lakeFS vs Parseable
lakeFS
lakefs.ioParseable
parseable.comSide by side
| Figure | lakeFS | Parseable |
|---|---|---|
| Price from | — | $0.39/mo |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Data Lake Software | 7.5 (#9) | 8.1 (#5) |
| 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. |
Plans
In their own words
lakeFS
lakeFS provides data version control and governance for teams working with petabyte-scale multimodal data. Its engine records changes and uses branches, commits, merges, and rollbacks to manage data versions. Branches create isolated environments without copying data or adding storage costs. Write-Audit-Publish workflows use automated hooks and human review to check changes before merging. Immutable commits, tags, and lineage connect experiments and agent actions to the data versions behind them. Listed controls include role-based access, geo-based policies, data immutability, SSO, and SCIM; lakeFS states that it is SOC 2 compliant and provides audit trails and lineage. It works with AWS S3, Azure Blob, Google Cloud Storage, and on-premises object stores such as MinIO. Integrations include Spark, Trino, DuckDB, Databricks, MLflow, SageMaker, Vertex AI, Kubeflow, Airflow, and Airbyte. Enterprise can run as managed lakeFS Cloud or as a self-managed deployment on-premises, in a private cloud, or in an air-gapped environment. Pricing is on request, and a 15-day trial includes full Enterprise access and support from lakeFS experts.
Parseable
Parseable is an open observability platform for logs, metrics, and distributed traces. Its features include dashboards, alerts, service maps, error pages, and root-cause analysis. Users can query telemetry with SQL or natural language, and use forecasting and AI analysis. Written in Rust, it uses an open columnar format designed for object storage. Deployment choices include self-hosted open source, managed cloud, and enterprise deployments with bring-your-own-cloud options. Listed integrations include Prometheus, Grafana, Kafka, Redpanda, AWS, Azure, OpenTelemetry, Kubernetes, Fluent Bit, Fluentd, Vector, MinIO, OpenAI, and Anthropic. Its MCP connects AI agents to live telemetry through structured tools, and its Slack bot brings operational answers into Slack. The free OSS plan includes SQL queries, dashboards, threshold alerts, OIDC SSO, unlimited users, and customizable retention and object storage. OSS supports only one query node and lacks groups for RBAC. Cloud costs $0.39 per month, billed per GB ingested, and includes 365 days of retention and a 14-day trial. Enterprise starts at $15,000.00 per year.