Workload automation for enterprise IT

Workload automation from one console

JAMS Scheduler is one job scheduler and batch scheduler for workflows across mainframe, distributed systems, and cloud platforms, run from a single console.

Free trial · No demo required

Workload automation for enterprise IT

Workload automation from one console

JAMS Scheduler is one job scheduler and batch scheduler for workflows across mainframe, distributed systems, and cloud platforms, run from a single console.

Free trial · No demo required

Workload automation for enterprise IT

Workload automation from one console

JAMS Scheduler is one job scheduler and batch scheduler for workflows across mainframe, distributed systems, and cloud platforms, run from a single console.

Free trial · No demo required

Trusted by IT teams at

Logo Raymond James
Logo Teradata
Logo Farmers Mutual Hail
Logo West Virginia University
Logo Milwaukee
Logo Virginia DMV
Logo Kent State University

Start Your Free Trial

See how JAMS orchestrates workflows across mainframe, distributed systems, and cloud platforms.

The Problem

Workload Automation Tools Splinter Into a Dozen Different Schedulers

Most enterprise teams run workflows across a mix of legacy schedulers, native OS tools, and cloud-native automation, each with its own visibility and its own blind spots. A failure in one system rarely shows up anywhere else, so troubleshooting means logging into every tool separately and correlating timestamps by hand.

One platform for every workflow, on every system

JAMS orchestrates workflows spanning mainframe, distributed systems, cloud services, and containerized applications, all from one platform.

Unified orchestration

See every failure from one console

Manage workflows across Windows, Linux, cloud platforms, and legacy systems in one place. No more logging into each tool and correlating timestamps by hand.

Unified orchestration

See every failure from one console

Manage workflows across Windows, Linux, cloud platforms, and legacy systems in one place. No more logging into each tool and correlating timestamps by hand.

Complex dependency management

Multi-step workflows that recover on their own

Chain steps on files, events, or time. JAMS Scheduler handles conditional logic, parallel execution, and error recovery automatically.

Complex dependency management

Multi-step workflows that recover on their own

Chain steps on files, events, or time. JAMS Scheduler handles conditional logic, parallel execution, and error recovery automatically.

Enterprise-grade reliability

High availability without extra development

Built-in high availability, disaster recovery, and a full audit trail, with no custom work to set them up.

Enterprise-grade reliability

High availability without extra development

Built-in high availability, disaster recovery, and a full audit trail, with no custom work to set them up.

300+ integrations

Connect without custom scripts

Connect to SAP, Oracle, Informatica, Azure Data Factory, AWS services, Hadoop, and 300+ other platforms.

300+ integrations

Connect without custom scripts

Connect to SAP, Oracle, Informatica, Azure Data Factory, AWS services, Hadoop, and 300+ other platforms.

4.6 / 5

4.6 / 5

4.6 / 5

JAMS significantly reduces troubleshooting time for stalled jobs by providing a centralized monitor. Instead of manually checking the status of numerous jobs, we can quickly assess their progress on a single screen.

Kevin G., Software Developer Consultant at Broward Health

Teams that switched on a deadline

JAMS migration tools read your existing job definitions and generate the equivalent jobs in JAMS Scheduler, or our engineers rebuild them with your team.

Logo Virginia DMV

Migrated from ActiveBatch

80+ production jobs moved in two weeks

15 days

First conversation to purchase order

80+

Production jobs moved

2 weeks

Kickoff to production cutover

With less than a month left on its ActiveBatch contract, Virginia DMV moved its full schedule to JAMS Scheduler: file exchanges with other state agencies, SQL Server and Oracle jobs, and mainframe and iSeries interfaces. Zero jobs were lost in the move.

Logo Kent State University

Banner scheduler migration

182 job chains rebuilt in 26 days

26 days

Kickoff to production cutover

182

Job chains rebuilt

0 days

Contingency in the schedule

Kent State went live on JAMS Scheduler the day its previous scheduler contract expired. It runs roughly 25,000 job executions a week, and promoting a chain to production now takes minutes instead of up to an hour.

“It is far easier to move things from development to production, which is not a small thing for a team our size.”

Amanda Kelley-Hurm, Senior Manager, Application Administration Support, Kent State University

Questions before you start

Can I run JAMS Scheduler on-prem, in the cloud, or both?

How hard is it to move off cron, Task Scheduler, or another scheduler?

Do I need a demo to start?

Is JAMS Scheduler secure?

Ready to Consolidate Your Workload Automation Tools?

Test JAMS Scheduler on your own workflows. No demo required.

Start Your Free Trial

See how JAMS orchestrates workflows across mainframe, distributed systems, and cloud platforms.