Parseable Inc.
Parseable builds open, cloud-native observability infrastructure that unifies logs, metrics, traces and events in one platform. Its Rust-based, object-storage-native data lake uses open Parquet and open standards to provide scalable, cost-efficient and data-sovereign telemetry analytics.
At a Glance
- Engineering and SRE teams
- Cloud-native and Kubernetes teams
- Organizations operating AI agents and LLM infrastructure
- Enterprises with high-volume or high-cardinality telemetry
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AI Tools by Parseable Inc.
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Parseable
Open Source Observability Platform
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Products & Services
AGPLv3 open-source, single-binary observability platform for self-managed deployments; stores telemetry as Parquet in object storage.
Fully managed Parseable offering with managed infrastructure, automatic updates and a 14-day free trial.
Commercial edition with premium support, bring-your-own-bucket storage, Apache Iceberg support, flexible deployment and data-residency configuration.
Parseable's unified observability interface introduced as part of Parseable 2.0.
Market Position
Parseable positions itself against observability and log-analytics products such as Better Stack, Axiom, Elasticsearch and ClickHouse. Its differentiation is a unified logs/metrics/traces platform built around open Parquet and S3-compatible object storage, separation of storage and compute, OpenTelemetry support, long-retention economics and predictable ingestion-based pricing.
Leadership
Founders
Nitish Tiwari
Founder and CEO of Parseable, with more than a decade of experience in cloud-native technologies and open-source software; prior data-engineering roles included MinIO and DataStax.
Executive Team
Nitish Tiwari
Founder and CEO
Cloud-native and open-source software leader with more than a decade of experience; previously worked in data engineering at MinIO and DataStax.
Founding Story
Parseable was started to address the complexity, fragmentation and cost of modern observability. The founding vision was a simple unified engine for logs, metrics and traces, built in Rust, storing telemetry in customer-controlled object storage in an open format, and able to run in VPCs and air-gapped environments.
Business Model
Revenue Model
Open-core model: free AGPLv3 self-hosting, usage-based managed cloud pricing based on telemetry ingestion, and contract-priced Enterprise subscriptions with premium support and deployment options.
Pricing Tiers
Run the open-source edition yourself.
Includes 365-day retention, 99.9% uptime SLA, AI-native analysis, anomaly detection, unlimited users, dashboards, alerts and full API access; 14-day free trial.
Premium support, bring-your-own-bucket storage, Apache Iceberg support, flexible deployment and data-residency configuration.
Target Markets
- Engineering and SRE teams
- Cloud-native and Kubernetes teams
- Organizations operating AI agents and LLM infrastructure
- Enterprises with high-volume or high-cardinality telemetry
- Security-conscious and data-sovereignty-sensitive organizations
- Teams seeking open-source alternatives to proprietary observability platforms
- Unified infrastructure and application observability
- AI-agent and LLM observability
- High-cardinality telemetry analytics
- Reducing observability storage and operating costs
- Data-sovereign, VPC and air-gapped observability
- Centralizing logs, metrics and traces as an open queryable data asset
- The Parseable homepage says it is trusted by thousands of teams for mission-critical observability.