Open Source Batch Scheduler for hybrid and multi-clouds environments


Build workflows that help you scale in minutes and optimize resource consumption

  • Improve time to results and access information more quickly
  • Leverage the complete datacenter scale to run large jobs
  • Embrace the cloud and benefit from infinite capacity
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Integrate everywhere your job scheduling needs

Distribution & parallelization at scale


distribute at scale

Resource abstraction


resource abastraction through resource manager

For hybrid and multi-cloud


automated scaling on multi-cloud environments

Batch Scheduling Software

With the growing need of IT solutions from the business, it is critical to offer tools that enable automation while integrating with any data sources and applications but it is equally important to offer compute at scale with a small learning curve.

Activeeon offers an open source solution with a wide range of features to support workload automation and batch scheduling at scale. This includes fetching additional resources automatically, a user-friendly workflow interface, migrating data, synchronizing processes, optimizing resource utilization, etc.

Finally, selecting the right workflow engine is critical to become more agile, to enable more users with user-friendly workflow interface and to embrace the cloud opportunity for your business.

Replicate processes at scale

Immediate benefits of batch scheduling solutions

  • Improve time to result or time to access some information, get results in minutes instead of hours
  • Leverage the datacenter scale to run larger batch jobs
  • Embrace the cloud and benefit from its infinite capacity
  • Optimize resource utilization through a granular allocation of resource for each task
  • Fully utilize resources with various resource types: CPU, RAM, CPU, IO, FPGA

Improve user adoption

  • User friendly interfaces to increase user adoption: multi-language, graphical, SDK
  • Simplified controls to distribute workload at scale, manage errors, etc.
  • Replication control available to quickly distribute any application
  • Scalable, with dynamic resource pool
  • Setup recurring jobs and workloads with a granular and rich planner
Workload automation for everyone

Keep control over your automation

Keep Control over your Automation

  • Manage business process from end to end with an automated workflow management
  • Centralize data, trends and forecast through dashboard
  • Audit with logs to ensure regulatory compliance
  • Automate retry on error
  • Alert on error
  • Monitor execution and resource utilization
  • Workflow versioning
  • Control auto-scaling based on the scheduler queue

Integrate anywhere

A key asset for a workload automation solution and scheduling tool is the ability to integrate within any environment and connect to all resources to break silos.

  • Open solution accessible through Rest API, CLI, and UI
  • Connectors to most common data sources MySQL, Postgresql, S3, etc.
  • Integrate with existing data sources such as ERP, BPM, BI, etc.
  • Setup event-based scheduling and triggers to react to any external event
  • Openness and open source, fully integrate with existing processes through a comprehensive Rest API
Integrate everywhere your job scheduling needs

Batch Scheduling Use Cases

Icon analytics

Distribute algorithms at scale.

Algorithms keep requiring more and more processing power in order to collect more accurate results and information previously not accessible.

Job scheduling offer task distribution across a large infrastructure to enable quick access to results and faster iterations.

For instance, distribute statistical R application over the cloud.

Icon sync

Enable everyone with distribution system.

Business line users are becoming more and more IT knowledgeable. Scheduling solution needs to be more accessible through user friendly UI.

Error management, distribution and other key features should be accessible to everyone.

Icon scale

Autoscale.

With any job scheduler, the goal is to manage a queue of workloads. The ability to autoscale and fetch additional resource is key.

With Activeeon, the resource manager can deploy new VMs as soon as the load increase and release them when it is not necessary. You then only pay for what you need.

Testimonials about Activeeon

“Thanks to ProActive and additional optimizations we made along the way with Azure, the batch time which previously was taking us 18 hours, is now down to 5 hours, and by the end of the year, my hope and expectation is to go definitely below 4 hours and possibly less by having more grid hosts and more capacity.”

Guido Imperiale
Lead integration engineer at Legal and General

logo Capgemini, consulting company

“Activeeon is the only solution capable to Schedule any Big Data Analytics, mono-threaded, multi-threaded, multi-core, parallel and distributed.”

CapGemini Lead Engineer for Home Office

logo INRA, biotech company

“The ProActive product perfectly integrates into a hybrid multi-platform architecture. The usage of ProActive allowed us to have a trivialized approach to our processing infrastructure which includes Linux and Windows computers and GPU. This product helped us reduce operational costs by 10.”

Nicolas Pons
Head of InfoBioStat platform at MetaGenoPolis (INRA)