Databricks
DBU spend, clusters, jobs, and Spark stages
monitoredDATA + AI WORKLOAD OBSERVABILITY
One plane, from the cloud bill to the Spark stage.
Infra tools stop at the pod. Data tools start at the platform API. telemetria owns the seam between them — every dollar and every second, attributed end to end.
NOT AN APM — KEEP DATADOG & DYNATRACE; WE INGEST OTEL · READ-ONLY CONNECT · FIRST FINDING < 24H
THE SEAM · gold.revenue_daily #3121 · prod-lakehouse LIVE · SAMPLE TELEMETRY
stage 14 · skew 8.4×$0.29 of this dollar
SPARK STAGES · RUNTIME
KUBERNETES EVENTS · THE LAYER UNDERNEATH
01<24hto the first priced finding, read-only
02$0.33/$1bin-packing waste found in the sample pool
036×Databricks-certified · registered partner · ~6.5y delivery
CONNECTED TO YOUR STACK
One cost story across every data platform.
Bring your data platforms and the machines underneath them into the same operating view.
Snowflake
Credits, warehouses, queries, and tasks
monitoredMonitored machines
Cloud instances, Kubernetes nodes, and pods
monitoredTHE GAP
Two toolchains. The answer lives between them.
INFRA TOOLS SEE
Pods, nodes, spend by service
Datadog can tell you a node pool is 61% bin-packed. It cannot tell you which Spark stage — or whose pipeline — is paying for the waste.
DATA TOOLS SEE
Jobs, tables, quality checks
Unravel and Acceldata start at the platform API. A job “ran long” — but the spot reclaim that made it run long lives in a different tool, unjoined.
HOW IT WORKS
From signal to business impact in three clear steps.
Connect read-only
Attach cloud billing, platform, and Kubernetes signals in hours.
Correlate the layers
Map cloud cost through nodes, pods, Spark, and datasets.
Act with confidence
Approve a recommendation, then track the verified outcome.
PROOF
Follow one dollar down the stack.
The trace the industry can’t produce: one CUR line item, attributed through the node pool, the pod, the stage — to the dashboard it feeds. Blue is infra-layer. Amber is the verdict.
cloud accountaws/184602 · CUR line item · c5.4xlarge ×8$1.00
node pooleks/ng-c5.4xl-b · bin-pack 61% · 3 idle-heavy$0.62
podspark-exec-7f2 · req 8Gi / used 3.1Gi$0.41
executor · stageexecutor 14 · stage 14 · skew 8.4× · spill 9.8G$0.29
job → datasetgold.revenue_daily #3121 → dash/exec-kpis$0.29
$0.33 OF EVERY DOLLAR IN THIS POOL IS BIN-PACKING WASTE · FIX: RIGHTSIZE C5.4XL → C5.2XL · VERIFIED −$1,796/MO
MODULES
Four lenses. One correlated plane.
M1
Cost Intelligence
Every job priced per run, every dollar walked to a dataset. SpendGuard enforces the budget lines you draw.
$12.64/run · idle 14% · −6.1% vs plan
M2
Workload Reliability
Runtime vs baseline for every stage — joined to the K8s events that explain the drift, automatically.
stage 14 · 8.4× median · ▲ SKEW · spot reclaim ×2
M3
Data Quality & Lineage
Expectations on every table, column-level lineage to every dashboard. Blast radius answered before you merge.
1,142/1,158 checks ● passing · 3 tables downstream
M4
Optimization Actions
Recommendations with projected savings and blast radius. You approve; we apply, then verify the savings held.
rightsize ×3 · verified −$4.1k/mo
PRICING
Simple pricing that grows with your data estate.
Choose the coverage band that fits today. Add platforms as you expand.
View pricingBOOK A DEMO
Find your next high-value saving.
See your cloud, Kubernetes, and data workloads connected in one control plane.
AUTONOMY, HONESTLY
Everyone now promises an autonomous operator. We show you the rung we haven’t lit.
Competitors ship “Level 4 autonomy.” We ship approval-gated actions with verified savings — because production is not where you discover an agent was wrong. The fifth rung stays dark until verified-rollback is provable on your workloads.
Observe
Every job, stage, pod, and dollar on one plane.
Diagnose
Root cause joined across the seam.
Recommend
Actions priced with blast radius.
Apply, with approval
You click. We execute, then verify.
Unattended
Deliberately unlit — and here's what would light it.
THE FIELD
Strong competitors. Different seam.
We compare honestly — every page opens with what the other side is genuinely good at, and some rows of the table are theirs.
vsUnravel Data →The closest competitor. Deep on the warehouse — blind below the platform API.vsAcceldata →Data observability at serious scale. The infra story is still YARN-era.vsDynatrace →The reference for general observability. It doesn't speak DBUs, credits, or stages.
all comparisons → including the real incumbent: Datadog + a spreadsheet.
READ THIS FIRST
Read this to disqualify us.
- No streaming-native support yet — Flink shops should wait.
- Compliance: [NEEDS INPUT: SOC 2 status]
- If Datadog + a spreadsheet already answers “who spent it,” you may not need us.
BUILT BY OPERATORS
The people who ran these platforms.
Vrahad Analytics is a Databricks-registered partner with 6× certified specialists and 6.5+ years of delivery experience.
Amgen
AstraZeneca
Coca-Cola
FanDuel
Assurant
Hexion
Kingfisher / TCS
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See your seam in 24 hours.
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