Parseable
6.9#4 in data lake softwareFrom $0.39 a monthFree planWebAPILinuxSelf-hosted
VisitParseable vs Unilake
What both publish
| Fact | Parseable | Unilake |
|---|---|---|
| Deployment | Parseable offers self-hosted OSS, managed cloud, and enterprise deployments with BYOC. | The platform can run across public, private, and hybrid cloud environments, including on-premises deployments. |
| Headquarters | San Francisco, California, United States | The Netherlands |
| Integrations | The site lists integrations including Prometheus, Grafana, Kafka, Redpanda, AWS, Azure, OpenTelemetry, Kubernetes, Fluent Bit, Fluentd, Vector, MinIO, OpenAI, and Anthropic. | Unilake advertises more than 350 pre-built connectors using Singer and projects such as Airbyte and Meltano. |
| Product | Parseable is an open observability platform for logs, metrics, and distributed traces. | Unilake describes itself as an open-source unified data lake analytics platform for data and AI. |
| Security | The site identifies Parseable as GDPR certified and SOC 2 Type II. | The governance page says policies apply across REST, SQL, and S3 access and describes attribute-based access control, context-aware rules, and just-in-time access. |
| Support | The Enterprise plan includes premium support with a dedicated SLA, and the site lists 24×7 product support via portal in its plan comparison. | The support page directs users to GitHub issues, GitHub discussions, and Zulip for bugs, feature requests, and help. |
Parseable plans
- OSSFree
- Cloud$0.39 a month
- Enterprise$15,000 a year
Unilake plans
No prices published.
Pick Parseable if…
Parseable suits teams that want logs, metrics, and traces in one observability platform, with a choice of self-hosted or managed deployment. The Enterprise plan is described for serious teams seeking enterprise-grade observability.
Pick Unilake if…
Unilake may suit organizations seeking an open-source analytics platform with flexible deployment and governance controls. It is also relevant to teams working with multiple lakehouse formats or needing to run the platform in a chosen environment.