Why Polysync
Most data teams do not run one platform. A typical estate has Azure Data
Factory pipelines, Databricks jobs, a few Azure Functions, perhaps a Fabric
workspace, and increasingly something on Google Cloud or AWS. Each of those
services can run its own work well. The trouble starts when the work has to
run together.
The problem
A scheduler per service
ADF triggers, Databricks jobs, Function timers, and cloud schedulers each
live in their own portal. Nothing shares a timeline, so nobody can say what
ran when without checking each one.
Making a Databricks notebook wait on an ADF pipeline turns into a webhook, a
queue, and a runbook no-one wants to maintain.
Tasks get rebuilt, not reused
The same steps, parameters, and schedules get recreated for every team,
environment, and project. Because none of it is shared, a fix in one place
rarely reaches the other copies.
No single operational truth
Every platform keeps its own logs, run status, and audit trail. Answering
"what ran, when, and why did it fail" means opening several dashboards and
lining up timestamps by hand.
What Polysync does about it
Polysync is one control plane above those services. It connects to them,
imports what they can run as reusable Jobs, and lets
you build Tasks that are scheduled, chained with
cross-platform dependencies, rate-limited with
Contention Profiles, and
monitored in one place.
Nothing gets replaced. Your pipelines, notebooks, and functions stay
in the services that run them today. Polysync triggers them and tracks the
outcome, and those services keep billing to your own cloud accounts.
Outcomes
- Deliver workflows faster — your existing platform jobs become reusable
building blocks. Teams assemble a workflow from parameters and defaults
instead of rebuilding the same logic for every new project.
- Reduce operational firefighting — schedules, manual runs, retries, and
concurrency limits all live in one place. When something breaks overnight,
whoever is on call has one place to look.
- Avoid building another internal platform — most teams end up building
some version of this themselves, then own it for years. Polysync is that
layer, already built, and maintained for you.
Who builds Polysync
- An Australian registered company — Polysync is built and owned by
Polysync Data Solutions Pty Ltd (ABN 87 683 785 686), an Australian
registered IT consultancy. You contract with a local company under
Australian law, bound by the Privacy Act 1988 and the Australian Privacy
Principles. The product is shaped by consulting work on real data
platforms.
- Built with Microsoft technology — Polysync runs entirely on Microsoft
Azure and is built with Microsoft's development tools, database, and AI
services. Your team signs in with the same Microsoft work account they use
for Teams and Outlook, and your IT administrators grant or remove access
from the Microsoft admin console they already use. There is no separate
user list and no new password to issue.
- On the agreement you already have — Polysync is a transactable Azure
Marketplace subscription, so it arrives as a line on the Azure bill you
already receive. There is no new vendor to onboard.
For how your data is stored and protected, see
Security and data protection.