Lamin vs MLRun

LaminDB is Lamin's open-source, format-agnostic lakehouse and programmable memory layer for research and development. It tracks data, code and agent activity across notebooks, scripts and workflows, and provides schema-based records for LIMS and ELN use cases, including ontologies and notes. Users can validate and annotate datasets, then manage changes through branching and versioning data and code. Documented integrations include Claude Code, GitHub Copilot, Cursor, Git, Nextflow with Seqera, PyTorch Lightning, Weights & Biases, MLflow and Vitessce. Read/write storage includes local filesystems, AWS S3, S3-compatible services such as MinIO and Cloudflare R2, and Google Cloud Storage; HTTP/HTTPS and Hugging Face are read-only. Lamin provides web, API and self-hosted options. The Free plan is free for open assets and public database queries, with no hosted database listed. Pro is $20 a month billed annually. Team and Enterprise are each $200 a month billed annually per seat; Enterprise includes full on-prem deployment in the customer's AWS account. Lamin says it is SOC 2 certified and encrypts Lamin-managed deployments in transit and at rest. The maker was founded in 2022 and is headquartered in Munich and New York City.

MLRun is an open-source framework for orchestrating machine-learning and generative-AI applications across their lifecycles. It automates data preparation, model tuning, customization, validation, and optimization for ML models and large language models over elastic resources. Its feature store can collect, transform, store, catalog, serve, and monitor data features. MLRun supports multi-cloud, hybrid, and on-premises deployments with built-in observability; documented options include Kubernetes, AWS, Azure AKS, and Iguazio’s managed service. The ecosystem includes storage and data systems such as S3, Google Cloud Storage, BigQuery, Snowflake, Kafka, Spark, and Dask, alongside PyTorch, TensorFlow, XGBoost, and ONNX. CI/CD integrations include GitHub Actions, GitLab CI/CD, Jenkins, and Kubeflow Pipelines. MLRun also lists model registry, experiment tracking, pipeline orchestration, model serving, data versioning, and managed compute. The open-source plan costs nothing and includes community support. Managed MLRun includes LDAP integration, user and group management, service authentication and authorization, secured API-gateway authentication, service monitoring, log management, and 24/7 enterprise support.