Outgrown Airflow?
Airflow is a capable way to orchestrate Python data pipelines, but running it in production means owning a scheduler, a metadata database, and a team that knows DAGs. It was not built to also run your Windows tasks, SAP jobs, file transfers, and SQL Agent steps. JAMS orchestrates all of it, out of the box, with no DevOps team required to keep the lights on.
Free migration tool
See your Airflow jobs in JAMS Scheduler before you commit
JUMP imports your DAGs from the Airflow REST API and previews every job in a free Dry Run report.
Do not take our word for it. Read the reviews. Our CEO reads and responds to every one.
“The Price Is on This Page.”
We are proud to be the value leading job scheduling and orchestration tool on the market and we don’t shy away from it. Our starting price is on our homepage for a reason! Pricing is per agent, so adding jobs doesn’t change the bill.
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Starting at $833 per month, published and transparent
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Priced per agent. Add jobs, the bill stays the same.
Core
Starting at $833
Per month, billed annually
Built for the Whole Enterprise, Not Just Data Pipelines, Out of the Box
Airflow is purpose-built for Python data pipelines defined as DAGs, and it does that well. But it was not designed for continuous or event-based workflows, and running it reliably at scale takes a dedicated team fluent in Python, schedulers, and executor tuning. JAMS orchestrates Windows, Linux, SAP, JD Edwards, SQL, and file transfers alongside your data pipelines, all from one console, with no code required to get started.
Native job types for Windows, Linux, IBM i, SAP, JDE, and SQL -- not just Python DAGs
Visual workflow and dependency designer, no DAG authoring required
Real 24/7 human support in the US, UK, and Australia -- not community forums
Ask When Your Scheduler Last Shipped Something You Noticed
JAMS 7.9 shipped a new web client, a full REST API, an MCP server, and JAX AI, our agent that builds (coming soon!), runs, and repairs jobs on command. Connect your own AI tools to JAMS through MCP and pull the reports and dashboards you always wanted. The roadmap moves fast, and customers steer it — three virtual customer summits a year with direct input on what ships next.
Modern web console
Full REST API and MCP server for connecting your own tooling
JAX AI, our agent, for building and repairing jobs on command
JAX AI, our agent, in action.
“Migration Is Our Job, Not Yours.”
1 · Plan
You get a tailored migration plan with named owners and dates.
2 · Convert
Install JAMS and use JUMP, our free migration utility, to pull your Airflow DAGs directly in. No extract required.
3 · Finalize migration
Your team validates converted jobs and approves the plan. Nothing cuts over until your sign-off.
4 · Cut over
JAMS runs alongside Airflow until your team trusts what it sees. Then you cut over.
Is it risky?
Our team and our premium partners do these migrations for a living. The converter carries most of the load up front, nothing cuts over before your team trusts what it sees, and you can test it on your own export today.
Will it distract my team?
Standing up and maintaining Airflow was probably a data engineering initiative, not a plan to become a full-time platform team. Moving scheduling and orchestration into JAMS lets your data engineers get back to pipelines instead of scheduler maintenance. We take on as much of the lift as we can, and we carry the heavy end.
What does it really cost?
Migration services are fixed bid, so the number you approve is the number you pay. Some environments qualify for a free migration. Ask us if yours does.
See it before you talk to anyone.
Our Windows Task Scheduler, SQL Agent, Cron, and Airflow converters are already live. Download JUMP and see your own DAGs converted in minutes.
How to Buy JAMS
Most teams know exactly where this ends: a signed contract and a migrated environment. Here is the path to get there, start to finish.
Twenty-two days from first call to signed contract. Most of it is you deciding, not you waiting on us.
REGISTER FOR A DEMOJAMS and Apache Airflow, Line by Line
JAMS
Apache Airflow
Price
Published starting price, $833/mo billed annually, priced per agent
Free, open source core; managed hosting and enterprise support are priced separately by third-party providers
Setup & maintenance
Runs out of the box; no dedicated platform team required
Requires ongoing scheduler, metadata database, and executor tuning by a data engineering team
Enterprise application support
Native job types for Windows, Linux, IBM i, SAP, JDE, SQL, and file transfer
Primarily Python-defined DAGs; non-pipeline enterprise systems require custom operators
Workflow authoring
Visual, drag-and-drop workflow designer
DAGs authored as Python code
Support
US, UK, and Australia based, 5+ year average tenure, real humans
Community forums and mailing lists unless paired with a paid managed-hosting provider
Ask When Your Scheduler Last Shipped Something You Noticed
JAMS 7.9 shipped a new web client, a full REST API, an MCP server, and JAX AI, our agent that builds (coming soon!), runs, and repairs jobs on command. Connect your own AI tools to JAMS through MCP and pull the reports and dashboards you always wanted. The roadmap moves fast, and customers steer it: three virtual customer summits a year with direct input on what ships next. If you are still deciding, ask us to invite you to the next one and hear how customers actually talk to us.
Real Humans on Three Continents, Here for the Long Haul
JAMS is profitable, so our existence does not depend on the next funding round. We are backed by experienced software investors who believe growth comes from deep customer relationships. We know you keep a scheduler for a decade or two, and we behave like it.
Your region, your team
Support lives in the United States, the United Kingdom, and Australia. We will never outsource this team.
5+ year average tenure
You are not training your vendor’s engineer.
Round robin, not tiers
Senior engineers take new tickets from day one. Nobody gatekeeps you at level one.
Humans answer
We are not replacing our support team with AI agents.
PH
Every JAMS customer gets the CEO’s direct line. Call or email the top decision maker directly. No gatekeepers.
Email Peter directly
What IT Teams Say About JAMS
“There are many built-in features when it comes to defining job schedules. For instance, you can schedule a job to run at a specific time, on certain days of the week or month, based on the completion of another job, or on an interval, etc.”
Darrell H.
DATABASE ADMINISTRATOR
“JAMS is an intelligent scheduler, it helped to harmonize different and scattered jobs schedulers into one platform…. JAMS features like event-based scheduling, several integration capabilities and the User-friendly UI are helping us to boost productivity.”
Verified User
IN COMPUTER SOFTWARE
“JAMS is great at automating processes that need to send information and variables across multiple platforms and programs. The scheduling functions and file watch triggers are pretty user-friendly and function well.”
Jesse D.
DATA MANAGER
Frequently Asked Questions
What is the best alternative to Apache Airflow for enterprise job scheduling?
What is the best alternative to Apache Airflow for enterprise job scheduling?
JAMS orchestrates the same batch and pipeline work Airflow handles, plus Windows, SAP, JD Edwards, SQL, and file transfer jobs Airflow was not built for, all from one console with no DAG authoring required.
How much does JAMS cost compared to Airflow?
How much does JAMS cost compared to Airflow?
JAMS starts at $833 per month, published on our website. Airflow itself is free and open source, but running it reliably in production typically requires a dedicated team or a paid managed hosting provider.
Does JAMS replace Airflow for data pipeline orchestration?
Does JAMS replace Airflow for data pipeline orchestration?
For teams whose scheduling needs extend beyond Python data pipelines to Windows, SAP, mainframe, or file transfer jobs, JAMS provides a single console instead of running Airflow alongside a separate enterprise scheduler.
Do I need to rewrite my DAGs to switch to JAMS?
Do I need to rewrite my DAGs to switch to JAMS?
No. Send us your DAG definitions and our converter maps Airflow tasks and dependencies into JAMS jobs and workflows automatically.
Is Airflow a good fit for non-pipeline enterprise scheduling?
Is Airflow a good fit for non-pipeline enterprise scheduling?
Airflow was built for Python-defined batch data pipelines and was not designed for continuous, event-based, or non-Python enterprise workloads.
How long does it take to migrate from Airflow to JAMS?
How long does it take to migrate from Airflow to JAMS?
Most teams move from first call to signed contract in about 22 days. You can also use our JUMP migration utility today to pull your Airflow DAGs directly into JAMS at your own pace. Built-in Airflow support in the JAMS client is coming soon.
Does JAMS have AI capabilities?
Does JAMS have AI capabilities?
Yes. JAX AI, our agent, builds, runs, and repairs jobs on command, and an open MCP server connects JAMS to tools like Cursor, VS Code, Claude Code, and Claude Desktop.
Where is JAMS support located?
Where is JAMS support located?
Support is based in the United States, the United Kingdom, and Australia -- real people, not community forums.
