lakeFS
5.7#11 in data lake softwareWebAPISelf-hosted
VisitlakeFS vs Parseable
What both publish
| Fact | lakeFS | Parseable |
|---|---|---|
| Deployment | lakeFS Enterprise can run as a managed Cloud service or be self-managed on S3-compatible infrastructure; the pricing page also lists on-premises, private cloud, and air-gapped deployment. | Parseable offers self-hosted OSS, managed cloud, and enterprise deployments with BYOC. |
| Integrations | The integrations documentation lists tools including Spark, Trino, DuckDB, Databricks, MLflow, SageMaker, Vertex AI, Kubeflow, Airflow, and Airbyte. | The site lists integrations including Prometheus, Grafana, Kafka, Redpanda, AWS, Azure, OpenTelemetry, Kubernetes, Fluent Bit, Fluentd, Vector, MinIO, OpenAI, and Anthropic. |
| Intended users | The product page describes use by data engineers, data scientists, ML engineers, ML platform teams, and agentic AI initiatives. | The site describes Enterprise as best for serious teams looking for enterprise-grade observability. |
lakeFS plans
- lakeFS EnterprisePriced on request
Parseable plans
- OSSFree
- Cloud$0.39 a month
- Enterprise$15,000 a year
Pick lakeFS if…
lakeFS is aimed at data engineers, data scientists, ML engineers, and ML platform teams managing governed data workflows. It also describes use for agentic AI initiatives.
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.