Xonai Compatibility Radar reveals how much of your Spark workload could run faster — using the event logs you already have.
Security always comes first. Xonai Compatibility Radar does not interact with your jobs, does not access your data, and does not transmit anything outside your environment.
Xonai Radar analyses your Spark event logs in read-only mode. It only inspects which operators ran and how long they took. It never touches the underlying datasets your jobs processed.
Xonai Radar runs locally as a standalone Java process. It does not call external services or send telemetry — nothing leaves your infrastructure.
Choose where the event logs live and where the report lands. Local filesystem, S3, GCS, or HDFS — all supported.
The tool can run inside a Docker container with network access fully disabled using --network none, isolating execution from any external networks.
Xonai Compatibility Radar doesn't measure speedups. It shows whether a pilot is worth running.
Xonai Radar maps your workload against what Xonai covers — and shows how much of your SQL time falls within it.
Actual runtime improvements come from running a pilot on live jobs.
Share the output at radar@xonai.io and the engineer who built Xonai Accelerator reviews your report with you directly.
You will see which operators are supported, what falls outside, and what that means for your workload specifically.
Xonai Compatibility Radar writes two output files with coverage metrics and operator-level detail. Fully transparent and quick to validate.
| App ID | Total Task Time | SQL Task Time | Supported Task Time | Coverage |
|---|---|---|---|---|
| 1772030747255 | 33 min 30 s | 30 min 29 s | 28 min 19 s | 84% covered |
| 1772030748601 | 1 h 59 m 31 s | 1 h 44 m 42 s | 1 h 36 m 41 s | 92% covered |
| 1772030749334 | 4 min 50 s | 3 min 21 s | 2 min 53 s | 86% covered |
See how much of your workload Xonai covers — and where the biggest gains come from.
Most vendors won’t show you this:
every SQL operator in your workload, its support status, and how much task time it carries.
Critical gaps are reviewed on the call with your dedicated Xonai engineer — including their impact and when support is expected.
Open-source, runs anywhere.
No setup overhead.
Point the tool at the event logs.
Results are typically ready in seconds.
Send the report to radar@xonai.io.
On the analysis call, your dedicated Xonai engineer turns it into a clear view of impact and next steps. That's where the numbers become meaningful.
The SQL you write is only the starting point. The tool analyses what Spark actually ran — the physical execution plan.
Reads standard Spark event logs — from development, staging, or historical production workloads.
No access to underlying datasets.
Radar analyses operators like HashAggregate, ShuffleExchange, BroadcastHashJoin — to answer "does it cover our queries?" and capture acceleration potential.
Shows how much of your query runtime Xonai can accelerate.
Review it with your dedicated engineer on a call — so you can determine if a pilot is worth running.
Xonai Compatibility Radar is fully open-source and lives on GitHub. We wrote every line ourselves — no AI coding slop or generated boilerplate. If it helps you make the call, give us a star.
Run the tool. Send the report to radar@xonai.io.
We'll tell you exactly what moves — on a call.
No commitment. No infrastructure changes. No data leaves your environment.