Parseable is a purpose built datalake for observability data. It uses columnar Parquet format on object storage as the foundation. So teams get fast SQL/PromQL based telemetry analysis without the overhead of managing a database or worrying about data silos.
Native support for OpenTelemetry, SQL and PromQL, alerting, forecasting and investigation workflows, and object storage first storage means teams can use Parseable for all their observability needs.
With object storage first economics, Parseable is built to scale with your data and your team. You can start small and grow without worrying about hitting limits or needing to re-architect as your observability needs evolve.
Why Parseable
ClickHouse is a powerful OLAP database for teams that want to build fast analytical systems. Parseable is purpose built observability datalake, with complete feature set for observability workloads.
Parseable uses columnar Parquet and object storage as the foundation for the platform. With support for SQL, PromQL, OpenTelemetry, and object storage first storage built in.
With ClickHouse, teams own more of the surrounding observability system. Parseable packages storage, retention, dashboards, alerts, and investigation workflows into the platform.
ClickHouse can store observability data, but teams still need to design the ingestion path. Parseable supports OpenTelemetry-native workflows to bring logs, metrics, and traces into one platform.
ClickHouse can assist with SQL, but proactive observability still needs custom AI workflows. Parseable includes anomaly detection, forecasting, AI SQL generation, and telemetry investigation workflows inside the platform.
With ClickHouse, teams typically wire alerts through Prometheus, custom polling, or another monitoring layer. Parseable gives teams threshold, anomaly, and absence alerts inside the observability platform, with routing to Slack, PagerDuty, webhooks, and email.
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
Also from Parseable
Handle high-cardinality logs, metrics, and traces at a fraction of the cost with columnar storage.
Unify Kafka metrics, logs, and traces to catch lag, replication issues, and broker failures earlier.
Search, filter, visualize, and investigate logs in plain English or SQL from one platform.
Get the latest updates on Parseable features, best practices, and observability insights delivered to your inbox.
