informed decision for your business.

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    JAMS

    JAMS

    JAMS Software

    JAMS is an automation orchestration and job scheduling solution that works across applications, APIs, and scripting languages. Run, monitor, and manage critical IT processes—from simple batch jobs to cross-platform workflows—from a single pane of glass. JAMS can automate jobs on any platform - Windows, Linux, UNIX, IBM i, zOS, and OpenVMS and includes native application integrations to run jobs specific to databases, BI tools, and ERP systems. Its extensive automation features enable you to run jobs on any schedule, as well as trigger off the completion of other events. JAMS centrally monitors the status of all jobs, provides notifications of failure (or success), and maintains a detailed audit trail and log of every execution.
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    JS7 JobScheduler
    JS7 JobScheduler is an Open Source workload automation system designed for performance, resilience and security. It provides unlimited performance for parallel execution of jobs and workflows. JS7 offers cross-platform job execution, managed file transfer, complex no-code job dependencies and a real REST API. Platforms - Cloud scheduling from Containers for Docker®, Kubernetes®, OpenShift® etc. - True multi-platform scheduling on premises for Windows®, Linux®, AIX®, Solaris®, macOS® etc. - Hybrid use for cloud and on premises User Interface - Modern, no-code GUI for inventory management, monitoring and control with web browsers - Near real-time information brings immediate visibility of status changes and log output of jobs and workflows - Multi-client capability, role based access management High Availability - Redundancy and Resilience based on asynchronous design and autonomous Agents - Clustering for all JS7 products, automatic fail-over and manual switch-over
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    ActiveBatch Workload Automation

    ActiveBatch Workload Automation

    ActiveBatch by Redwood

    ActiveBatch by Redwood makes setting up and launching automation easy with no custom scripting required. With a low-code Super REST API adapter, over 100 pre-built job steps and a user-friendly drag-and-drop workflow designer, you can integrate across any system, application and data source, on-prem, in the cloud or in hybrid environments. Maintain complete control and visibility and meet SLAs with monitoring of all automation from a single pane of glass and get custom alerts via emails or SMS. Managed Smart Queues dynamically scale resources for high-volume workloads, reducing process times while the self-service portal enables business users to run and monitor workflows independently. ActiveBatch meets security and compliance standards, with ISO 27001 and SOC 2, Type II certifications, encrypted connections and regular third-party tests, always keeping security at the forefront. Along with ongoing product advancements, get the added benefit of 24x7 support and on-site training.
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    Amazon Elastic Container Service (Amazon ECS)
    Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service. Customers such as Duolingo, Samsung, GE, and Cook Pad use ECS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. ECS is a great choice to run containers for several reasons. First, you can choose to run your ECS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, ECS is used extensively within Amazon to power services such as Amazon SageMaker, AWS Batch, Amazon Lex, and Amazon.com’s recommendation engine, ensuring ECS is tested extensively for security, reliability, and availability.
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    Azure Functions
    Develop more efficiently with Functions, an event-driven serverless compute platform that can also solve complex orchestration problems. Build and debug locally without additional setup, deploy and operate at scale in the cloud, and integrate services using triggers and bindings. End-to-end development experience with integrated tools and built-in DevOps capabilities. Integrated programming model to respond to events and seamlessly connect to other services. Implement a variety of functions and scenarios, such as web apps and APIs with .NET, Node.js, or Java; machine learning workflows with Python; and cloud automation with PowerShell. Get a complete serverless application development experience—from building and debugging locally to deploying and monitoring in the cloud.
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    AWS ParallelCluster
    AWS ParallelCluster is an open-source cluster management tool that simplifies the deployment and management of High-Performance Computing (HPC) clusters on AWS. It automates the setup of required resources, including compute nodes, a shared filesystem, and a job scheduler, supporting multiple instance types and job submission queues. Users can interact with ParallelCluster through a graphical user interface, command-line interface, or API, enabling flexible cluster configuration and management. The tool integrates with job schedulers like AWS Batch and Slurm, facilitating seamless migration of existing HPC workloads to the cloud with minimal modifications. AWS ParallelCluster is available at no additional charge; users only pay for the AWS resources consumed by their applications. With AWS ParallelCluster, you can use a simple text file to model, provision, and dynamically scale the resources needed for your applications in an automated and secure manner.
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    A-AUTO

    A-AUTO

    UNIRITA

    A-AUTO is job-scheduling software that runs on various platforms, including mainframe, IBM z/OS and i5/OS, UNIX, Linux, and MS Windows servers. It integrates jobs automatically across platforms for any application systems, and does 24hours a day, 365 days a year non-stop job scheduling. Reliable execution of batch jobs is essential to the operation of mission-critical applications. The scheduled date of each job is very important to an operation. A-AUTO assigns a schedule date to each process and controls the execution of jobs in chronological order.
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    IBM Spectrum LSF Suites
    IBM Spectrum LSF Suites is a workload management platform and job scheduler for distributed high-performance computing (HPC). Terraform-based automation to provision and configure resources for an IBM Spectrum LSF-based cluster on IBM Cloud is available. Increase user productivity and hardware use while reducing system management costs with our integrated solution for mission-critical HPC environments. The heterogeneous, highly scalable, and available architecture provides support for traditional high-performance computing and high-throughput workloads. It also works for big data, cognitive, GPU machine learning, and containerized workloads. With dynamic HPC cloud support, IBM Spectrum LSF Suites enables organizations to intelligently use cloud resources based on workload demand, with support for all major cloud providers. Take advantage of advanced workload management, with policy-driven scheduling, including GPU scheduling and dynamic hybrid cloud, to add capacity on demand.
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    Slurm
    Slurm Workload Manager, formerly known as Simple Linux Utility for Resource Management (SLURM), is a free, open-source job scheduler and cluster management system for Linux and Unix-like kernels. It's designed to manage compute jobs on high performance computing (HPC) clusters and high throughput computing (HTC) environments, and is used by many of the world's supercomputers and computer clusters.
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    Argent

    Argent

    Argent Software

    Argent Guardian® Ultra is the world's most scalable monitoring solution for all Windows, Linux, UNIX (AIX, HP-UX, SCO, Solaris), and iSeries Servers. Using a patented agent-optional architecture, Argent Guardian® Ultra monitors servers with or without installing agents, providing the power and flexibility to define the monitoring architecture to match customers' exact needs. The days of manually scheduling and managing batch processes are over. Business process automation lowers overall IT costs, ensures application efficiency, enhances IT service and assists with compliance requirements. Argent Job Scheduler and Argent Queue Engine automate business processes, alert customers via Argent Console when issues occur and provide Service Level Agreements so that management receives the Business View of IT. Argent Job Scheduler provides a single point of control across all operating systems, applications and databases for Windows, Linux, Solaris, HP-UX, AIX, SCO and iSeries Servers.
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    Robot Schedule
    Every data center manager wants their IT team to be efficient, meet service-level agreements, and avoid processing errors. Automated job scheduling and batch job management free you and your operators to be more productive. And Robot Schedule is the starting point for any automation project requiring IBM i. Robot Schedule’s workload automation capabilities allow users to automate everything from simple jobs to complex, event-driven processes on multiple platforms and centralize management from your most reliable system, IBM i. Just create a calendar of when and how jobs should run, and the software will do the rest. Your operators have enough tasks on their plates to worry about babysitting scheduled jobs in order to ensure they run on time and in the right order. You and your team can rely on Robot Schedule to provide powerful workload automation for a smoother, error-free job schedule. Choose from more than 25 scheduling parameters.
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    Control-M

    Control-M

    BMC Software

    Control-M is an end-to-end workflow orchestration platform that simplifies how organizations build, schedule, and manage application and data workflows across hybrid environments. It provides a single, unified view that eliminates complexity and ensures critical processes run reliably and on time. With built-in integrations for cloud, mainframe, DevOps tools, and leading data platforms, teams can orchestrate everything from batch jobs to modern data pipelines. Control-M enhances operational efficiency through proactive monitoring, SLA insights, and predictive analytics that prevent delays before they impact the business. Developers and operations teams gain shared visibility and self-service controls, enabling faster delivery cycles and reduced manual effort. By consolidating workflow management into one system, Control-M improves reliability, accelerates innovation, and reduces operational costs.
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    ROC Maestro

    ROC Maestro

    ROC Software

    ROC Software provides an easy to use, yet powerful job scheduling solution with ROC Maestro. For environments that involve UNIX®, Linux®, or Windows®, ROC Maestro dramatically simplifies job scheduling administration while expanding your operational reach. With ROC Maestro, resource constraints are not an issue. Its lightweight, small footprint means you don't need a separate server or large external database to run your cross-platform job scheduling. What's more, the system's sophisticated GUI makes it easy to use. You'll protect your existing IT investments, ensure smooth automated batch processing, and save valuable administrative time and resources. The ability to automate and monitor processes based on reusable calendars, events, cross-platform dependencies and reporting is so easy with ROC Maestro. It's all about getting the centralized control and visibility you need without constantly dealing with the subtle differences between platforms and applications.
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    IBM Workload Automation
    IBM® Workload Automation is a solution for batch and real-time hybrid workload management, available for distributed, mainframe or hosted in the cloud. Streamline your workload management with an analytics-fueled solution. Workload Automation 9.5 introduces new features that dramatically improve the way you manage your enterprise workloads and simplify the automation world. Improve decision-making and reduce costs by centralizing management and eliminating manual activities. Enable greater development agility and integration with DevOps toolchain for business and infrastructure agility. Customize workload dashboards and provide autonomy and precise governance to developers and operators. A modern look and feel simplifies real-time, data-driven decisions. Customization is easy with built-in widgets, including monitoring and support for data from any REST API. Use catalogs and services to submit routine business tasks, running and monitoring processes on demand from a mobile device.
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    Beacon Platform

    Beacon Platform

    Beacon Platform

    Beacon Core is an end-to-end platform designed to supercharge developer productivity. Beacon Core includes enterprise-scale elastic cloud infrastructure, a modern data warehouse, collaborative developer tools, automation services, and a robust and controlled production environment. Once satisfied with the new feature, the developer releases the feature to production with Beacon’s controls workflow. All source code is categorized, with different controls attached to different categories, so that new features that do not affect risk can be released intraday. Beacon’s controls workflow was forged in global investment banks to foster innovation within a highly regulated and tightly controlled environment. We help you customize Beacon’s workflow to balance the opportunities and risks between innovation and controls. Automate manual tasks with user-friendly batch job scheduler, so that you can focus on adding value to the business.
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    AWS Batch
    AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. With AWS Batch, there is no need to install and manage batch computing software or server clusters that you use to run your jobs, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across the full range of AWS compute services and features, such as AWS Fargate, Amazon EC2 and Spot Instances. There is no additional charge for AWS Batch. You only pay for the AWS resources (e.g. EC2 instances or Fargate jobs) you create to store and run your batch jobs.
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    Apache Beam

    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 Tivoli System Automation
    IBM Tivoli System Automation for Multiplatforms (SA MP) is cluster-managing software that facilitates the automatic switching of users, applications, and data from one database system to another in a cluster. Tivoli SA MP automates control of IT resources such as processes, file systems, and IP addresses. Tivoli SA MP provides a framework to automatically manage the availability of what are known as resources. Any piece of software for which start, monitor, and stop scripts can be written to control. Any network interface card to which Tivoli SA MP was granted access. That is, Tivoli SA MP manages the availability of any IP address that a user wants to use by floating that IP address among NICs that it has access to. This is known as a floating or virtual IP address. In a single-partition Db2 environment, a single Db2 instance is running on a server. This Db2 instance has local access to data (its own executable image as well as databases owned by the instance).
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    Quick Batch File Compiler
    Quick Batch File Compiler is the world's first optimizing compiler for batch files. The compiled program can be run in Windows 7/8/10/11 without any restrictions. An .EXE file is much harder to casually reverse-engineer, so this could be a way to conceal a particular batch file's operations from an end user. Content of your batch file will be encrypted and protected from changes. It is very important to understand the difference between a compiler and converters. Our compiler creates executable binary code that runs faster and is safer. As the complexity of the script grows, so does the performance gain after compilation. The converters work like self-extracting archives, unpack your script into a temporary folder and launch it for execution through the standard cmd.exe interpreter. In this case, anyone can see the contents of your script, along with passwords and other information that you tried to hide.
    Starting Price: $39.95
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    Advanced BAT to EXE Converter
    Advanced BAT to EXE Converter is the best choice to compile your batch files to .EXE for distributing commercially. Advanced BAT to EXE Converter creates an actual native Windows .EXE program and encrypts your batch file code. These batch file .EXE do not require any pre-installed software to function and can be digitally signed unlike regular batch files. Even the most complex batch files can be compiled to executables with Advanced BAT to EXE Converter. Your batch file EXE works exactly as the original batch file does on all computers. You can embed your Company Name and Copyright information in the EXE to build your online reputation.
    Starting Price: $89.95
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    Hurricane for AutoCAD

    Hurricane for AutoCAD

    74Mph Solutions

    Batch edit your AutoCAD drawings in 3 clicks (or less), Make simple, complex and/or dynamic changes to each drawing. Manage your files to process. Keep lists, save "project" directories. Share these lists and "user-scripts". Combine user scripts to accomplish complex editing tasks. (You can even store scripts specific to each project, and retrieve them easily.) AutoCAD Electrical ".WDP" project file compatibility - Double-click an AutoCAD Electrical .WDP (Project) file within Hurricanes file selector, to quickly load an entire AutoCAD Electrical project into the FileQueue. This means you can EASILY use AutoCAD to Batch Plot your files, Batch Purge, Batch Bind, batch script anything, maximizing your PC's power to perform redundant tasks fast! Add more time-saving batch script functionality to AutoCAD Electrical, Mechanical, and Architectural. Batch all drawings run in a single AutoCAD session (They don't "open-run-close, open-run-close...")
    Starting Price: $99.95 one-time payment
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    Azure CycleCloud
    Create, manage, operate, and optimize HPC and big compute clusters of any scale. Deploy full clusters and other resources, including scheduler, compute VMs, storage, networking, and cache. Customize and optimize clusters through advanced policy and governance features, including cost controls, Active Directory integration, monitoring, and reporting. Use your current job scheduler and applications without modification. Give admins full control over which users can run jobs, as well as where and at what cost. Take advantage of built-in autoscaling and battle-tested reference architectures for a wide range of HPC workloads and industries. CycleCloud supports any job scheduler or software stack—from proprietary in-house to open-source, third-party, and commercial applications. Your resource demands evolve over time, and your cluster should, too. With scheduler-aware autoscaling, you can fit your resources to your workload.
    Starting Price: $0.01 per hour
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    Data Flow Manager
    Data Flow Manager is an Agentic AI Control Plane for Apache NiFi Operations, built for enterprises running NiFi at real scale. Run, manage, and fix NiFi challenges across all clusters, environments, and flows using simple natural-language prompts. One platform. One control plane. Zero firefighting. DFM replaces fragmented UIs, brittle scripts, and reactive operations with centralized, AI-driven control, enabling NiFi teams to transition from manual operations to governed, autonomous execution. What DFM delivers: • Centralized control across all NiFi clusters and environments • Prompt-driven flow deployment and promotion • Pre-deploy flow validation & sanity checks • Scheduled and controlled flow deployments • Centralized controller service management • Built-in approval workflows and RBAC • Immutable, detailed audit logs • Unified visibility into flow health and runtime state
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    CAPE

    CAPE

    Biqmind

    Multi-Cloud, Multi-Cluster Kubernetes App Deployment & Migration Made Simple. Unleash your K8s superpower with CAPE. Key Features. Disaster Recovery. Stateful application backup and restore for Disaster Recovery Data Mobility & Migration. Secure application & data management and migration across on-prem, private and public clouds. Multi-cluster Application Deployment. Stateful application deployment across multi-cluster & multi-cloud. Drag & Drop CI/CD Workflow Manager. Simplified UI for complex CI/CD pipeline configuration & deployment. CAPE for K8s Disaster Recovery Cluster Migration Cluster Upgrades Data Migration Data Protection Data Cloning App Deployment. CAPE™ radically simplifies advanced Kubernetes functionalities such as Disaster Recovery, Data Mobility & Migration, Multi-cluster Application Deployment, and CI/CD across on-prem, private and public clouds. Multi-Cluster Application Deployment. Control plane to federate clusters, manage application and services
    Starting Price: $20 per month
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    cron-job.org

    cron-job.org

    cron-job.org

    Cron-job.org offers free, reliable scheduling for websites and scripts, allowing tasks to be executed as frequently as every minute or as infrequently as once a year. It provides versatile scheduling options, execution predictions, and a detailed execution history with response data. Users can configure custom HTTP requests, run test jobs for verification, and receive status notifications for failures and recoveries. The platform supports multi-factor authentication for enhanced security and offers a REST API for managing cron jobs programmatically. Powered by 100% CO₂-neutral hydropower and open-source, cron-job.org has been a trusted service for over 15 years, executing millions of tasks daily. We do not share user data with third parties, including your email address, your name, or other information. Every cronjob can be executed up to 60 times an hour, i.e. every minute.
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    NVIDIA Base Command Manager
    NVIDIA Base Command Manager offers fast deployment and end-to-end management for heterogeneous AI and high-performance computing clusters at the edge, in the data center, and in multi- and hybrid-cloud environments. It automates the provisioning and administration of clusters ranging in size from a couple of nodes to hundreds of thousands, supports NVIDIA GPU-accelerated and other systems, and enables orchestration with Kubernetes. The platform integrates with Kubernetes for workload orchestration and offers tools for infrastructure monitoring, workload management, and resource allocation. Base Command Manager is optimized for accelerated computing environments, making it suitable for diverse HPC and AI workloads. It is available with NVIDIA DGX systems and as part of the NVIDIA AI Enterprise software suite. High-performance Linux clusters can be quickly built and managed with NVIDIA Base Command Manager, supporting HPC, machine learning, and analytics applications.
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    F5 Distributed Cloud App Stack
    Deploy and orchestrate applications on a managed Kubernetes platform with centralized, SaaS-based management of distributed applications with a single pane of glass and rich observability. Simplify by managing deployments as one across on-prem, cloud, and edge locations. Achieve effortless management and scaling of applications across multiple k8s clusters (customer sites or F5 Distributed Cloud Regional Edge) with a single Kubernetes compatible API, unlocking the ease of multi-cluster management. Deploy, deliver, and secure applications to all locations as one ”virtual” location. Deploy, secure, and operate distributed applications with uniform production grade Kubernetes no matter the location, from private and public cloud to edge locations. Secure K8s Gateway with zero trust security all the way to the cluster with ingress services with WAAP, service policies management, network, and application firewall.
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    OpenWGA

    OpenWGA

    Innovation Gate

    Showing just an RTF-Editor in a popup window is not how we understand WYSIWYG. Authors need exact control over paragraph length and line breaks, table widths and image sizes to create great-looking content. Just Tags and server-side Javascript - no java inside any template code. OpenWGA Developer Studio supports the software development process by delivering all necessary tools to create, develop, deploy and share OpenWGA web applications. A set of advanced technologies like its secure cluster architecture, JMX monitoring, SSO via SPNEGO, CMIS and the integrated REST-API makes OpenWGA Java CMS the optimal platform to run business critical enterprise applications. The OpenWGA CMS cluster management framework does not only support secure cluster communication and distributed task execution. It also comes with its own integrated session replication with optimized resource handling.
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    Google Cloud Dataproc
    Dataproc makes open source data and analytics processing fast, easy, and more secure in the cloud. Build custom OSS clusters on custom machines faster. Whether you need extra memory for Presto or GPUs for Apache Spark machine learning, Dataproc can help accelerate your data and analytics processing by spinning up a purpose-built cluster in 90 seconds. Easy and affordable cluster management. With autoscaling, idle cluster deletion, per-second pricing, and more, Dataproc can help reduce the total cost of ownership of OSS so you can focus your time and resources elsewhere. Security built in by default. Encryption by default helps ensure no piece of data is unprotected. With JobsAPI and Component Gateway, you can define permissions for Cloud IAM clusters, without having to set up networking or gateway nodes.
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    Unstoppable Copier
    Recovers files from disks with physical damage. Allows you to copy files from disks with problems such as bad sectors, scratches or that just give errors when reading data. The program will attempt to recover every readable piece of a file and put the pieces together. Using this method most types of files can be made useable even if some parts of the file were not recoverable in the end. The program can be used as a daily backup system using its batch mode functions. A list of transfers can be saved to a file and then run from the command line to perform the same batch of transfers on a regular basis without having to use the GUI interface. The program supports command line parameters which allow the application to be run from schedulers or scripts so it can be fully integrated into daily server tasks.
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    Tidal by Redwood

    Tidal by Redwood

    Redwood Software

    The highly-scalable, highly-resilient Tidal Automation platform keeps your entire automation initiative on course, whether you’re automating foundational systems like ERP or orchestrating complex new opportunities in Big Data, IoT, AI, and more. It’s all about leveraging automation to help the enterprise meet its mission. Tidal by Redwood is an easy-to-deploy, easy-to-use, scalable solution that provides a centralized, enterprise-wide interface for planning and controlling execution of business processes, applications, data, middleware, and infrastructure.
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    EasyCron

    EasyCron

    EasyCron

    EasyCron fully supports standard cron expressions that are used in popular Cron implementations (Cronie, Vixie cron Quartz java scheduler, etc.). EasyCron allows users to specify the execution time of a cron job in three ways, by interval, by cron expression, and by manually choosing. Your scripts might generate output during periodical executions. The feature of cron job execution logging allows saving these outputs for later checks. Once you add a cron job, you may see a list of dates and times when will it be executed in the near future. This is called run-time prediction. If cron job execution fails, separate failure logs can be kept (won't get overridden by newer logs of successful execution), thus you can check the failure logs conveniently. Customized HTTP headers can also be sent with your cron job HTTP requests. The HTTP header customization can be used to do HTTP basic authentication, API auth, or send other instructions to the server, etc.
    Starting Price: $24 per year
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    xCAT

    xCAT

    xCAT

    xCAT (Extreme Cloud Administration Toolkit) is an open source tool designed to automate the deployment, scaling, and management of bare metal servers and virtual machines. It offers comprehensive management capabilities for high-performance computing clusters, render farms, grids, web farms, online gaming infrastructures, clouds, and data centers. xCAT provides an extensible framework based on years of system administration best practices, enabling administrators to discover hardware servers, execute remote system management, provision operating systems on physical or virtual machines in both disk and diskless modes, install and configure user applications, and perform parallel system management. The toolkit supports various operating systems, including Red Hat, Ubuntu, SUSE, and CentOS, and is compatible with architectures such as ppc64le, x86_64, and ppc64. It integrates with management protocols like IPMI, HMC, FSP, and OpenBMC, facilitating remote console access.
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    Batch Data Collector

    Batch Data Collector

    Batch Data Collector

    Batch Data Collector is a Chrome Extension that unleashes the power of your browser. Create a recipe, define a batch program, and watch as your computer executes your plans effectively, efficiently and, best of all, autonomously. As you’d expect, Batch Data Collector extracts data and organizes it how you choose, be it Excel tables, CSVs or JSON. We also make it simple to use and incomparably versatile. We won’t tell you we built the most powerful scraper on the planet that’s your job to find out. Batch Data Collector was completely rewritten to offer an interface similar to what you already know – Excel. You can visually compose your final file, and can easily capture the right web elements thanks to our point-and-click guide. Batch Data Collector offers a template area where you can choose a standard or complex task and let us do the rest. From there you can sit back, relax, and watch the progress bar hit 100%!
    Starting Price: $49 per month
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    HttpMaster
    HttpMaster is a debugging and testing tool for various HTTP applications with special focus on web APIs and RESTful web services. Key features: - HttpMaster project to store complete definition of HTTP calls in one single place. - Broad set of HTTP properties (HTTP headers, URL encoding, etc.). - Dynamic parameters to simulate variations of input data or create global API values. - Response data validation with logical expressions. - Request chaining to use data from previous request with the next request. - Extensive data upload support, including 'multipart/form-data'. - Request data builder for creating request body with an optional dynamic parameters. - Request item execution with detailed progress monitoring. - Execution groups to create batches of requests. - Comprehensive execution data review and management. - Basic request tool for ad-hoc execution. - Command line interface. - PDF reports. - Support for cURL commands.
    Starting Price: Starting from $69
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    Tencent Kubernetes Engine
    TKE is fully compatible with the entire range of Kubernetes capabilities and has been adapted to Tencent Cloud's fundamental IaaS capabilities such as CVM and CBS. In addition, Tencent Cloud’s Kubernetes-based cloud products such as CBS and CLB support one-click deployment to container clusters for a variety of open source applications, greatly improving deployment efficiency. Thanks to TKE, you can simplify the management of large-scale clusters and management and OPS of distributed applications without having to use cluster management software or design fault-tolerant cluster architecture. Simply launch TKE and specify the tasks you want to run, and then TKE will take care of all of the cluster management tasks, allowing you to focus on developing Dockerized applications.
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    AutoImager

    AutoImager

    AutoImager

    AutoImager is a full-featured batch image converter and editor software application. The program is easy-to-use and because it's "interface-driven", you don't have to understand programming or even scripting in order to perform the batch conversion and processing tasks. Just pick the files you wish to convert or process, choose the options for the conversion or processing task, and you're ready to go! Each image will be automatically processed, with the appropriate editing, processing, or conversion applied. For example, perform PDF conversion with 140+ other image formats, resize photos, or apply photo enhancement filters. For those who need the power of automation, scripting, or batch file processing, the software features extensive command-line support for endless possibilities with image files. AutoImager is an advanced image converter that supports over 140 different graphic image formats and gives you a wide variety of ways to enhance and alter images.
    Starting Price: $60 one-time payment
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    Apache Hadoop YARN

    Apache Hadoop YARN

    Apache Software Foundation

    The fundamental idea of YARN is to split up the functionalities of resource management and job scheduling/monitoring into separate daemons. The idea is to have a global ResourceManager (RM) and per-application ApplicationMaster (AM). An application is either a single job or a DAG of jobs. The ResourceManager and the NodeManager form the data-computation framework. The ResourceManager is the ultimate authority that arbitrates resources among all the applications in the system. The NodeManager is the per-machine framework agent who is responsible for containers, monitoring their resource usage (cpu, memory, disk, network) and reporting the same to the ResourceManager/Scheduler. The per-application ApplicationMaster is, in effect, a framework specific library and is tasked with negotiating resources from the ResourceManager and working with the NodeManager(s) to execute and monitor the tasks.
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    SUSE Rancher Prime
    SUSE Rancher Prime addresses the needs of DevOps teams deploying applications with Kubernetes and IT operations delivering enterprise-critical services. SUSE Rancher Prime supports any CNCF-certified Kubernetes distribution. For on-premises workloads, we offer the RKE. We support all the public cloud distributions, including EKS, AKS, and GKE. At the edge, we offer K3s. SUSE Rancher Prime provides simple, consistent cluster operations, including provisioning, version management, visibility and diagnostics, monitoring and alerting, and centralized audit. SUSE Rancher Prime lets you automate processes and applies a consistent set of user access and security policies for all your clusters, no matter where they’re running. SUSE Rancher Prime provides a rich catalogue of services for building, deploying, and scaling containerized applications, including app packaging, CI/CD, logging, monitoring, and service mesh.
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    Tungsten Clustering
    Tungsten Clustering is the only complete, fully-integrated, fully-tested MySQL HA, DR and geo-clustering solution running on-premises and in the cloud combined with industry-best and fastest, 24/7 support for business-critical MySQL, MariaDB, & Percona Server applications. It allows enterprises running business-critical MySQL database applications to cost-effectively achieve continuous global operations with commercial-grade high availability (HA), geographically redundant disaster recovery (DR) and geographically distributed multi-master. Tungsten Clustering includes four core components for data replication, data connectivity, cluster management and cluster monitoring. Together, they handle all of the messaging and control of your Tungsten MySQL clusters in a seamlessly-orchestrated fashion.
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    Sysax FTP Automation
    Sysax FTP Automation is file transfer client software capable of automating complex file transfer sequences and associated file processing. It enables files to be sent or obtained privately on the internet by connecting to other file transfer servers. Command line execution: Task scripts can be executed from the command line or from within batch files without the need to schedule them. Public key authentication, protected passwords, and client side SSL certificate. Tasks can be set to repeat at specific time intervals. Tasks can be run based on the status of a monitored folder.
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    Kimi Code CLI

    Kimi Code CLI

    Moonshot AI

    Kimi Code CLI is an AI-powered command-line agent that runs in the terminal to assist developers with software development and terminal operations by reading and editing code, executing shell commands, searching and fetching web pages, autonomously planning and adjusting actions during execution, and providing a shell-like interactive experience where users can describe their needs in natural language or switch to direct command mode; it supports integrations with IDEs and local agent clients via the Agent Client Protocol for enriched workflows and simplifies tasks such as writing and modifying code, fixing bugs, refactoring, exploring unfamiliar projects, answering architecture questions, and automating batch tasks or build and test scripts. Installation is handled via a script that installs the necessary tool manager and then the Kimi CLI package, after which users verify with a version command and configure an API source.
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    Spring Cloud Data Flow
    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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    Bright Cluster Manager
    NVIDIA Bright Cluster Manager offers fast deployment and end-to-end management for heterogeneous high-performance computing (HPC) and AI server clusters at the edge, in the data center, and in multi/hybrid-cloud environments. It automates provisioning and administration for clusters ranging in size from a couple of nodes to hundreds of thousands, supports CPU-based and NVIDIA GPU-accelerated systems, and enables orchestration with Kubernetes. Heterogeneous high-performance Linux clusters can be quickly built and managed with NVIDIA Bright Cluster Manager, supporting HPC, machine learning, and analytics applications that span from core to edge to cloud. NVIDIA Bright Cluster Manager is ideal for heterogeneous environments, supporting Arm® and x86-based CPU nodes, and is fully optimized for accelerated computing with NVIDIA GPUs and NVIDIA DGX™ systems.
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    VFI

    VFI

    21st Century Software

    VFI delivers high-value management of batch applications leveraging analytics and automated process, reducing dependency on domain experts and time-consuming resources. It provides end to end operational resiliency and reduction of business risk for mainframe batch application data by providing immediate insight into data inter-dependencies and vulnerabilities. The robust feature set is built on a foundation of near real-time collection and analysis of SMF data. Analysis of data usage patterns and a comprehensive inventory of curated information enables quick, automated recovery of mainframe batch data for operational use or disaster recovery events without reliance on application expertise. VFI delivers a comprehensive inventory of mainframe batch data usage and backups, and a means to automate backups as well as quickly recover data. The end-to-end, integrated solution for mainframe batch data manages all of the application elements to ensure SLA compliance and availability.
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    Apache Mesos

    Apache Mesos

    Apache Software Foundation

    Mesos is built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications (e.g., Hadoop, Spark, Kafka, Elasticsearch) with API’s for resource management and scheduling across entire datacenter and cloud environments. Native support for launching containers with Docker and AppC images.Support for running cloud native and legacy applications in the same cluster with pluggable scheduling policies. HTTP APIs for developing new distributed applications, for operating the cluster, and for monitoring. Built-in Web UI for viewing cluster state and navigating container sandboxes.
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    SAP Global Batch Traceability
    SAP Global Batch Traceability gives organizations a unified, corporate-level repository that links batch records across disparate systems, whether SAP ERP, warehouse systems, or third-party record-keeping, to create a complete “product genealogy.” It captures and links batch usage, production, distribution, and handling-unit data across sites and systems, enabling visualization and analysis of how raw materials, intermediate batches, and finished goods are related and moved throughout the supply chain. With GBT, companies can generate real-time reports on batch distribution, material balances, and movement history, whether top-down (from raw material to final goods) or bottom-up (from a finished product back to its ingredients). This makes it possible to quickly execute precision holds, withdrawals, or recalls when quality defects or safety issues arise.
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    Workload Automation CA 7
    CA Workload Automation CA 7 (CA WA CA 7) is a highly scalable, fully integrated workload automation solution that allows you to define and execute workloads across the enterprise. Through a single point of control, CA WA CA 7 enables you to distribute or centralize job submission according to business relevance, helping your team to efficiently manage the performance and availability of cross-platform and ERP applications. Improve availability of critical business services. Organizations need to effectively manage large volumes of complex, business–critical workloads across multiple applications and platforms. In such complex environments, a single failure can have a significant impact on an organization’s capability to deliver goods and services. Respond to real time business events. Today’s on-demand business world requires real-time information processing. To compete, IT must rethink how it manages processes and jobs and move towards real–time automation of workloads.
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    Red Hat Advanced Cluster Management
    Red Hat Advanced Cluster Management for Kubernetes controls clusters and applications from a single console, with built-in security policies. Extend the value of Red Hat OpenShift by deploying apps, managing multiple clusters, and enforcing policies across multiple clusters at scale. Red Hat’s solution ensures compliance, monitors usage and maintains consistency. Red Hat Advanced Cluster Management for Kubernetes is included with Red Hat OpenShift Platform Plus, a complete set of powerful, optimized tools to secure, protect, and manage your apps. Run your operations from anywhere that Red Hat OpenShift runs, and manage any Kubernetes cluster in your fleet. Speed up application development pipelines with self-service provisioning. Deploy legacy and cloud-native applications quickly across distributed clusters. Free up IT departments with self-service cluster deployment that automatically delivers applications.
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    Apache Gobblin

    Apache Gobblin

    Apache Software Foundation

    A distributed data integration framework that simplifies common aspects of Big Data integration such as data ingestion, replication, organization, and lifecycle management for both streaming and batch data ecosystems. Runs as a standalone application on a single box. Also supports embedded mode. Runs as an mapreduce application on multiple Hadoop versions. Also supports Azkaban for launching mapreduce jobs. Runs as a standalone cluster with primary and worker nodes. This mode supports high availability and can run on bare metals as well. Runs as an elastic cluster on public cloud. This mode supports high availability. Gobblin as it exists today is a framework that can be used to build different data integration applications like ingest, replication, etc. Each of these applications is typically configured as a separate job and executed through a scheduler like Azkaban.