Possible label combinations
From just 5 regions × 3 log levels × 50 services × 10M user IDs. Columnar storage isolates each field so cardinality doesn't multiply your costs.
Faster queries under load
Column skipping means Parseable only reads the fields your query touches, not every row. Dashboards and alerts stay responsive even as cardinality grows.
Query latency at billion-event scale
No more capping retention or coarsening granularity to stay within limits. Keep the full label set your team needs for root cause analysis.
Why Parseable
Columnar storage isolates high cardinality fields instead of letting them multiply across the whole system. Better compression, faster queries, lower cost.
Each field is stored as its own column and scanned independently. A high-cardinality user_id field does not inflate the cost of reading log_level.
Label-heavy telemetry that creates storage overhead in row-based systems compresses efficiently in Parseable's columnar format.
Query by service, pod, tenant, user, or trace context without bouncing between tools.
Point your existing OTel collector at Parseable. No re-instrumentation. No agent swaps.
Choose Parseable Cloud or BYOC based on your security, compliance, and operational model. Your data never leaves your environment.
PromQL
Parseable lets teams query high-cardinality metrics with PromQL while keeping useful labels intact. Filter, group, and aggregate by dimensions like service, region, pod_name, namespace, or trace_id, with columnar storage built to handle rich telemetry efficiently.
See PromQL docsQuery by service, pod, namespace, endpoint, region, or other high-cardinality dimensions without dropping context before an investigation starts.
Use PromQL-style grouping and aggregation to move from millions of raw metric series to focused views by service, workload, cluster, or tenant.
Teams already using Prometheus-style workflows can query high-cardinality metrics with PromQL while using Parseable's columnar storage model for scalable telemetry analysis.
Use Cases
Monitor applications, databases, infrastructure, network, and cloud providers from a single platform. Parseable's columnar storage keeps high cardinality telemetry manageable without forcing you to drop labels or cap retention.
Monitor applications, databases, infrastructure, network, and cloud providers from a single platform. Parseable's columnar storage keeps high cardinality telemetry manageable without forcing you to drop labels or cap retention.
Leverage telemetry data from MCPs, LLMs, and Agents to build end-to-end visibility with confidence. Track token usage, latency per model, and cost across inference calls.
Total sessions
1,246
−12%
Total tokens
18.2M
+23%
Latency P95
5.32s
−7%
Error rate
2.4%
−17%
My order #88821 hasn't arrived and I'd like a refund...
My package was supposed to arrive yesterday, can you...
I received the wrong item and I would like to exchange...
I want to delete my account and all associated data...
I just wanted to say how great the support was during...
Can you confirm that my payment of $142.50 was processed...
I'd like to upgrade my plan to Pro but the button isn't...
Understand user behavior, feature adoption, and performance to optimize the user experience. Correlate product events with infrastructure telemetry for a complete picture.
Capture and analyze user activity, system events, and security logs to ensure compliance and security. Columnar storage keeps audit queries fast even at billion-event scale.
2026-04-29T09:23:59.847
2026-04-29T09:24:01.203
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