What is Domino Data Lab?
Domino Data Lab is an end-to-end platform for data science teams to collaboratively build, deploy, and monitor analytical models. It brings together data science workloads across the model development lifecycle with integrated security, governance, and automation capabilities.
Key capabilities and benefits of Domino Data Lab include:
- Centralized workspace for data science teams to develop models in various languages like Python, R, Julia, Scala etc.
- Model deployment tools to convert models into APIs or applications.
- Monitoring tools to track key model metrics and drift over time.
- Collaboration features like workspaces, user access controls, and model lineage tracking.
- Integrations with data sources, compute environments, BI tools, and more.
- Governance features for model review, approval workflows, and model risk analysis.
- Security capabilities like authentication, access controls, and data encryption.
- Automation for model retraining, deployment, monitoring and more.
Overall, Domino Data Lab augments the work of data science teams with an enterprise-ready platform that spans the entire analytical model lifecycle - from development to deployment and monitoring. This improves efficiency, collaboration, and governance across data science initiatives.
JasperReports, Pentaho, Sisense, MicroStrategy Business Intelligence, GridGain In-Memory Data Fabric, Cloudera CDH, HortonWorks Data Platform, Google Cloud Dataproc, Greenplum HD, Platfora, KiniMetrix, IBM InfoSphere BigInsights, Amazon EMR are some alternatives to Domino Data Lab.